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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20231027T100000
DTEND;TZID=Europe/Amsterdam:20231027T110000
DTSTAMP:20260730T164642
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:20260730T164642
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:20260730T164642
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:20260730T164643
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:20260730T164643
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:20260730T164643
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:20260730T164643
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:20260730T164643
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:20260730T164643
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:20260730T164643
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:20220524T090000
DTEND;TZID=Europe/Amsterdam:20220525T173000
DTSTAMP:20260730T164643
CREATED:20220308T002250Z
LAST-MODIFIED:20220308T002250Z
UID:17380-1653382800-1653499800@www.bigdataframework.org
SUMMARY:International Conference: Big Data Days 2022
DESCRIPTION:International Conference: Big Data Days 2022\, organized by the Enterprise Big Data Framework Alliance (EBDFA)\n\nVirtual Conference | May 24th – 25th\, 2022 | 09:00 AM (CEST)\n  \nEvent Description \nThe Enterprise Big Data Framework Alliance (EBDFA) is running its third Big Data international virtual conference that will be hosted from May 24 to 25\, 2022. Due to the global developments with regards to the COVID pandemic\, this year’s edition will again be presented virtually. The Big Data Data Days 2022 will feature international Big Data and Analytics experts and professionals with the aim of providing opportunities to network\, knowledge sharing and fostering Big Data and Enterprise AI ecosystem development. \nBig Data Days 2022 aims at bringing together the research and innovation community working on Data\, Machine Learning (ML) and Enterprise Artificial Intelligence (AI)\, promoting opportunities for this community to grow. In 2022’s edition\, the event will highlight thought leadership on Big Data best practices in the Enterprise\, explore innovative ML and AI case studies\, and next-gen Big Data technology\, allowing professionals to share their expertise in the domain that provides visibility to a larger number of international initiatives and projects throughout the field. \nThe Big Data Days 2022 is organised by the Enterprise Big Data Framework Alliance\, in collaboration with industry and Academic Partners throughout the region. It is held online and is free of charge. \n  \nRegistration \nSecure your complimentary pass and mark your calendar down!
URL:https://www.bigdataframework.org/event/international-conference-big-data-days-2022/
LOCATION:Virtual
ATTACH;FMTTYPE=image/png:https://www.bigdataframework.org/wp-content/uploads/2022/02/BDD-2022-900-×-600-px.png
ORGANIZER;CN="Enterprise Big Data Framework":MAILTO:info@bigdataframework.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220313T080000
DTEND;TZID=Europe/Amsterdam:20220314T160000
DTSTAMP:20260730T164643
CREATED:20220228T141741Z
LAST-MODIFIED:20220228T141856Z
UID:17232-1647158400-1647273600@www.bigdataframework.org
SUMMARY:Egypt Vision 2030 Enablement Conference
DESCRIPTION:The Enterprise Big Data Framework Alliance has partnered with Advisors to support the Egypt Vision 2030 Enablement Conference. Egypt Vision 2030 is based on the principles of “Comprehensive Sustainable Development” and “Balanced Regional Development”. Enabling Leaders from public\, private\, and social organizations to realize sustainable benefits that lead to Vision 2030. The conference highlights the most trending Strategy Implementation & Digital Transformation frameworks and competencies. \n\n\nMasterclass 2: Enterprise Big Data Framework\n\n\nMasterclass Brief: \nBig Data and the use of corresponding Big Data technologies have quickly risen in popularity in recent years and many organizations have set up dedicated data analysis or Big Data function in the organization. In this masterclass\, we will discuss how organizations can use Big Data technologies and techniques to spot patterns in large quantities of enterprise data and how these patterns can be used to increase overall performance. \nLearning Objectives: \n\nComprehend the advantages and details of the new digital strategy.\nAbsorb the details of the Enterprise Big Data Framework.\nReflect the Framework on HR roles.\nIntegrate Big Data processes into the digital initiative that would add more traction to business.\nUnderstand Big Data tools & techniques underlying roles & processes.
URL:https://www.bigdataframework.org/event/egypt-vision-2030-enablement-conference/
LOCATION:InterContinental Cairo Semiramis\, Kamal El Din Hussein St\, Cairo\, Egypt
CATEGORIES:Partner Conference
ATTACH;FMTTYPE=image/jpeg:https://www.bigdataframework.org/wp-content/uploads/2022/02/Middleburg-and-Kebbe.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220310T030000
DTEND;TZID=Europe/Amsterdam:20220310T040000
DTSTAMP:20260730T164643
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;VALUE=DATE:20210912
DTEND;VALUE=DATE:20210916
DTSTAMP:20260730T164643
CREATED:20210514T045729Z
LAST-MODIFIED:20210816T023852Z
UID:13963-1631469600-1631728799@www.bigdataframework.org
SUMMARY:Enterprise Big Data Week APAC | 13-15 September 2021
DESCRIPTION:This year’s Enterprise Big Data Week APAC will be hosted from September 13 to 15\, 2021. Due to the global developments with regards to the COVID pandemic\, this year’s edition will again be presented as a virtual conference. The Enterprise Big Data Week APAC is the fall gathering of Big Data professionals\, providing an opportunity to gather new knowledge\, and network with fellow colleagues in the Asia-Pacific Region in the domain of Big Data\, Data Science and Analytics. \nThis year\, the Enterprise Big Data Week APAC will be held online from Monday 13 – Wednesday 15 September 2021. The event follows the same format as the previous Enterprise Big Data Weeks\, promoting opportunities\, knowledge sharing and fostering Big Data and Enterprise AI ecosystem development. The 2021 edition of the Enterprise Data Week APAC aims at bringing together the research and innovation community working on Data\, Big Data and Enterprise AI\, promoting opportunities for this community to grow. \n\n\nThe event will highlight innovation possibilities of Big Data solution in the Enterprise and gives visibility to a large number of APAC initiatives and projects throughout the field. The Enterprise Big Data Week APAC is organized by the Enterprise Big Data Framework Alliance\, in collaboration with industry and Academic Partners throughout the Region. \nThe Enterprise Big Data week APAC is held online and is free of charge. \nCall for Enterprise Big Data Week Speakers\nThe Enterprise Big Data Week APAC will focus on Industry Best practices and applications of Big Data within the APAC Region. Within two weeks of this press release\, a formal call for speakers will be announced. If you would like to present during the Enterprise Big Data Week APAC\, you can already register your interest by emailing us at info@bigdataframework.org. \n\nDon’t forget to subscribe below to stay up to date with our latest news on this Event!\nRegister your participation and you will receive the updates and receive free resources (including white papers!). \n[wpforms id=”14488″ title=”false”]
URL:https://www.bigdataframework.org/event/enterprise-big-data-week-apac-13-15-september-2021/
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:20260730T164643
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210330T100000
DTEND;TZID=Europe/Amsterdam:20210330T110000
DTSTAMP:20260730T164643
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210225T100000
DTEND;TZID=Europe/Amsterdam:20210225T110000
DTSTAMP:20260730T164643
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20201210T100000
DTEND;TZID=Europe/Amsterdam:20201210T110000
DTSTAMP:20260730T164643
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20200918T110000
DTEND;TZID=Europe/Amsterdam:20200918T120000
DTSTAMP:20260730T164643
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:20260730T164643
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
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