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PALO ALTO, CA -- (Marketwired) -- 05/21/15 -- Metanautix, a big data analytics company focused on simplifying the data supply chain, today announced that Jim Adler, Vice President of Products and Marketing at Metanautix, will present on the Big Data Track at Couchbase Connect 2015 at Levi's Stadium in Santa Clara, California. The session, titled "Metanautix Quest and Couchbase: Scalable Analytics Across NoSQL, RDBMS, and Hadoop," will examine a new approach that makes it easy to quickly read and write big data from Couchbase, RDBMS, and Hadoop HDFS, while also performing visual, interactive analysis using leading BI tools like Tableau and Excel; and deploy in virtualized environments like VMware.

Enterprises are increasingly faced with a variety of data silos, each optimized for specific workloads and data types. For example, product catalogs may reside in Couchbase as JSON-structured documents, sales transactions may be stored in an RDBMS as flat relational tables, and web logs may be stored in Hadoop's HDFS. Join Jim Adler as he guides organizations on combining data from these disparate silos quickly, at scale, while leveraging years of investment in standard SQL.

Who:
Jim Adler, VP of Products and Marketing at Metanautix

What:
Metanautix Quest and Couchbase: Scalable Analytics Across NoSQL, RDBMS, and Hadoop

Where:
Levi's Stadium
4900 Marie P. DeBartolo Way
San Clara, CA 95054

When:
June 4, 2015 from 5:15 p.m. - 6:00 p.m. PDT

Additional Resources:

• View the Strata San Jose Agenda
• Learn more about Metanautix: here
• Learn more about Couchbase: here
• Follow us on Twitter: here
• Follow us on LinkedIn: here

About Metanautix

Metanautix empowers organizations to make rapid business decisions and build better products using all their data assets. The Metanautix Quest™ data compute engine lets users easily access and combine any data as a table, regardless of format, including records, logs, documents, audio, images and video. Built with next generation distributed computing technology, Quest provides fast answers from data of any size and location, whether it is on-premises, in the cloud or both. Quest enables end-to-end analysis, including extract, transform and load (ETL), ad hoc analysis and discovery and in-memory serving, resulting in a simplified and transparent data supply chain.