EZINE:
It's taken a while, but the latest Microsoft OS is having an impact – read all about the journey to Windows 11, as well as the uptake of co-innovation and co-creation strategies in the channel, and Broadcom's acquisition of VMware
WHITE PAPER:
Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
EGUIDE:
Read this expert E-Guide and learn how to gain a stronger understanding of your customers and business as well as how to excel in today’s competitive market with real-time business intelligence (BI).
EGUIDE:
In this E-Guide, readers will learn the challenges big data poses for traditional analytics approaches, and best practices for success with this still emerging discipline.
EGUIDE:
This e-guide focuses on how to develop a foundation, including a discussion of when to update older technologies or modify a current data warehouse architecture to match today's new requirements.
WHITE PAPER:
This white paper identifies a shift in corporate thinking about the value of trusted information to the organization and outlines reasons why this shift is occurring. It explores common information integration challenges and outlines a list of key characteristics needed for an effective information integration solution.
INFORMATION CENTER:
This blog post takes a closer look at data marts and how data warehouses evolved from them. Learn about the pros and cons of this technology as well as trends to expect for the future.
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.
PRESENTATION TRANSCRIPT:
Most businesses today are optimizing their legacy data architecture in order to effectively support growing data volumes. Read this transcript to learn about the strategy Sheetz Inc. implemented that enabled them to reduce data loading time from 5 hours to 20 minutes, effortlessly process billions of rows of data, and more.
