TDWI eBooks on Data Management, Big Data, IoT, Cloud and Analytics
TDWI E-Books connect you with the experts as they explore timely topics such as big data integration, cloud computing, and advanced analytics. Each e-book features hard-hitting articles as well as perspectives and Q&A from top industry solution providers on trends, challenges, benefits, misconceptions, and best practices.
September 29, 2014
Maintaining data quality has always been a top issue for enterprises, but with changing data needs and business environments—including big data, unstructured data, and data governance—it’s never been more challenging. Download this e-book to read about the top data quality issues faced by enterprises today, and how you can address them.
June 27, 2014
From in-memory databases to big data, from unstructured data to geospatial data, the enterprise data warehouse is facing impacts from a variety of technologies. Get an insider's look into the next generation of BI in this TDWI E-Book.
June 25, 2014
Without accurate and trustworthy data, the value of enterprise analytics will be diminished. This TDWI E-Book describes the value of confidence in your data, and how to get it.
March 13, 2014
This TDWI E-Book features expert Q&A and useful articles about Hadoop’s evolving role in the data warehouse—and tips for getting started in your organization. Learn how to seamlessly integrate Hadoop into your existing system.
January 28, 2014
Big data is part of the new IT environment—and it’s here to stay. Now is the time to begin a big data implementation. But where do you start?
January 6, 2014
Download this e-book to learn about the benefits of enterprise search, and why traditional search no longer provides users the complete picture of an enterprise's information.
December 13, 2013
In this TDWI E-Book, you'll discover the key factors that can help you create visualizations that will maximize your users’ grasp of their data and the role of advanced visualizations in working with and understanding big data.
November 15, 2013
Today, organizations are heavily invested in the cloud. Critical business processes depend on cloud services; some are enabled solely by the cloud. In other words, the cloud is our infrastructure. If that’s the case, why do organizations still insist on treating infrastructure as an afterthought?
June 18, 2013
Machine-generated data poses significant challenges for conventional relational database management systems, to say nothing of conventional analytics. It requires new technologies, new methods, and even new thinking. What's the answer? This e-book takes a look at "investigative analytics."
June 6, 2013
In this TDWI E-Book, we explore big data’s challenges, opportunities, and common mistakes, as well as the role a unified data architecture plays in this technology environment.