See You at Big Data Everywhere Phoenix 2016

May 10, 2016
Big Data Everywhere

Join Splice Machine at Big Data Everywhere Phoenix 2016 on Wednesday, May 25th. We’re proud to be sponsoring the event this year! We’re also looking forward to taking meetings with conference guests and sharing information about Splice Machine’s simplified stream processing pipeline. For the first time, you can make informed decisions based on real-time data at a fraction of the cost of Oracle and other legacy RBDMS platforms. Big Data and the rapid influx of information coming from IoT connected devices and simultaneous analytics are at the heart of systems that support industries like telecommunications, digital marketing and retail. Splice Machine’s distributed, parallelized query execution solution gives you speed and batch, transactional and analysis, all in one database. It can be applied to numerous use cases across a range of industries.

Big Data Everywhere Phoenix 2016 is a half-day conference focused on Hadoop, Spark and other Big Data technologies, bringing together users, developers and thought leaders to share their experience and expertise via technical sessions and user success stories. Industry and technical experts will share their knowledge, share best practices, and discuss use cases and business applications. Presentations from industry experts like Joe Blue of MapR Technologies, Manny Puentes of Altitude Digital, and Michael Segel of Segel & Associates will cover the Customer 360 Revolution, Apache Spark use cases and much more. Get practical and technical guidance on Hadoop and Spark to boost your company’s Big Data ROI.

Big Data Everywhere Phoenix 2016 will take place at JW Marriott Phoenix Desert Ridge Resort & Spa, located at 5350 E. Marriott Drive in Phoenix, AZ. Registration is $29 for early-bird and $49 for general admission, which includes breakfast as well as a networking lunch. You can also receive a 20% discount by using the code Splice20.

Register today at

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