See You at Big Data Everywhere San Diego 2016

April 11, 2016
Big Data Everywhere San Diego 2016

Join Splice Machine at Big Data Everywhere San Diego 2016 this Tuesday, April 12, where we’ll be taking meetings and sharing the latest updates on our unique dual engine database , including our newest product release that allows you to make smarter decisions based on real-time data at a fraction of the cost. According to IDC, the Big Data technology and services market Big Data technology and services market will grow at a 26.4% compound annual growth rate to $41.5 billion through 2018. That’s six times the growth rate of the overall information technology market. It’s time for all real-time industries—from IT and security to retail, marketing and advertising—to start building Big Data into your business, and we can help get you there.

Big Data Everywhere San Diego is a half-day conference focused on Hadoop and surrounding technologies that will bring together users and developers to share their experience and expertise. Presentations and success stories by industry experts will share Hadoop knowledge, best practices and use cases. Get up to speed on the practical and technical practice aspects of Hadoop and increase business value through Big Data.

Big Data Everywhere San Diego will take place on Tuesday, April 12, 2016 at the Hyatt Regency La Jolla in San Diego, CA. In addition to learning more about Splice Machine’s distributed, parallelized query execution database solution and various use cases, you will hear from speakers from Cisco, ID Analytics, MapR and Mtell discussing topics including Building a Hadoop-Based Enterprise Data Hub for the Credit and Identity Risk Market, Going Beyond the Data Lake, Operationalizing the IoT and Genome Analysis Pipelines. The conference is $49 to register and includes breakfast as well as a networking lunch.

Register today at and receive a 20% discount with the code Splice20.

To schedule a meeting with Splice Machine at Big Data Everywhere San Diego 2016, please send an email to