Definition of Data Science 

What does is it mean and how is it used

What is Data Science? 

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, like data mining. Put simply, it’s a way to make sense of all your data.

Why use Data Science?

Whatever your goals within your organization, chances are it will require doing more with your data. So along with a powerful in-memory database and clear data strategy, having data scientists to help you get the most value from your analytics will be of huge benefit to you.

Latest Data Science Insights

7 books that every software developer should read

There is always something new to learn in software development. Our technical expert has put together a reading list for all enthusiastic developers.

See the must-read books >

Data Science Use Case

Being able to predict future trends and needs with precision is key to success. So how can you solve the complex analytic challenges that are coming along with it? And how can you save money on your analytics tools?

Read more on Data Science >

Big Data Science White Paper

Big data science is revolutionizing the way businesses create value from data. The ability to do high-performance in-database programming is the fundamental building block of big data science applications.

Read more on big data science >

Interested in learning more?

Whether you’re looking for more information about our fast, in-memory database, or to discover our latest insights, case studies, video content and blogs and to help guide you into the future of data.