Hadoop

June 19, 2013

DATA CENTER

MapR and Cisco and Forrester Discuss the Seven Architectural Best Practices to Productionizing Hadoop

1 min read

On June 20th, Cisco and MapR will join with Forrester Research Big Data analyst Mike Gualtieri to discuss “productionizing” Hadoop. But what does it mean? Mike has developed a list of 7 architectural best practices that will help your enterprise quickly, and easily develop or move your Hadoop environment into standard data center processes. Following […]

May 29, 2013

DATA CENTER

Big Returns on Big Data through Operational Intelligence

3 min read

Guest Blog by Jack Norris Jack is responsible for worldwide marketing for MapR Technologies, the leading provider of a enterprise grade Hadoop platform. He has over 20 years of enterprise software marketing experience and has demonstrated success from defining new markets for small companies to increasing sales of new products for large public companies. Jack’s broad […]

May 7, 2013

DATA CENTER

Announcing 5th International Conference on Performance Evaluation and Benchmarking

1 min read

The Transaction Processing Performance Council today announced its fifth international Conference on Performance Evaluation and Benchmarking (TPCTC 2013). I’ve the great privilege of chairing TPCTC  series since 2009. This year’s conference will be collocated with the 39th International Conference on Very Large Data Bases (VLDB 2013) on August 26, 2013 in Riva del Garda, Italy. […]

March 5, 2013

DATA CENTER

Cisco Platform for NetApp Open Solution for Hadoop

1 min read

Cisco and NetApp have been partners for over a decade, and in January we announced the planned expansion of our partnership. We are always looking to work with our partners in new ways to offer customers greater choice, and Cisco and NetApp are working toward delivering a complete platform for enterprises in data-intensive industries with […]

February 27, 2013

DATA CENTER

Building on Success: Cisco and Intel Expand Partnership to Big Data

This has been an exciting week. Further expanding its Big Data portfolio, Cisco has announced collaboration with Intel, its long term partner, for the next generation of open platform for data management and analytics. The joint solution combines Intel® Distribution for Apache Hadoop Software with Cisco’s Common Platform Architecture (CPA) to deliver performance, capacity, and […]

February 26, 2013

DATA CENTER

Cisco and Intel Extend Relationship into Big Data

Today Paul Perez, Vice President and CTO of Cisco’s Data Center Group joined on stage downtown San Francisco Boyd A. Davis, Intel Architecture Group Vice President and GM, Data Center Software Division  to announce a proposed  extension of the alliance between Cisco and Intel into Big Data . Over the past months, our readers had […]

February 25, 2013

DATA CENTER

Cisco to support EMC Pivotal HD on UCS

Our Common Platform Architecture (CPA) for Big Data has been gaining momentum as a viable platform for enterprise big data deployments. The newest addition to the portfolio is EMC’s new Pivotal HD™ that natively integrates Greenplum MPP database technology with Apache Hadoop enabling SQL applications and traditional business intelligence tools directly on Hadoop framework. Extending support for Pivotal HD on Cisco […]

February 19, 2013

DATA CENTER

Cisco Tidal Enterprise Scheduler 6.1.1

When customers look to deploy their Hadoop solutions, one of the first questions they ask is, which distro should we run it on? For many enterprise customers, the answer has been MapR. For those of you not familiar with MapR, they offer an enterprise-grade Hadoop software solution that provides customers with a robust set of […]

December 5, 2012

DATA CENTER

Hadoop in the Enterprise Data Center

2 min read

A little over a month ago we had a chance to present as session in conjunction with Eric Sammer of Cloudera on Designing Hadoop for the Enterprise Data Center and findings at Strata + Hadoop World 2012 . Taking a look back, we started this initiative back in early 2011 as the demand for Hadoop was […]