O’REILLY STRATA CONFERENCE, February 19, 2013 — Azul Systems, the award-winning leader in Java performance solutions, brings the best Java for Big Data to the 2013 O’Reilly Strata Conference, the annual conference that brings together the biggest minds in Big Data. Azul will be demonstrating how their Unstoppable Java solutions enable Big Data applications to make effective use of unprecedented amounts of live in-memory data.
The Azul team will highlight the practical uses of Unstoppable Java and Zing in transforming the capabilities and performance of Hadoop and Cloudera-based solutions. You’ll have the opportunity to meet with Azul executives and technologists who are working hands-on with leading-edge Big Data solution providers. You’ll also have the opportunity to engage with Azul representatives who are eager to team with developers, solution architects and line-of-business management to deliver practical, high-performance Big Data deployments.
WHO: Azul Systems, the award-winning leader in Java performance
WHAT: O’Reilly Strata Conference 2013: Making Data Work
WHEN: Tuesday, February 26, 2013, 5:00-6:00 p.m. Pacific Standard Time
Wednesday, February 27, 10:00 a.m.-4:00 p.m. and 5:30 p.m.-6:30 p.m.
Thursday, February 28, 2013, 10:00 a.m.-4:00 p.m.
WHERE: Booth #218, Expo Hall
Strata Conference 2013
Santa Clara Convention Center
5001 Great America Parkway
Santa Clara, CA 95054
https://strataconf.com/strata2013/
About Azul Systems
Azul Systems delivers high-performance and elastic Java solutions with unsurpassed scalability, manageability and production-time visibility. Designed and optimized for x86 servers and enterprise-class workloads, Azul’s Zing is the only Java runtime that supports highly consistent and pauseless execution for throughput-intensive and QoS-sensitive Big Data applications. Azul’s enhanced Java technologies also enable organizations to simplify Java-based operations by deploying fewer instances while achieving lower average latencies, greater response time consistency and dramatically improved operating costs.