EBOOK:
This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges & learn best practices for freeing up your EDW to do the work it was meant to do: provide the insights you need through high-performance analytics and fast user queries.
sponsored by HP and CenturyLink Technology Solutions
EGUIDE:
This e-guide describes the likely paths of SAP Business Warehouse (BW) and HANA and outlines three possible scenarios for their convergence, or lack thereof.
EZINE:
Read this special edition of Business Information for advice from data management consultant and author Craig S. Mullins on today's database market. Learn about new data types which call for new approaches, like storing data in memory instead on of disk, or turning to NoSQL technologies.
EBOOK:
Hadoop and NoSQL databases have bumped data warehouse systems out of the IT spotlight. In this e-handbook, expert contributors Wayne Eckerson and Rick van der Lans argue that data warehouses are still central to BI and analytics architectures -- and still evolving.
EZINE:
Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.
EGUIDE:
Consult this expert e-guide to gain a firm understanding of the requirements needed to implement a successful real-time analytics plan while avoiding many of the pitfalls.
EGUIDE:
In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.
WEBCAST:
View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.