EBOOK:
How can you decide if you should invest in cloud BI tools? Learn crucial information about cloud BI and analytics for IT decision-makers. Discover the biggest trends, benefits, and challenges of cloud BI tools.
EBOOK:
The array of NoSQL databases available to organizations can be overwhelming. With this guide, learn how to determine whether the technology is right for your organization.
WHITE PAPER:
Access the following white paper to uncover how a data manager works seamlessly with your Cognos BI solution to help simplify the way your data is presented. Get a firsthand look at how simplification can effectively increase the performance of the end user and more.
EGUIDE:
In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.
EGUIDE:
This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.
WHITE PAPER:
The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
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.
PRODUCT LITERATURE:
In this resource, discover a converged infrastructure specifically designed for demanding, high-performance databases that provides millisecond response times, continuous availability, and high flexibility.
EGUIDE:
Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
