I had the pleasure of attending Cloudera’s recent analyst summit. Presenters reviewed the work the company has done since its founding six years ago and outlined its plans to use Hadoop to further empower big data technology to support what I call information optimization. Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop. The Hadoop technology has brought to the market an integration of computing, memory and disk storage; Cloudera has expanded the capabilities of this open source software for its customers through unique extension and commercialization of open source for enterprise use. The importance of big data is undisputed now: For example, our latest research in big data analytics finds it to be very important in 47 percent of organizations. However, we also find that only 14 percent are very satisfied with their use of big data, so there is plenty of room for improvement. How well Cloudera moves forward this year and next will determine its ability to compete in big data over the next five years.
Topics: Big Data, Teradata, Zoomdata, Cloudera, Hadoop, Hortonworks, IBM, Location Intelligence, Operational Intelligence, Oracle, Business Intelligence (BI), Hive, Impala, Information Applications (IA), Information Management (IM), IT Performance Management (ITPM)
The big-data landscape just got a little more interesting with the release of EMC’s Pivotal HD distribution of Hadoop. Pivotal HD takes Apache Hadoop and extends it with a data loader and command center capabilities to configure, deploy, monitor and manage Hadoop. Pivotal HD, from EMC’s Pivotal Labs division, integrates with Greenplum Database, a massively parallel processing (MPP) database from EMC’s Greenplum division, and uses HDFS as the storage technology. The combination should help sites gain from big data a key part of its value in information optimization.
Topics: Big Data, EMC, MapR, HAWQ, HDFS, Pivotal HD, Business Analytics, Cloud Computing, Cloudera, Hadoop, Hortonworks, Location Intelligence, Business Intelligence (BI), Cirro, Hive, Information Applications (IA), Information Management (IM), Tableau Software
Business is starting to realize that taking advantage of big data is not just technically feasible but affordable by organizations of all sizes. However, as outlined in our agenda on big data and information optimization, the technology must be engineered to the information needs of business. Hortonworks has been steadily advancing its big data technology called Hadoop and contributing its developments back to the Apache Software Foundation for a range of projects. The company performs enterprise-level testing to ensure Hadoop not just operates but scales across operating systems, cloud computing, virtual machines and appliances. Over the last year Hortonworks has released a number of certifications and benchmarks for an enterprise-ready version of Hadoop for which it provides support and services. These are important steps forward in meeting the needs of IT management, which is the audience evaluating big data technologies in 66 percent of organizations according to our big data research.
Topics: Big Data, Microsoft, Talend, Teradata, Apache, Microsoft HDInsight, Simba, Strata Conference, Business Analytics, Cloud Computing, Hadoop, Hortonworks, Informatica, HDP, Hive, Information Applications (IA), Information Management (IM), Tez