Big data services: What 82% of businesses are looking to do with them

The latest white papers, case studies and product information

Business Technology Research     October 22, 2018

IN THIS ISSUE Big data services: What 82% of businesses are looking to do with them 30-page guide: Data lake to data centric with metadata & governance 10 tips from users of IBM SPSS Modeler Why data is pulling analytics to the cloud Data modeling blueprint: 5 pillars for success

Big data services: What 82% of businesses are looking to do with them SPONSORED BY: AtScale In this webcast, discover 6 key considerations for your business to ensure that optimizing your data warehouse with a big data service is the right move. Read More

30-page guide: Data lake to data centric with metadata & governance SPONSORED BY: IBM This 30-page guide lays out an approach to data lakes for open metadata and governance, to help with the transformation into a data centric organization. Discover steps to make this transformation a reality. Read More

10 tips from users of IBM SPSS Modeler SPONSORED BY: IBM Data science and machine learning provide the basis for business growth, cost and risk reduction. IBM SPSS is a data science tool that many people use for all of those purposes. Read this white paper for 10 tips on how to use IBM SPSS Modeler effectively within your organization. Read More

Why data is pulling analytics to the cloud SPONSORED BY: Tableau Software Explore the emerging concept of "data gravity" and learn how it's shaping the future of enterprise data in the cloud. Find out how cloud strategies are impacting data management, and learn about the growth of hybrid data analytics. Read More

Data modeling blueprint: 5 pillars for success SPONSORED BY: Domino Data Lab Data models are at the core of data science, yet MIT Sloan has found that only 5% of companies are extensively using models in their business. In this white paper, discover the 5-pillar blueprint to data modeling and how it can help your data science team improve customer experience, data capacity, and more. Read More

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