Building and Maintaining a Data Lake for Big Data Analytics


TUESDAY, AUGUST 22 - 9am PT / 12pm ET

Many data-driven organizations are adopting data lakes to support data discovery, data science and real-time operational analytics capabilities. In fact, one third of DBTA readers are planning projects for 2017. The ability to inexpensively store large volumes of data from diverse sources and make that data readily accessible to workers and applications across the enterprise is a huge advantage for companies pursuing new types of analytics, especially those involving the Internet of Things and cognitive computing use cases.

However, building and maintaining a data lake to support new analytics applications involves a number of technical challenges, from data architecture and integration, to data security and governance.

Join us for a special webinar on August 22nd with Joe McKendrick, lead analyst at Unisphere Research, and Mark Van de Wiel, CTO at HVR, as they highlight common pitfalls, key best practices, and success stories in building and maintaining a data lake for big data analytics that you can trust.

Don't miss this opportunity to get a deeper understanding of proven technologies and strategies. Reserve your seat today!

Register now to join usfor this special webinar, brought to you by HVR: "Building and Maintaining a Data Lake for Big Data Analytics."

Audio is streamed over the Internet, so turn up your computer speakers!
Stephen Faig
Research Director
Unisphere Research
and DBTA
Joe McKendrick
Research Analyst
Mark Van de Wiel