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The free analytics question comes up over and over again, especially as it pertains to open source analytic offerings. I don’t think a day goes by when someone at a company doesn’t ask, “Why should I pay for analytics when I can use (fill in the blank) open source statistics/analytics?” You will find many lengthy discussions all over the Web on just this topic. Often the discussion is much more impassioned than it needs to be. I will address the Read more…
For all its benefits, Hadoop has its drawbacks. The actual movement of data can be complex, and does not lend itself to efficient execution. Discouraged with Hadoop’s heaviness, an online advertising company developed and released as open source an alternative called Cluster Map Reduce (CMR) that it says is lighter, faster, and simpler to program. CMR was developed by Chitika, an online advertising company based in Massachusetts. Chitika was using the Hadoop Distributed File System (HDFS) as the core of Read more…
While Moore’s Law has made computing and storage capacity less expensive with each passing year, the amount of data that companies are storing and the number and sophistication of the algorithms that they want to employ on that data to perform analytics is growing faster than the prices are dropping. And that means the bang for the buck of the underlying hardware and the analytics software that runs atop it matter. The trouble is that benchmarking systems takes far too Read more…
The ongoing explosion of data is forcing users to adapt their storage methodologies beyond traditional file- and block-level storage. Object stores and software-defined storage mechanisms, in particular, are quickly gaining footholds at organizations that need to store massive unstructured data sets. Meanwhile, some vendors are promoting a twist on object stores with new “data-defined” storage techniques. File-level storage works well with traditional structured data, such as what you might find in a commercial accounting system using direct-attached storage devices (i.e. Read more…
The strategic partnership that Hortonworks and Red Hat unveiled today is interesting on several fronts. For starters, there are the joint development projects, most notably the connector that allows Hortonworks’ Hadoop distribution to talk natively to Red Hat Storage. Beyond that, the partnership with the $10-billion commercial open source software company provides a glimpse of who Hortonworks might want to be when it grows up.
News In Brief
Big data may be the killer app for clouds, said Red Hat today, announcing their intention to seamlessly shepherd their considerable installed user base into a new era of computing.
This week Red Hat entered the enterprise big data storage market with a new software storage appliance. The offering, which leverages both the technology from the acquisition of Gluster as well as its own Red Hat Enterprise Linux 6.1, targets big unstructured data.
This Just In
Hortonworks, the leading contributor to and provider of enterprise Apache Hadoop, today announced the latest addition to its joint engineering alliance with Red Hat Inc., the world’s leading provider of open source solutions, including integration of OpenShift, Red Hat’s award-winning Platform-as-a-Service (PaaS) offering, with Hortonworks Data Platform, bringing Hadoop to the open hybrid cloud. OpenShift integration with Hadoop will be highlighted at Red Hat Summit in San Francisco, April 14-17.
Red Hat, Inc., the world’s leading provider of open source solutions, today announced that Red Hat Storage helps re-engineer the storage functionality for higher education IT environments — including McMaster University and University of Reading — to manage the growing challenges of big data. A truly open, software-only storage solution based on community-driven innovation, Red Hat Storage helps universities manage petabyte-scale workloads to help produce important research and enable more effective online courses.
Red Hat, Inc., the world’s leading provider of open source solutions, today announced the general availability of Red Hat JBoss Data Virtualization 6, a comprehensive platform for data integration and unified access across disparate data sources that is designed to turn big data into actionable information.
Hortonworks, the leading contributor to and provider of enterprise Apache Hadoop, and Red Hat, Inc., the world’s leading provider of open source solutions, announced today they have expanded their relationship through the formation of a strategic alliance encompassing the integration of product lines, joint go-to-market initiatives and collaborative customer support. The companies also announced the availability of the beta program for the Hortonworks Data Platform (HDP) plug-in for Red Hat Storage.
Red Hat, Inc., the world’s leading provider of open source solutions, announced today that it has contributed software to the Gluster Community that integrates the GlusterFS open software-defined storage filesystem with the Intel Distribution for Apache Hadoop software (Intel Distribution).