BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Enterprise Big Data Framework - ECPv6.8.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.bigdataframework.org
X-WR-CALDESC:Events for Enterprise Big Data Framework
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240926T100000
DTEND;TZID=Europe/Amsterdam:20240926T110000
DTSTAMP:20260730T183304
CREATED:20231226T014409Z
LAST-MODIFIED:20240918T090758Z
UID:21845-1727344800-1727348400@www.bigdataframework.org
SUMMARY:Mastering the Art of Data Storytelling
DESCRIPTION:Webinar Description \nElevate your data communication skills through the art of storytelling. Discover how to convey complex data insights in a compelling and accessible manner\, fostering better understanding and decision-making. \nIn a world saturated with data today\, the ability to craft compelling narratives from numbers is more than just a skill—it is an art that sets professionals apart and empowers them to make a lasting impact. This session invites participants to explore the transformative power of weaving data into engaging and impactful stories. \nData\, often perceived as cold and impersonal\, becomes a powerful tool when harnessed to tell stories that resonate. Beyond raw statistics and figures\, data storytelling is about communicating complex information in a way that is not only comprehensible but also memorable and persuasive. Whether you are a data analyst\, business professional\, or aspiring storyteller\, this webinar is designed to equip you with the skills needed to master the art of data storytelling. \n  \nKey Topics \n\nThe Essence of Data Storytelling: Understand the fundamental principles of data storytelling and explore how storytelling can enhance data comprehension and decision-making.\nCrafting a Narrative with Data: Learn techniques to structure data into a cohesive and persuasive narrative. Understand the importance of context and audience in crafting data stories.\nVisualizing Data for Impact: Explore effective data visualization strategies to enhance storytelling.\nHumanizing Data: Understand the emotional and relatable aspects that resonate with audiences.\nPractical Applications and Case Studies: Analyze case studies to understand the strategies behind impactful data narratives.\n\n  \nWho Should Attend \n\nData analysts and scientists aiming to communicate findings effectively.\nBusiness professionals looking to convey insights to diverse stakeholders.\nAnyone interested in elevating their communication skills through data storytelling.\n\n  \nYour Instructor \nBabalo Mpunga\, Director\, Principal Consultant\, and EBDF Accredited Trainer at Kineteek Technologies (Pty) Ltd)\, South Africa. As a certified Business Intelligence (BI) and Strategy Consultant with over 12 years of experience\, Babalo graduated with a bachelor’s degree in information system management. His expertise spans business & data modeling\, data quality\, solution architecture\, and managing data teams. Implementing 16+ BI projects across sectors\, Babalo brings practical experience and a cross-functional perspective\, emphasizing the strategic impact of information systems on business transformation. \n  \nJoin us for an enriching exploration of data storytelling\, where you’ll learn to captivate and inspire through the narratives hidden within your data. Unleash the potential of your data by mastering the art of storytelling. Don’t miss this opportunity to transform your approach to data communication! \nRegister Here\n  \n  \nAbout Kineteek Technologies (Pty) Ltd \nKineteek Technologies (Pty) Ltd is a dynamic organization founded on the principles of innovation\, global excellence\, and distinct value creation. Specializing in business and technology consulting\, Kineteek Technologies partners with clients in their data-driven change initiatives. The organization focuses on developing\, delivering\, and managing high-quality business data systems tailored to the unique information needs of its customers. For more information\, please visit www.kineteek.com.
URL:https://www.bigdataframework.org/event/mastering-the-art-of-data-storytelling/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/12/MC-Event-Featured-Images-714-x-500-6.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240823T100000
DTEND;TZID=Europe/Amsterdam:20240823T110000
DTSTAMP:20260730T183304
CREATED:20240726T082527Z
LAST-MODIFIED:20240726T115224Z
UID:22963-1724407200-1724410800@www.bigdataframework.org
SUMMARY:Data Literacy for AI and Data Drive Organizational Growth
DESCRIPTION:Overview \nIn the rapidly evolving digital landscape\, mastering data and AI is essential for fostering innovation and achieving organizational growth. This webinar\, hosted by Enterprise Big Data Framework and presented by Qlik experts Priscila Paolinelli and Angelika Klidas\, will guide you through the essentials of data literacy and AI proficiency. Learn how to leverage these technologies to enhance decision-making\, optimize business processes\, and foster a culture of continuous learning and innovation within your organization. Through practical insights and real-world examples\, this webinar will equip you with the knowledge and skills needed to thrive in the age of AI. \n  \nLearning Objectives \n\nAI’s Impact Across Industries – See how AI influences decision-making with examples like Siri and Alexa\, and learn about its evolution from the 1950s to the present.\nUnderstanding AI – Discover AI’s nature\, including adaptive learning and user-defined outcomes\, and explore types of AI such as Analytical (data analysis) and Generative (content creation).\nData & AI Literacy – Master essential skills for effective data and AI analysis and communication\, and identify key skills needed for a data-literate\, AI-ready workforce.\nBuilding an AI-Ready Workforce– Learn strategies for developing a skilled\, AI-literate workforce while emphasizing the importance of fostering innovation and reskilling employees.\n\n  \nModerator \nJan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. \n  \nYour instructors \nAngelika Klidas is a seasoned expert in data and analytics\, known for her strategic thinking and problem-solving skills. As a former Operations Manager and current Challenger and Advisor at Business Data Challengers\, she excels in analyzing BI & Analytics environments and guiding organizations in their data maturity journey. \nAngelika is also a Qlik Educator Ambassador and Qlik Partner Ambassador\, in addition to her role as a lecturer at the Amsterdam University of Applied Sciences. She provides practical and strategic insights to Data & Analytics students through interactive teaching. Angelika actively participates in industry conferences\, shares her expertise through articles and blogs\, and is dedicated to advancing data literacy globally. \n  \nPriscila Paolinelli is the Head of Data Analytics at Vallourec\, a global steel company\, where she spearheads Data Awareness initiatives to bolster the company’s strategic and decision-making capabilities. With 23 years of experience in information technology\, she focuses on BI\, Analytics\, AI\, and Data Literacy across various sectors. \nShe is also a Qlik Luminary and Qlik Educator Ambassador\, recognized globally for her expertise and impact with the Qlik platform. Since 2016\, Priscila has served as a postgraduate professor at PUC-MG\, specializing in Business Intelligence\, Management and Strategic Data Analysis\, IoT\, and Market Intelligence. Her mission is to empower individuals to achieve data literacy and transform data into actionable insights that drive value. \n  \nWho Should Attend \n\nBusiness Leaders and Decision-Makers: Interested in leveraging data and AI to drive strategic growth and innovation within their organizations.\nData Analysts and IT Professionals: Seeking to enhance their skills in data analysis\, AI tools\, and the technical implementation of AI solutions.\nHR Managers and Educators: Looking to develop and implement training programs that build a data-literate and AI-ready workforce\, and integrate these skills into educational curricula.\nIndividuals Interested in Data and AI: Anyone aiming to understand and utilize data and AI technologies to foster organizational growth and improve decision-making.\n\n  \nRegister Now \nSeize this opportunity to learn from industry experts and acquire the knowledge to drive innovation in your organization. Register now to start your journey toward mastering data and AI! \n  \nRegister Here\n  \nAbout Qlik \nQlik is at the forefront of transforming data into actionable insights. Leading the way to AI-powered enterprises\, Qlik excels in data integration\, quality\, and analytics. By leveraging Qlik’s advanced capabilities\, organizations can maximize their data’s potential and achieve superior business outcomes. \n 
URL:https://www.bigdataframework.org/event/data-literacy-for-ai-and-data-drive-organizational-growth/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2024/07/MC-Event-Featured-Images-714-x-500-9.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240725T110000
DTEND;TZID=Europe/Amsterdam:20240725T120000
DTSTAMP:20260730T183304
CREATED:20231226T014243Z
LAST-MODIFIED:20240723T072351Z
UID:21843-1721905200-1721908800@www.bigdataframework.org
SUMMARY:Empowering Success: Building Data Literacy Skills for Individuals and Organizations
DESCRIPTION:Webinar Description \nRecognize the importance of data literacy in the contemporary business landscape. Acquire skills and knowledge that empower both individuals and organizations to harness the full potential of their data. \n  \nIn an era where data permeates every facet of our personal and professional lives\, possessing the ability to not only comprehend but also leverage data has become a vital skill set. This session is crafted to guide participants through strategies that empower individuals and organizations alike to navigate the intricate data landscape effectively. \n  \nThe modern business landscape is undergoing a profound shift\, with data emerging as a strategic asset that drives decision-making\, innovation\, and competitive advantage. However\, the true power of data lies not just in its abundance but in the ability of individuals and organizations to harness its insights. Data literacy—the capacity to understand\, interpret\, and work with data—is no longer a niche skill; it is a fundamental competency that can spell the difference between success and stagnation. \n  \nOur webinar serves as a beacon for those seeking to bolster their data literacy skills. Whether you are an individual looking to enhance your capabilities or an organization aiming to foster a data-literate culture\, this session offers a comprehensive exploration of strategies that go beyond the surface\, empowering you to unlock the full potential of data. \n  \nKey Topics \n\nFoundations of Data Literacy – Understand the significance of data literacy in personal and organizational growth.\nChallenges and Solutions- Identify common challenges hindering the development of data literacy. Explore practical solutions and best practices to overcome these challenges.\nCultivating a Data-Driven Culture – Learn how to foster a culture that values and integrates data literacy. Understand the organizational benefits of embracing a data-driven mindset.\nStrategies for Skill Enhancement – Discover effective strategies for enhancing data literacy skills at the individual and team levels.\nReal-World Success Stories – Learn from real-world examples and understand the transformative impact of data literacy.\n\n  \nWho Should Attend \n\nProfessionals seeking to enhance their data literacy skills.\nManagers and leaders aim to foster a data-driven culture in their organizations.\nIndividuals interested in understanding the practical applications of data literacy.\n\n  \nSpeaker \nJan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. \n  \nJoin us for an insightful journey into the world of data literacy\, where you’ll gain the knowledge and tools needed to thrive in an increasingly data-centric environment. Don’t miss this opportunity to empower yourself and your organization with the skills necessary for success. \nRegister Here
URL:https://www.bigdataframework.org/event/empowering-success-building-data-literacy-skills-for-individuals-and-organizations/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/12/MC-Event-Featured-Images-714-x-500-5.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240613T090000
DTEND;TZID=Europe/Amsterdam:20240613T100000
DTSTAMP:20260730T183304
CREATED:20231226T014029Z
LAST-MODIFIED:20231226T085318Z
UID:21841-1718269200-1718272800@www.bigdataframework.org
SUMMARY:Cognitive Analytics: Transforming Data into Intelligent Insights
DESCRIPTION:Webinar Description \nExplore the cutting-edge realm of cognitive analytics. Witness how data can be transformed into intelligent insights\, leveraging advanced analytics and artificial intelligence for informed decision-making. \n  \nIn this session\, we extend a warm invitation to professionals and enthusiasts alike\, eager to delve into the cutting-edge world of cognitive analytics and witness firsthand its transformative influence on the way we interpret and leverage data for decision-making. \n  \nThe era of cognitive analytics represents a paradigm shift in the analytics landscape\, where data is not merely processed but comprehended at an intelligent level. As we welcome you to this webinar\, our primary objective is to navigate the intricate landscape of cognitive analytics\, shedding light on its capabilities\, diverse applications\, and the boundless potential it holds for revolutionizing the extraction of meaningful insights from organizational data. \n  \nAt the core of our exploration lies a fundamental understanding of cognitive analytics. It transcends traditional analytics methodologies by integrating advanced technologies such as artificial intelligence\, machine learning\, and natural language processing.. \n  \nKey Topics \n1.             Introduction to Cognitive Analytics: Understand the fundamentals of cognitive analytics and its distinction from traditional analytics. Explore how cognitive analytics leverages artificial intelligence and machine learning to extract insights. \n2.             Cognitive Computing and Natural Language Processing (NLP): Delve into the role of cognitive computing in understanding unstructured data. Explore how NLP enables machines to comprehend and interact with human language. \n3.             Real-time Decision Support: Explore how cognitive analytics enables real-time decision-making by processing and analyzing data instantly. Understand the impact on operational efficiency and strategic decision support. \n  \nWho Should Attend \n•              Data scientists\, analysts\, and professionals involved in advanced analytics. \n•              Business leaders exploring the integration of cognitive analytics for strategic decision-making. \n•              Individuals interested in the latest advancements in artificial intelligence and data interpretation. \n  \nSpeaker \nJan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. \n  \nJoin us for an enlightening session where we unravel the potential of cognitive analytics\, providing you with insights and strategies to harness the full power of intelligent data interpretation in your organization. Don’t miss this opportunity to explore the future of analytics! \nRegister Here
URL:https://www.bigdataframework.org/event/cognitive-analytics-transforming-data-into-intelligent-insights/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/12/MC-Event-Featured-Images-714-x-500-2.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240510T150000
DTEND;TZID=Europe/Amsterdam:20240510T160000
DTSTAMP:20260730T183304
CREATED:20240501T070231Z
LAST-MODIFIED:20240510T070240Z
UID:22215-1715353200-1715356800@www.bigdataframework.org
SUMMARY:
DESCRIPTION:Why Big Data is important in 2024 Part 1\n\nJoin our panelists for 60 minutes of lively conversation on why big data is important. Our expert panel will explore the landscape of data-driven decision-making\, highlighting its pivotal role in shaping industries\, driving innovation\, and empowering businesses to stay ahead. Don’t miss this opportunity to gain valuable insights from industry leaders and discover how harnessing the power of Big Data can unlock endless possibilities for growth and success. \n\n\n\n\n\nSubmit your questions and vote on others!\n\nJoin us on this show and ask all the questions you have relating to project delivery. \nAPMG use SLIDO as our question platform. You can add your questions\, and vote on others. The most popular questions are prioritised and get a little more time. You can add your questions now and even during the show here: \nADD YOUR QUESTIONS AND VOTE ON OTHERS!  \n\n\n\n\n\nA Safe Space\n\nLevel Up is perfect for you to ask the real questions you have in a safe\, supportive and professional environment. Whether you are looking for career advice\, or some top tips on how to approach a tricky situation\, we are here to help. \n\n\n\n\n\nStreamed LIVE to YouTube and LinkedIn\n\nLevel Up events are streamed LIVE YouTube and LinkedIn\, so you can access the show wherever and however you wish. Recordings are bookmarked and archived to YouTube\, so be sure to subscribe to our channel and hit the notification bell. \nYou can also follow an audio version by subscribing to the Level Up Podcast. Available now on Apple\, Spotify\, Amazon and Google. \n\n\n\n\n\nVolunteer to join us\n\nIf you would like to join us on the panel or receive a schedule of upcoming shows\, let us know using the link below. \nJOIN OUR COMMUNITY. \n\n\n\n\n\nFuture Schedule\n\nBe sure to Follow APMG-International so you are the first to hear about the full range of help you can get to Level Up your career\, and of course our full schedule of Level Up events. \nWe look forward to welcoming you to this episode.
URL:https://www.bigdataframework.org/event/apmg-webinar/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2024/05/245-et.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240321T090000
DTEND;TZID=Europe/Amsterdam:20240321T100000
DTSTAMP:20260730T183304
CREATED:20231226T013715Z
LAST-MODIFIED:20231228T012657Z
UID:21839-1711011600-1711015200@www.bigdataframework.org
SUMMARY:Data Management Process Explained
DESCRIPTION:Webinar Description \nNavigate through the intricate web of data management processes. Gain insights into best practices\, tools\, and strategies for seamless data governance and management. \nThis session invites participants to embark on a journey into the essential elements of data management\, offering a comprehensive introduction to the core principles and processes that underpin effective data management strategies. Whether you’re new to the field or seeking a refresher on foundational concepts\, this webinar is tailored to provide invaluable insights into establishing a robust groundwork for your data initiatives. \nThe contemporary business landscape is increasingly data-driven\, emphasizing the pivotal role of efficient data management in organizational success. As organizations grapple with vast and diverse datasets\, the need for a systematic and organized approach to data management has become more pronounced than ever. \nOur webinar seeks to understand the intricacies of the data management process\, catering to a diverse audience ranging from beginners in the field to seasoned professionals looking to reinforce their foundational knowledge. We will navigate through the fundamental principles that serve as the cornerstones of effective data management\, addressing critical aspects such as data collection\, storage and retrieval. \n  \nKey Topics \n1. Understanding Data Management Processes: Explore the fundamental processes that define the Data Management lifecycle. Understand how well-structured processes \ncontribute to efficient data handling. \n2. Data Collection and Entry: Learn best practices for data entry to ensure data integrity from the outset. \n3. Data Storage and Retrieval Processes: Explore the processes involved in storing and retrieving data efficiently. \n4. Monitoring and Management: Learn about processes for assessing and improving data quality. \n5. Effective Data Communication and Education within the Organisation. \n  \nWho Should Attend \n• Data professionals\, analysts\, and managers involved in Data Management. \n• Business leaders and decision-makers interested in optimizing data processes. \n• Individuals looking to understand the foundational processes of effective Data Management. \n  \nJoin us for this illuminating webinar as we uncover the intricacies of foundational Data Management processes\, empowering you to build a solid foundation for effective data \nhandling within your organization. Set the stage for success in your data management endeavours \nRegister Here\n  \nYour Instructor \nBabalo Mpunga\, Director\, Principal Consultant\, and EBDF Accredited Trainer at Kineteek Technologies (Pty) Ltd\, South Africa. As a certified Business Intelligence (BI) and Strategy Consultant with over 12 years of experience\, Babalo graduated with a bachelor’s degree in information system management. His expertise spans business & data modeling\, data quality\, solution architecture\, and managing data teams. Implementing 16+ BI projects across sectors\, Babalo brings practical experience and a cross-functional perspective\, emphasizing the strategic impact of information systems on business transformation. \n  \nAbout Kineteek Technologies (Pty) Ltd \nKineteek Technologies (Pty) Ltd is a dynamic organization founded on the principles of innovation\, global excellence\, and distinct value creation. Specializing in business and technology consulting\, Kineteek Technologies partners with clients in their data-driven change initiatives. The organization focuses on developing\, delivering\, and managing high-quality business data systems tailored to the unique information needs of its customers. For more information\, please visit www.kineteek.com. \n 
URL:https://www.bigdataframework.org/event/data-management-process-explained/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/12/MC-Event-Featured-Images-714-x-500-1.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240229T100000
DTEND;TZID=Europe/Amsterdam:20240229T110000
DTSTAMP:20260730T183304
CREATED:20240202T074505Z
LAST-MODIFIED:20240202T074505Z
UID:21898-1709200800-1709204400@www.bigdataframework.org
SUMMARY:Enterprise Big Data: Next Generation Innovation Webinar
DESCRIPTION:Webinar Description\nUnlock the power of Big Data and propel your business to new heights! Mark your calendar for 29th February 2024 at 11:00 SAST (09:00 GMT) and join us live for an engaging webinar that will delve into the essential building blocks of a successful Big Data strategy. \nIn this dynamic session\, we will explore how a well-crafted Big Data strategy can not only ensure the survival of your business but also drive unprecedented growth. Gain a deeper understanding of your customers\, uncover the reasons behind their choices\, and learn how to enhance your services through the latest trends and robust analytics. \nOur distinguished panel of experts will be your guides\, sharing best practices\, insights\, and invaluable advice on initiating and optimizing your Big Data journey. Whether you’re just starting or looking to refine your existing strategy\, this webinar is your gateway to harnessing the full potential of Big Data for business success. \nDon’t miss this opportunity to stay ahead of the curve. Reserve your spot now and embark on a transformative journey towards mastering Big Data for sustainable business growth!
URL:https://www.bigdataframework.org/event/enterprise-big-data-next-generation-innovation-webinar/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2024/02/EBD-Kineteek-Save-the-Date.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240222T090000
DTEND;TZID=Europe/Amsterdam:20240222T100000
DTSTAMP:20260730T183304
CREATED:20231226T034550Z
LAST-MODIFIED:20231226T085259Z
UID:21837-1708592400-1708596000@www.bigdataframework.org
SUMMARY:Data Preparation: Data Cleansing
DESCRIPTION:Webinar Description \nUncover the secrets of effective data preparation and learn the art of data cleansing. Understand how to enhance the quality of your data\, ensuring that your analytics and insights are built on a robust foundation. \nData preparation is a critical phase in the data lifecycle\, encompassing the processes of cleaning\, standardizing\, and enriching raw data. It serves as the bedrock for effective analytics and data science endeavors\, ensuring that insights derived are not only accurate but also reliable. Surprisingly\, a significant portion of a data professional’s time—often exceeding 80%—is dedicated to the meticulous tasks of finding\, cleansing\, and organizing data. This underscores the pivotal role that data preparation\, and specifically data cleansing\, plays in the overall data management process. \nAt the core of data preparation lies the process of data cleaning—an intricate procedure involving the alteration of existing records to identify and rectify\, or in some cases\, remove corrupt or inaccurate entries from a record set\, table\, or database. As the linchpin of data quality assurance\, data cleaning is essential for mitigating errors and ensuring the integrity of your datasets. \nIn this webinar\, Jan Willem will explain the key objectives of data cleansing and the purpose of the operations typically used in a data cleansing process. \nSpeaker \nJan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. \n  \nRegister Here
URL:https://www.bigdataframework.org/event/data-preparation-data-cleansing/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/12/MC-Event-Featured-Images-714-x-500.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20231130T110000
DTEND;TZID=Europe/Amsterdam:20231130T120000
DTSTAMP:20260730T183304
CREATED:20230810T090248Z
LAST-MODIFIED:20230815T074850Z
UID:21319-1701342000-1701345600@www.bigdataframework.org
SUMMARY:EBDF Members Exclusive: Enterprise Big Data Analyst Sample Exam Papers Walkthrough
DESCRIPTION:This webinar is tailored for those aiming to excel in the EBDF Analyst Exam Certification. Jan Willem Middelburg will once again take the lead\, guiding you through the EBDF Analyst Exam Papers. Don’t miss this opportunity to prepare for the EBDF Analyst exams. \n  \nWebinar Details \nDate:  30 November 2023\, Thursday\nTime: 11:00 AM – 12:00 PM CEST \n  \nRegister Here
URL:https://www.bigdataframework.org/event/ebdf-members-exclusive-enterprise-big-data-analyst-sample-exam-papers-walkthrough/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/08/YT-Webinar-Thumbnail-2.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20231027T100000
DTEND;TZID=Europe/Amsterdam:20231027T110000
DTSTAMP:20260730T183304
CREATED:20230222T081554Z
LAST-MODIFIED:20231020T050621Z
UID:20893-1698400800-1698404400@www.bigdataframework.org
SUMMARY:Data Ingestion: Reading and Importing Online Data Sets
DESCRIPTION:Webinar Description \nThere are many interesting and beneficial data sets that is constantly being refreshed and made available on the internet. \n  \nIt would be not efficient to constantly download the latest data to obtain the latest information. \n  \nIn this webinar\, Jan Willem will discuss a number of techniques and examples of how to connect to data that is available through the internet and share how to automatically source and download XML and JSON files \nSpeaker \nJan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. \nRegister Here
URL:https://www.bigdataframework.org/event/data-ingestion-reading-and-importing-online-data-sets/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/02/11.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230914T110000
DTEND;TZID=Europe/Amsterdam:20230914T120000
DTSTAMP:20260730T183304
CREATED:20230810T085539Z
LAST-MODIFIED:20230815T074838Z
UID:21313-1694689200-1694692800@www.bigdataframework.org
SUMMARY:EBDF Members Exclusive: Enterprise Big Data Professional Sample Exam Papers Walkthrough
DESCRIPTION:This exclusive webinar is tailored to those preparing for the EBDF Professional exam certification. Jan Willem Middelburg will guide you through the EBDF Professional Exam Papers\, equipping you with the knowledge and insights needed for success. A unique opportunity to enhance your readiness for the certification. \n  \nWebinar Details \nDate:  14 September 2023\, Thursday\nTime: 11:00 AM – 12:00 PM CEST \n  \nRegister Here
URL:https://www.bigdataframework.org/event/ebdf-members-exclusive-enterprise-big-data-professional-sample-exam-papers-walkthrough/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/08/YT-Webinar-Thumbnail.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230817T090000
DTEND;TZID=Europe/Amsterdam:20230817T100000
DTSTAMP:20260730T183304
CREATED:20230222T082032Z
LAST-MODIFIED:20230222T083709Z
UID:20895-1692262800-1692266400@www.bigdataframework.org
SUMMARY:Data Inspection: A Step-by-Step Guide in Reviewing Your Data
DESCRIPTION:Webinar Description \nMost data sets contain data that is duplicate\, erroneous or even plain missing. Frequently\, data sets have been built up over many years\, during which time fields in databases have changed\, were renamed\, or simply ignored. \nTo determine the quality of the data set\, a data analyst would be required to go through the process of data inspection to obtain a “Tidy Data”. \nIn this webinar\, Jan Willem will use real-life data set samples and introduce the 3 step best practice in conducting a data inspection. \nSpeaker \nJan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. \nRegister Here
URL:https://www.bigdataframework.org/event/data-inspection-a-step-by-step-guide-in-reviewing-your-data/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/02/12.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230316T090000
DTEND;TZID=Europe/Amsterdam:20230316T100000
DTSTAMP:20260730T183304
CREATED:20230222T054757Z
LAST-MODIFIED:20230222T081311Z
UID:20879-1678957200-1678960800@www.bigdataframework.org
SUMMARY:Understanding Business Objectives in Analysing Data
DESCRIPTION:Webinar Description \nIn any analytics project\, most analyst spends more time thinking about the data and the model \ndesign than processing data queries. \n  \nHowever\, most analysts skip the fundamental process of understanding the business objectives and asking the right questions to apply the right analysis techniques in solving business problems. \n  \nIn this webinar\, Jan Willem will deep dive into the 6 business objective types to help data analysts ask the right questions in solving a problem and implementing the right analysis techniques based on the business objectives. \nSpeaker \nJan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. \nRegister here
URL:https://www.bigdataframework.org/event/understanding-business-objectives-in-analysing-data/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/02/Website-Event-Featured-Images-714-x-500-8.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230216T090000
DTEND;TZID=Europe/Amsterdam:20230216T100000
DTSTAMP:20260730T183304
CREATED:20230131T052127Z
LAST-MODIFIED:20230209T133556Z
UID:20602-1676538000-1676541600@www.bigdataframework.org
SUMMARY:ATO Partner Meetup on February 16\, 2023
DESCRIPTION:On 16 February 2023\, EBDFA will organize the next Accredited Training Organization (ATO) Partner Meetup. The ATO Partner Meetup Session would be an opportunity for partners to learn about the benefits of being a partner and the plans for 2023. The session would provide an overview of the key benefits that partners can expect to receive\, including access to exclusive resources\, training\, and support. The session would also provide an overview of the plans for 2023\, including new initiatives and programs that are being developed to support partners and help them grow their businesses. \nKey topics that we will discuss are: \n\nEBDFA Sales Kit (EBDFA Brochure)\nEnterprise Big Data Scientist course update\nNew EBDFA free standing short courses\nEBDFA Membership Program\n2023 EBDFA Webinar Series\nEBDFA Train The Trainers Program\n\nAdditionally\, the session would provide an opportunity for partners to network with each other\, share their experiences and best practices\, and ask questions of the organization’s representatives. The session would be led by experienced professionals who have extensive knowledge of the partner program and the plans for 2023\, and would provide valuable insights and guidance to partners. \nOverall\, the Partner Information Session would be an excellent opportunity for partners to learn more about the partner program and the plans for 2023\, and to connect with other partners and the organization’s representatives. The session would provide valuable insights\, guidance\, and support to partners\, and help them grow their businesses and achieve their goals. \nThe ATO Partner Meetup is open to existing ATOs and prospective new partners who are interested in joining the partner program.
URL:https://www.bigdataframework.org/event/ato-partner-meetup-on-february-16-2023/
LOCATION:Virtual
CATEGORIES:Partner Conference,Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2023/02/Website-Event-Featured-Images-714-x-500-6.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230119T090000
DTEND;TZID=Europe/Amsterdam:20230119T100000
DTSTAMP:20260730T183304
CREATED:20221213T025017Z
LAST-MODIFIED:20240726T075226Z
UID:19982-1674118800-1674122400@www.bigdataframework.org
SUMMARY:The Enterprise Big Data 3 Main Sub-Processes
DESCRIPTION:Description \nTo avoid the potential pitfalls that Big Data brings\, processes can help enterprises to focus their direction. Processes bring structure\, measurable steps and can be effectively managed on a day-to-day basis. \nSetting up Big Data processes in the enterprise might be a time-consuming task at first but provides the benefits in the long run. \nThe session will discuss how Big Data processes can provide structure in the analysis of data as well as the big data three main sub-processes. \n  \nSpeaker \nRichard van Dijk\, Business Process Delivery Manager at Accenture \n  \nAbout Accenture \nAccenture is a global professional services company with leading capabilities in digital\, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries\, they offer Strategy and Consulting\, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Accenture’s 710\,000 people deliver on the promise of technology and human ingenuity every day\, serving clients in more than 120 countries. Accenture embraces the power of change to create value and shared success for our clients\, people\, shareholders\, partners and communities. Visit them at https://www.accenture.com \n  \nRegister Here
URL:https://www.bigdataframework.org/event/the-enterprise-big-data-3-main-sub-processes/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2022/12/Website-Event-Featured-Images-714-x-500.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20221024T110000
DTEND;TZID=Europe/Amsterdam:20221024T120000
DTSTAMP:20260730T183304
CREATED:20220812T072139Z
LAST-MODIFIED:20240726T075232Z
UID:19079-1666609200-1666612800@www.bigdataframework.org
SUMMARY:Designing a Big Data Organisation
DESCRIPTION:Embedding Big Data in Enterprises is as much about change management as it is about Big Data. \nThe design of a Big Data organization (digital transformation) therefore needs to be user led and have participation from all levels in the enterprise from the start. Organizational culture\, organizational structures\, and job roles have a large impact on the success of Big Data initiatives. \nThe session will review some ‘best practices’ on how to establish a data-driven organization. \n  \nSpeaker: \nSean Low\, Senior consultant at Quint \nSean has over 20 years of experience in service management\, ranging from service delivery consultant to service delivery manager in various local and international companies worldwide. With his deep knowledge and experience in Service Management\, Project management\, IT Strategy & Governance\, Lean-Agile transformation\, and Big Data enterprise strategy\, Sean has a very good track record in consulting\, project and process assessment\, and improvement in numerous multinationals and small businesses. Sean has trained organizations on Enterprise Big Data Professional for over 5 years. \nAbout Quint \nQuint is an international consultancy\, training\, and technology company. We support organizations in designing and implementing their digital transformation. To this end\, we accelerate and embed transformations by connecting people\, processes\, technology\, and leadership to one another. Quint’s key focus areas are Digital Strategy\, Customer Service Management\, Lean-Agile Enterprise\, Enterprise DevOps\, Enterprise Cloud\, Sourcing Advisory\, and IT Governance. For more information: www.quintgroup.com. \n  \nRegister for this webinar\n 
URL:https://www.bigdataframework.org/event/webinar-designing-a-big-data-organisation/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2022/08/3.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20221012T120000
DTEND;TZID=Europe/Amsterdam:20221012T130000
DTSTAMP:20260730T183304
CREATED:20220812T071257Z
LAST-MODIFIED:20240726T075237Z
UID:19076-1665576000-1665579600@www.bigdataframework.org
SUMMARY:Common Algorithms in Big Data Analysis and Analytics Solutions
DESCRIPTION:Algorithms can perform calculation\, data processing and automated reasoning tasks. By applying algorithms to large volumes of data\, valuable knowledge and insights can be obtained. \nThe application of algorithms\, and its subsequent use for Big Data\, is grounded in the scientific domain of statistics. \nThe session will discuss essential statistical operations and provide common algorithms that are used in Big Data analysis and analytics solutions. \nSpeaker \nDr. Ibrahim Kebbe \nDr. Ibrahim has over 25 years of experience and accumulated more than two decades of academic development & corporate training in the Construction\, Healthcare\, Oil & Gas\, Manufacturing\, Telecom\, and Education. A full Professor and prolific researcher in the areas of Management Science\, Business Analytics and Artificial Intelligence. He instructs a large spectrum of academic/corporate material covering the former areas plus Research Methods\, Big Data & Analytics\, Operations Research\, Operations Management\, Numerical Analysis and Risk Management. He is also a Risk & Project Management Consultant and Management Sciences and Metaheuristics Consultant/Researcher. \nAbout ADVISORS \nADVISORS is a professional service provider for capacity building\, consulting\, digitalization\, networking & conferencing\, and outsourcing services. \n\nWe believe in crafting and sharing authentic knowledge that makes our organizations better\nWe take joy in networking our partners with the thought-leaders of our domain\nWe feel pride in enhancing our partners’ lives through Strategy\, Consulting and Education\nWe do this with Integrity and Professionalism; yesterday\, today and tomorrow\nWe have No Clients; Only Partners\n\nRegister for this webinar
URL:https://www.bigdataframework.org/event/webinar-common-algorithms-in-big-data-analysis-and-analytics-solutions/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2022/08/2-1.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220922T170000
DTEND;TZID=Europe/Amsterdam:20220922T180000
DTSTAMP:20260730T183304
CREATED:20220812T070611Z
LAST-MODIFIED:20240726T075242Z
UID:19074-1663866000-1663869600@www.bigdataframework.org
SUMMARY:Ground Breaking Automated Data Metrics & Reusable Technical Data Governance Pipeline Design
DESCRIPTION:In this webinar\, you will learn how to create and automate data metrics by simple and practical tagging & tracking of your data. With the volume of data growing rapidly\, these skills are essential for managing real-time data and delivering meaningful insights. \nWe will discuss how to: \n• Implement a reusable technical data governance framework where you can monitor and measure your historical\, real-time and scheduled data.\n• Use easy-to-understand data pipeline design and architectures.\n• Connect your data to your business processes enabling data-driven measurement that can scale.\n• Turn these metrics into board level KPIs in a way that not only Technical people can understand.\n• Give the active management of your data to business users. \nSpeaker \nGary Cronin\, Director of Data Architecture\, Analytics & AI at QA is a highly experienced IT and Data professional with a mix of business\, strategy and technical skills developed over a 21-year career that has focused on Data Strategy\, Data Architecture\, Business Intelligence and Data Analytics areas. \nHe has worked with a range of database\, BI\, modelling and analytics toolsets and platforms and have been involved in tool and platform evaluation and selection. \nGary has also provided consulting Data advice to start-ups on all things Data. \nAbout QA \nQA: A World-Leading Tech & Digital Skills Organisation \nQA help many of the world’s leading companies to build their tech and digital capabilities via the leading range of training courses\, reskilling bootcamps\, and work-based learning programmes & apprenticeships. QA also create bespoke solutions\, blending elements to meet specific client needs. \n  \n  \nRegister for this webinar
URL:https://www.bigdataframework.org/event/ground-breaking-automated-data-metrics-and-reusable-technical-data-governance-pipeline-design/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2022/08/Big-Data-Webinar-Event-Featured-Images-714-x-500.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220606T150000
DTEND;TZID=Europe/Amsterdam:20220606T160000
DTSTAMP:20260730T183304
CREATED:20220519T021938Z
LAST-MODIFIED:20220602T060913Z
UID:18122-1654527600-1654531200@www.bigdataframework.org
SUMMARY:Webinar: Formulating a Big Data Strategy
DESCRIPTION:A comprehensive enterprise-wide Big Data strategy can provide enterprises with a significant competitive advantage in the marketplace. \nAn effective Big Data strategy means a business strategy that includes Big Data. A well-defined and comprehensive Big Data strategy makes the benefits of Big Data actionable for the organization. It sets out the steps that an organization should execute to become a “Data Driven Enterprise”. \nThis session will discuss a 5-step approach that organizations need to follow to formulate their Big Data Strategy. \nRegister for this webinar
URL:https://www.bigdataframework.org/event/webinar-formulating-a-big-data-strategy/
CATEGORIES:Webinar
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220310T030000
DTEND;TZID=Europe/Amsterdam:20220310T040000
DTSTAMP:20260730T183304
CREATED:20220301T060100Z
LAST-MODIFIED:20220301T060736Z
UID:16717-1646881200-1646884800@www.bigdataframework.org
SUMMARY:The K-Nearest Neighbour Classification Algorithm Explained
DESCRIPTION:Big Data Algorithms: The K-Nearest Neighbour Classification Algorithm Explained\n\nFree Webinar | Thursday\, March 10th\, 2022 | 10:00 AM Singapore\n  \n\n\nWebinar Description \nThe K-Nearest Neighbour classification algorithm (abbreviated to k-NN) is one the most basic and frequently used algorithms for classification purposes. The k-NN classifier is used in databases in which variables (the columns) indicate specific target conditions\, so that a new data point can be classified as one of these target classes. \nk-NN is a non-parametric algorithm\, which means that the classifier does not make any assumptions on the underlying data distribution or database. More simply stated\, the model structure is determined by the underlying data\, which ensures that the k-NN algorithm can be used in a wide variety of situations. \nThe k-NN algorithm looks at the k number of nearest neighbours (whereby k is specified by the user) and classifies the new data point according to the neighbours that are closest to that data point. To calculate which data point is “nearest\,” the k-NN algorithm calculates the distance from the new data point to the other data points and selects the smallest distance to other data points. \n\n\n\nLearn the Algorithm \n\n\nThe Big Data Algorithm webinars consist of two main components. In the first section of this webinar\, you will learn the fundamental theory of the K-Nearest Neighbour classification algorithms. We will take a closer look at the inner workings of the algorithm\, and the mathematical rules which the K-Nearest Neighbour classifier is following to achieve its predictions. \nThe second part of the webinar will be a practical showcase\, that will show how the algorithm works in practice. To showcase how the K-Nearest Neighbour classification algorithm works\, we will make use of standardized Python or R scripts to show you how to build a classifier by yourself. All data\, scripts and examples will be provided to the participants who sign up for this webinar. \n\n\n\nYour Instructor \n\n\nThis webinar will be hosted by Mr. Jan-Willem Middelburg\, the author of the Enterprise Big Data Framework publications. Jan-Willem has over a decade of experience in Big Data\, Machine Learning and AI algorithms design and applications. \nA pioneer and advocate for professionalization in Automation and Big Data\, he is a frequent keynote speaker and moderator at universities and technology conferences around the world. Jan-Willem holds a Bachelor’s degree in Industrial Engineering\, a Master’s in Supply Chain Management from the Rotterdam School of Management\, and is currently pursuing a second Master’s degree in Computer and Information Technology at the University of Pennsylvania. \n\n\n\nRegistration \n 
URL:https://www.bigdataframework.org/event/big-data-algorithms-the-k-nearest-neighbour-classification-algorithm-explained/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2022/03/blog-post-1920-×-1080-px-3.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210610T100000
DTEND;TZID=Europe/Amsterdam:20210610T110000
DTSTAMP:20260730T183304
CREATED:20210514T054605Z
LAST-MODIFIED:20210514T054605Z
UID:13971-1623319200-1623322800@www.bigdataframework.org
SUMMARY:Webinar: Big Data Algorithms in the Enterprise
DESCRIPTION:Free Webinar: Thursday June 10th\, 2021 | 09:00 AM London | 16:00 PM Singapore\nMachine learning continues to be a topic at the top of the agenda for enterprise organizations looking to get more accuracy from their analytic models. The machine learning field is a quite vast and is expanding quickly. It continually partitions into subcategories and different types of machine learning. ML is an important aspect of modern business and research. By using algorithms and neural network models\, it can assist computer programs in progressively improving their performance with minimal human intervention. \nIn this this webinar\, Jan-Willem Middelburg – author of the Enterprise Big Data Framework –  delves into the world of machine learning and provides an overview of machine learning\, as well as key business applications of this technique\, including fraud detection\, model factories and recommendation systems. \nIn this webinar you’ll will gain a better understanding of the following topics: \n\nWhat is machine learning?\nThe power of machine learning\nThe different forms of data\nWhat is a model?\nDifference between supervised and unsupervised learning\nDifferent types of supervised and unsupervised learning tasks\nDifference between parametric and non-parametric models\nThe Enterprise Big Data Framework and Machine Learning\n\nDon’t miss this chance to learn more about Machine Learning algorithms\, and join the webinar free of charge. \nRegistration\nYou can join this webinar by completing the following form below:
URL:https://www.bigdataframework.org/event/webinar-big-data-algorithms-in-the-enterprise/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2021/05/Overview-of-Machine-Learning-Algorithms-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210330T100000
DTEND;TZID=Europe/Amsterdam:20210330T110000
DTSTAMP:20260730T183304
CREATED:20210315T083658Z
LAST-MODIFIED:20210324T084500Z
UID:13849-1617098400-1617102000@www.bigdataframework.org
SUMMARY:Enterprise Big Data Analyst Trainer Briefing
DESCRIPTION:Introduction\nThe Enterprise Big Data certification scheme has been growing rapidly across the world\, providing thought leadership and certification to Big Data professionals across the world. With more than 25 Accredited Training Organizations (ATOs) and corresponding number of certified trainers in different parts of the world\, demand for knowledge in data analysis best practices has been quickly increasing. And for that reason\, we are aiming to expand the Big Data Analyst Trainer network. \nIn May 2020\, the second level of the Enterprise Big Data certification scheme was launched – the Enterprise Big Data Analyst level. The Enterprise Big Data Analyst focuses on obtaining in-depth knowledge about data analysis techniques in order to retrieve value from data. Besides the best practices in designing and executing a data analysis process\, the Enterprise Big Data Analyst certification teaches participants the most fundamental data analysis and machine learning algorithms. In the EBDA course\, participants will learn about Classification\, Clustering and Outlier detection algorithms in the popular programming languages R and Python. Participants will need to learn how the algorithm works and apply it to a practical situation in the enterprise. \nCall for Enterprise Big Data Analyst Trainers\nBecause of the rapid growth of the framework\, the Enterprise Big Data Framework Alliance is looking to grow its network of accredited Big Enterprise Data Analyst trainers. We therefore organizing a Big Data Analyst Trainer Briefing Session on March 3oth\, 20121. During this briefing session\, we will explain the structure of the course\, and how you can use the online resources to successfully teach students the Enterprise Big Data Analyst program. \nParticipants to the Big Data Analyst Trainer Briefing will receive the following: \n\nFree Enterprise Big Data Analyst Trainer Self-Study Kit\n\nParticipation to this Big Data Analyst Trainer Briefing session is limited to 25 registrations. \nTarget Audience for the Enterprise Big Data Analyst Trainer Briefing session\nDuring the session\, we will provide an in-depth review of the course materials of the Enterprise Big Data Analyst Level. \nThis briefing session is therefore most beneficial for: \n\nParticipants who aspire to be trainers for the Enterprise Big Data Framework\nParticipants who have completed the Enterprise Big Data Professional certification.\n\nRegistration \nPlease use this link to register for this Big Data Analyst Trainer session:
URL:https://www.bigdataframework.org/event/enterprise-big-data-analyst-trainer-briefing/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.bigdataframework.org/wp-content/uploads/2021/03/big-data-analyst-trainer-briefing-session-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210225T100000
DTEND;TZID=Europe/Amsterdam:20210225T110000
DTSTAMP:20260730T183304
CREATED:20210210T121818Z
LAST-MODIFIED:20210210T121818Z
UID:13729-1614247200-1614250800@www.bigdataframework.org
SUMMARY:Free Webinar - An Introduction to Clustering Algorithms
DESCRIPTION:Webinar Description\nClustering algorithms are widely used in the analysis of Enterprise Big Data sets. They are applied for customer segmentation\, targeted marketing and inventory mapping. In order to cluster data\, algorithms will determine similarities (or dissimilarities) between individual observations. In this webinar\, we will provide an introductory overview of common clustering algorithms and the way they are used in practice. \nClustering is the process of putting similar data into groups. A clustering algorithm partitions the observations in a data set into several groups in such a way that the similarity (in terms of variables) within a group is larger than between the different groups. Finding these partitions of data sets can have significant value for Enterprise organizations by enhancing their decision-making process. \nThere are a variety of different clustering techniques and corresponding algorithms. In this introductory webinar about clustering algorithms\, we will consider some of the most popular examples. Most notably\, we will consider the K-Means algorithm and Hierarchical clustering. We will discuss the (mathematical) process and underlying theory of these clustering algorithms\, and subsequently illustrate them in the R or Python languages. \nThis webinar will provide you with an introductory overview if clustering algorithms\, explained by Jan-Willem Middelburg\, the lead author of the Enterprise Big Data Framework. Even if you don’t have any background in data analysis or data science\, you will be able to participate in this webinar. All the examples have been prepared online\, so you can practice with the materials during and after the webinar. Additionally\, all registered participants will receive access to the webinar presentation and relevant data analysis files. \nDon’t miss this chance to learn more about clustering algorithms\, and register through the form below. \nRegistration\n[wpforms id=”13726″]
URL:https://www.bigdataframework.org/event/free-webinar-an-introduction-to-clustering-algorithms/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.bigdataframework.org/wp-content/uploads/2021/02/webinar-clustering-algorithms-scaled.jpg
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20201210T100000
DTEND;TZID=Europe/Amsterdam:20201210T110000
DTSTAMP:20260730T183304
CREATED:20200423T054048Z
LAST-MODIFIED:20201020T062506Z
UID:13403-1607594400-1607598000@www.bigdataframework.org
SUMMARY:Deep Dive in Classification Algorithms – Big Data Analysis
DESCRIPTION:Classification techniques are widely used in enterprise organizations. From the limit of your credit card\, to your mortgage amount\, as well as the things you see online on your timeline on social media. You might not fully realize it (yet)\, but all these aspects are determined by classification algorithms. Classification algorithm determine\, for a large extent\, the content we see\, the information that is presented to us\, and the decisions we make. But have you ever wondered how these classification algorithms work? \nIn this webinar\, we will present you with a fundamental understanding of classification algorithms. We will discuss how they work\, which parameters you need\, and what the differences are between different classification algorithms. In the second part of the webinar\, we will discuss one of the most widely used (in terms of application) classification algorithms: the K-Nearest Neighbour Classification (k-NN) algorithm. We will showcase how it works\, how it helps solve problem\, and provide a demonstration in R. After this webinar\, you will have the fundamental knowledge to start building classification algorithms by yourself.
URL:https://www.bigdataframework.org/event/deep-dive-in-classification-algorithms-big-data-analysis/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20200918T110000
DTEND;TZID=Europe/Amsterdam:20200918T120000
DTSTAMP:20260730T183304
CREATED:20200423T053916Z
LAST-MODIFIED:20200423T053916Z
UID:13401-1600426800-1600430400@www.bigdataframework.org
SUMMARY:Technical Aspects of Big Data – Becoming Familiar with Big Data Tools
DESCRIPTION:In order to effectively analyse large quantities of data\, you will need to use some tools and techniques that are common in the data science profession. In this webinar\, we will provide you with an overview of the coding languages (R and Python)\, development frameworks (most notably Hadoop) and storage mechanisms (NoSQL) that are commonly used in Big Data\, and of which every Big Data Professional should have a basic understanding. \nThis webinar is primarily intended for delegates who aspire a career in data analysis and data science\, and are looking for some practical guidance on where to start. Which technologies and languages are useful to learn\, and what are some good ways to get started on your journey. In this webinar\, Jan-Willem Middelburg\, author of the Enterprise Big Data Framework\, will share his experience in becoming a data scientist\, and the steps he took to master the profession
URL:https://www.bigdataframework.org/event/technical-aspects-of-big-data-becoming-familiar-with-big-data-tools/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20200521T110000
DTEND;TZID=Europe/Amsterdam:20200521T120000
DTSTAMP:20260730T183304
CREATED:20200423T052915Z
LAST-MODIFIED:20200423T052946Z
UID:13396-1590058800-1590062400@www.bigdataframework.org
SUMMARY:Understanding Big Data Analysis – Learn the Big Data Analysis Process
DESCRIPTION:In this webinar\, we will guide you through the steps and phases that you will need to perform when executing Big Data analysis. If you aim to analyse data in a consistent\, reproducible manner\, following a structured approach an process is crucial for success. Because\, in the end\, it is important that other stakeholders understand the required steps that lead to a result. \nWe will present this webinar based on the Enterprise Big Data Analyst process model. We will start with understanding the business objective\, and how data can be ingested through databases\, common data structure or the web. We will subsequently discuss data cleaning and data wrangling techniques\, before we move to model building. In the final part of this webinar\, we will discuss the presentation of reproducible research\, and how you can present data in an effective and understandable way.
URL:https://www.bigdataframework.org/event/understanding-big-data-analysis-learn-the-big-data-analysis-process/
CATEGORIES:Webinar
END:VEVENT
END:VCALENDAR