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.