TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

TDWI E-Book | Analytics in the Cloud: The Challenges and Benefits

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?

TDWI E-Book | Investigative Analytics: The New BI Frontier

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."

TDWI E-Book | Unified Data Architecture

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.

TDWI E-Book | Enhancing Your Data Warehouse: How Big Data Technologies Can Augment and Complement Your DW

February 8, 2013

Can big data technologies benefit your relational database and data warehouse environments? Find out in this TDWI E-Book. Plus: Expert Q&A on DW augmentation benefits and best practices; a look at how how big data challenges the status quo; and tips for handling Hadoop.

TDWI E-Book | Overcoming Obstacles with BI and Big Data

December 5, 2012

Is traditional BI broken? How can we fix it? And is big data more than just the latest fad? Find answers to these questions and more in this TDWI E-Book.

TDWI E-Book | Self-Service BI

November 15, 2012

Download this TDWI E-Book to find out why turning business people into self-empowered “analytic explorers” involves more than just equipping them with discovery tools and turning them loose on massive data sets.

TDWI E-Book | Big Data Analytics

September 18, 2012

Download this TDWI E-Book to learn how to overcome obstacles, maximize business value, and get started with big data analytics. You’ll also read expert Q&A on misconceptions about big data analytics as well as a forecast of its future.