TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
Read the newest e-book from Hortonworks and TDWI “EDW Modernization: Becoming a Data-Driven Enterprise” and learn what it means to be a data-driven enterprise.
How do enterprise architecture professionals make the right choice for their enterprise data warehouse strategy? A recent Forrester Wave Report looked at Big Data warehouse vendors to see how they measured up in various categories, including deployment, support, roadmap and partners. Hortonworks was ranked as a leader in The Forrester Wave™: Big Data Warehouse, Q2 2017.
In this white paper, Dr. Barry Devlin of 9sight Consulting takes on the controversy: must you ditch your enterprise data warehouse (EDW) for a data lake? In fact, Dr. Devlin shows these two technologies are complementary. Each serves a different set of business and technical needs, and they work together to help you get the most value from your business data.
Download this free report today to discover what strategies others are adopting, what’s working, and what results they are achieving. Learn from the experience of others to steer around the obstacles and keep your own program moving ahead
Apache NiFi is an integrated data logistics and simple event processing platform. It provides an end-to-end platform that can collect, curate, analyze and act on data in real-time, on-premise, or in the cloud with a drag-and-drop visual interface. This book is a must read.
Firms face an enormous data management challenge: how to act on data and insights to serve increasingly powerful customers and outmaneuver disruptive competitors. Architects once had time to plan methodically, but those days are quickly fading as the pace of business change accelerates. The only answer is a continuous improvement that stretches data capabilities in an “insights-first” strategy. This report provides advice for enterprise and data architects to help them systematically improve their data management capabilities in order to turn data into insights.
To realize the full potential of Modern Data Applications, organizations need to be able to capture both rich, historical insights on data-at-rest and perishable insights from data-in-motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.