WHITE PAPER:
Access the following white paper to uncover an analytics solution that is helping banks compete with their larger counterparts. Discover how you can gain the critical analytical insights from your data—fast—when you need it and where you need it, all while saving capital to push towards innovation
WHITE PAPER:
The following white paper explores the current state of cloud within the business environment with particular attention to cloud 2.0. Learn what's new with cloud 2.0, what factors are driving this shift, and most importantly, uncover which best practices will ensure success in a cloud 2.0 world.
EBOOK:
Download this handbook from the editors of SearchDataManagement.com to view the latest benefits of data virtualization, use cases, and how to use data virtualization to feed logical data warehouses and agile BI.
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.
EBOOK:
This expert handbook explores how to unlock the benefits of cloud data management. Find out how to integrate data in hybrid environments, increase scalability with NoSQL, enhance BI and data visualizations, and more.
EGUIDE:
SAP HANA promises to be a game changer in the business intelligence (BI) and analytics space. However, some organizations remain skeptical of the benefits of investing in yet another technology to accelerate analytics. This e-guide puts those doubts to rest with an in-depth look at how to build a business case for in-memory computing and SAP HANA.
WHITE PAPER:
Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
EBOOK:
Access this extensive, expert e-book to uncover the 6 best use cases of big data for 2014. Discover what makes these use cases successful and how you can capitalize on the same basic efforts.
EBOOK:
This handbook on IoT data management practices examines the challenges that must be addressed on the road to effective IoT management. It advises organizations to bulk up their IT architecture before tackling massive amounts of IoT data, proposes four critical steps in formulating all-encompassing IoT data management practices, and more.
