With Cloud Expo 2012 New York (10th Cloud Expo) now well under six weeks away, what better time to introduce you in greater detail to the distinguished individuals in our incredible Speaker Faculty for the technical and strategy sessions at the conference...| By Tony Baer | Article Rating: |
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| May 2, 2012 10:00 AM EDT | Reads: |
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As we’ve noted previously, the measure of success of an open source stack is the degree to which the target remains intact. That either comes as part of a captive open source project, where a vendor unilaterally open sources their code (typically hosting the project) to promote adoption, or a community model where a neutral industry body hosts the project and gains support from a diverse cross section of vendors and advanced developers. In that case, the goal is getting the formal standard to also become the de facto standard.
The most successful open source projects are those that represent commodity software – otherwise, why would vendors choose not to compete with software that anybody can freely license or consume? That’s been the secret behind the success of Linux, where there has been general agreement on where the kernel ends, and as a result, a healthy market of products that run atop (and license) Linux. For community open source projects, vendors obviously have to agree on where the line between commodity and unique value-add begins.
And so we’ve discussed that the fruition of Hadoop will require some informal agreement as to exactly what components make Hadoop, Hadoop. For a while, the question appeared in doubt, as one of the obvious pillars – the file system – was being contested with proprietary alternatives like MapR and IBM’s GPFS.
Retrenching
What’s interesting is that the two primary commercial providers that signed on for the proprietary files systems – IBM and EMC (via partnership with MapR) – have retrenched. They still offer the proprietary file system systems in question, but both now also offer purer Apache versions. IBM made the announcement today, buried below the fold after its announced intention to acquire data federation search player, Vivisimo. The announcement had a bit of a grudging aspect to it – unlike Oracle, which has a full OEM agreement with Cloudera, IBM is simply stating that it will certify Cloudera’s Hadoop as one of the approved distributions for InfoSphere BigInsights – there’s no exchange of money or other skin in the game. If IBM also gets demand for the Hortonworks distro (or if it wants to keep Cloudera in its place), it’ll also likely add Hortonworks to the approved list.
Against this background is a technology that is a moving target. The primary drawback – that there was no redundancy or failover with the HDFS NameNode (which acts as a file directory) – has been addressed with the latest versions of Hadoop. The other – which provides POSIX compliance so Hadoop can be accessed through the NFS standard) – is only necessary for very high, transactional-like (OK, not ACID) performance which so far has not been an issue. If you want that kind of performance, Hadoop’s HBase offers more promise.
What’s interesting is that the two primary commercial providers that signed on for the proprietary files systems have retrenched.
But just as the market has passed judgment on what comprises the Hadoop “kernel” (using some Linuxspeak), that doesn’t rule out differences in implementation. Teradata Aster and Sybase IQ are promoting their analytics data stores as swappable, more refined replacements for HBase (Hadoop’s column store), while upstarts like Hadapt are proposing to hang SQL data nodes onto HDFS.
When it comes to Hadoop, you gotta reverse the old maxim: The more things stay the same, the more things are actually changing.
You may also be interested in:
- Fast data hits the big data fast lane
- EMC's Hadoop strategy cuts to the chase
- Big data consolidation race enters home stretch, as Teradata buys Aster Data
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Published May 2, 2012 Reads 1,038
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Tony Baer, principal of OnStrategies, is a well-published IT analyst with over 15 years background in enterprise systems and manufacturing. A frequent speaker at IT conferences, Baer focuses on strategic technology utilization for the enterprise. He studies implementation issues in distributed data management, application development, data warehousing, and leading enterprise application areas including ERP, supply chain planning, and customer relationship management. As co-author of several books covering J2EE and .NET technologies, Baer is an authority on emerging platforms. Previously chief analyst for Computerwire’s Computer Finance, he is a leading authority on IT economics and cost-of-ownership issues.
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The focus of Java EE 7 is on the cloud, and specifically it aims to bring Platform-as-a-Service providers and application developers together so that portable applications can be deployed on any cloud infrastructure and reap all its benefits in terms of scalability, elasticity, multitenancy, etc. The existing specifications in the platform such as JPA, Servlets, EJB, and others will be updated to meet these requirements.
Java EE 7 continues the ease of development push that characterized prior ...
By generating massive amounts of new data that in turn require more and more bandwidth, Big Data is stretching an already-congested enterprise WAN to the breaking point. Many companies have made sizable investments in Big Data technologies, and are now looking to emerging cloud technologies to reduce costs and improve performance.
In his session at the 10th International Cloud Expo, Raj Kanaya, CEO & Co-Founder of Infineta Systems, will discuss how, as private cloud build-out intersects with B...
For years, IT departments have organized their processes, employees, and business relationships around owning and operating the core IT assets in an enterprise. The current wave of cloud services can have a powerful effect on enterprise IT, with the potential for significant cost savings and operational efficiencies. To achieve these benefits, IT departments will have to integrate new ways of thinking about how IT resources are delivered.
In his general session at the 10th International Cloud ...
With Cloud Expo 2012 New York (10th Cloud Expo) now under six weeks away, what better time to introduce you in greater detail to the distinguished individuals in our incredible Speaker Faculty for the technical and strategy sessions at the conference...
We have technical and strategy sessions for you every day from June 11 through June 14 dealing with every nook and cranny of Cloud Computing and Big Data, but what of those who are presenting? Who are they, where do they work, what else have t...
The age of Big Data is here. Organizations are no longer challenged to find enough data to answer the pertinent questions required for success in today’s dynamic business environment. Rather, companies are struggling to keep pace with the enormous volumes of data invading their organizations – leaving some wondering what can we do to “connect the dots” from the data that is buried in our IT systems.
Cloud Computing offers federal agencies, companies, and communities new solutions for consuming...
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We have technical and strategy sessions for you every day from June 11 through June 14 dealing with every nook and cranny of Cloud Computing and Big Data, but what of those who are presenting? Who are they, where do they work, what else h...
With Cloud Expo 2012 New York (10th Cloud Expo) now under six weeks away, what better time to introduce you in greater detail to the distinguished individuals in our incredible Speaker Faculty for the technical and strategy sessions at the conference...
We have technical and strategy sessions for you every day from June 11 through June 14 dealing with every nook and cranny of Cloud Computing and Big Data, but what of those who are presenting? Who are they, where do they work, what else have t...
Infrastructure as a Service cloud platforms enable enterprise to experience agility. Infrastructure agility is key to deploying Big Data platforms and applications. As datasets grow in size and numbers in the enterprise, there needs to be a place to store, secure and analyze the datasets. IaaS clouds like Eucalyptus, with the industry's de facto standard IaaS API implementation, can be “the place” to enable enterprises to deploy Big Data analytics and applications.
Because all data is now in a...
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What we had in...
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How about some of these among others to have some fun and take a quick break fro...












