The speed with which data is being created has never been as great as in the 21st century. All experts agree that 98% of data was created in the 21st century, and that roughly 80% of that data has never been analysed at all. All this data contains a wealth of information that could lead to a brighter, more sustainable future. However, in order to retrieve value from these enormous data sets, we will need to have many qualified data analysts, data scientists and data professionals. People who, when confronted with a problem, can use a variety of different approaches and techniques to solve a problem. People who have a fundamental understanding of data structures and algorithms. And, above all else, people who are able to think creatively and help solve the world’s most pressing problems.

The very nature of data – and the beauty of it – is that it is universal and factual. Data created in China can be analysed with the same approaches, techniques and tools as data that was created in Brazil, or any other part of the world. No matter in which industry data was created, data problems are similar. Classification algorithms can be used to predict credit card fraud in the finance industry. Yet these same classification algorithms can be used to find diseases in photographs in medical domains. Yet in order to understand this, you will require knowledge about classification algorithms in the first place.

And this is exactly why the Enterprise Big Data Framework was created. With the Big Data Framework, we aim to bring a structured approach to enterprise organizations in order to obtain value from massive quantities of data. We found that – although there are many good programs available around the world – these programs are mainly vendor driven or rooted strongly in the academic domain. The enterprise domain, however, is different. In enterprise organizations, the return on investment matters. Enterprises cannot be dependent on single individuals, and they need to comply to local rules and regulations. In order to systematically retrieve value from data, we need structure. We need an Enterprise Big Data Framework.

The Enterprise Big Data Frameworks was created by Big Data Professionals for Big Data Professionals. We aspire to make knowledge about Big Data practices and Data Science solutions available to everyone in the world. This is why most of the materials to get started are provided for free. Everyone who has helped put the Enterprise Big Data Framework together believes in this important mission.

Together with APMG-International, we have created the Enterprise Big Data certification scheme, that provides a fast track for anyone who wants to learn more about Big Data and Data Science techniques. In creating this certification scheme, we hope to inspire corporations and individual to start analysing data. To open pandora’s box and make better decisions towards the future.

The Framework

Learn more about the Enterprise Big Data Framework

Big Data Roles and Specialisations

Big Data and Data Science has specialised in the last couple of years in a number of distinct roles. These roles provide consistency and a form of specialisation which is universally accepted in job descriptions and team composition. The Enterprise Big Data Framework has adopted this role-based approach, which provides learning paths for everyone that aims to learn more about Data Science and Big Data.

The following are the 5 most important specialisations that have emerged over the last few years:

The EBDP certification provides delegates with a strong foundation of the fundamental concepts and theories of Big Data. The curriculum of this course focuses on the six core modules of the Big Data Framework and discusses fundamental theories in statistics and machine learning. This certification is a pre-requisite for all of the other courses.

The EBDA certification is aimed at Data Analyst and provides in-depth theory and practical guidance to deduce value out of Big Data sets. The curriculum segments between different kinds of Big Data problems and its corresponding solutions. This course will teach participants how to autonomously find valuable insights in large data sets in order to realize business benefits.

The EBDS certification is aimed at Data Scientist and offers advanced guidance on the design and development of core algorithms that are used in Big Data and machine learning. The course discusses different types of algorithms and how data scientists can apply them to solve enterprise problems.

The EBDE certification is aimed at everyone that is involved with designing and maintaining the underlying IT infrastructure of Big Data environment. This course takes an in-depth look at the required infrastructure and applications that are necessary to operate an effective Big Data operation. The course will discuss Big Data architecture, storage and processing considerations and mechanisms.