EGUIDE:
Alteryx's senior vice-president for Asia-Pacific addresses some misconceptions about data analytics and what the company is doing to stake a bigger claim on the market.
WHITE PAPER:
Access the following white paper to uncover expert insights on how to leverage business intelligence coupled with predictive analytics to take your customer relationships to the next level. Uncover the importance of customer intimacy and how you can achieve it easily and efficiently.
EBOOK:
There's more to Hadoop than meets the eye. Along with its core components, there are a whole slew of related software tools packaged by vendors into commercial Hadoop distributions. In this expert Hadoop software tool buyer's guide, learn about features and functionalities, and economical options for managing and analyzing big data in Hadoop.
EGUIDE:
Access this expert guide to learn the essential considerations you need to make when choosing the right data warehousing solution and discover 6 must-have cloud migration strategies.
WHITE PAPER:
Access the following white paper to uncover how to enable a faster SAP HANA deployment time and an overall faster time to ROI. Learn about the prerequisites for a smooth adoption, where to turn for additional services, and more.
EBOOK:
With SAP HANA at the center of its marketing focus, SAP is quickly finding that it is customers -- and not the C-Suite -- that will dictate the success of the in-memory database platform.
WHITE PAPER:
Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
EGUIDE:
This expert e-guide reveals the increased complexity behind big data projects, and how new approaches to data integration and governance are required. Additionally, learn why centralizing data integration may not be the best answer to tackling organizations' ever-increasing amounts of distributed data.