All Paths Lead To A Federation Data Lake

Is your organization constrained by 2nd platform data warehouse technologies with limited or no budget to move forward towards 3rd platform agile technologies such as a Data Lake? As an EMC customer you have the advantage of leveraging existing EMC investments to develop a Federation Data Lake at minimal cost. Additionally, the Federation Data Lake will generate healthy returns, as it is packaged up with the expertise needed to immediately execute on data lake uses cases such as data warehouse ETL offloading and archiving.

Data Lake

With the release of William Schmarzo’s Five Tactics to Modernize Your Existing Data Warehouse, I wanted to explore whether the Dean of Big Data views data warehouse modernization tactics or paths ultimately leading to a Federation Data Lake.

1.  What is a Data Lake and who should care?

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Don’t Accept The Status Quo For Hadoop

Hadoop is Everywhere – 99% companies will deploy/pilot Hadoop in 18-24 months according to IDC.  These environments will largely be based around standalone servers resulting in added management tasks due to data being spread out across many disk spindles across the data center.  With Hadoop clusters quickly expanding, organizations are starting to experience the typical growing pains one can compare to adolescence.  This begs the question- should DAS server configuration be the accepted status-quo for Hadoop deployments?

idcisilon

Whether you are getting started with Hadoop or growing your Hadoop deployment, EMC provides a long-term solution for Hadoop through shared storage and VM’s, delivering distinct value to the business in lower TCO and faster time-to-results.  I spoke with EMC Technical Advisory Architect Chris Harrold to explain why organizations are now turning to EMC to help transition Hadoop environments into adulthood.

1.  Almost every Hadoop deployment is based around the accepted configuration of standalone servers with DAS.   What have you seen as issues with this configuration with your customers?

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Cloudera Enterprise and EMC Isilon: Filling In The Hadoop Gaps

As Hadoop becomes the central component of enterprise data architectures, the open source community and technology vendors have built a large Big Data ecosystem of Hadoop platform capabilities to fill in the gaps of enterprise application requirements. For data processing, we have seen MapReduce batch processing being supplemented with additional data processing techniques such as Apache Hive, Apache Solr, and Apache Spark to fill in the gaps for SQL access, search, and streaming.  For data storage, direct attached storage (DAS) has been the common deployment configuration for Hadoop; however, the market is now looking to supplement DAS deployment with enterprise storage. Why take this approach? Organizations can HDFS enable valuable data already managed in enterprise storage without having to copy or move this data to a separate Hadoop DAS environment.

Cloudera

As a leader in enterprise storage, EMC has partnered with Hadoop vendors such as Cloudera to ensure customers can fill in the Hadoop gaps through HDFS enabled storage such as EMC Isilon. In addition to providing data protection, efficient storage utilization, and ease of import/export through multi-protocol support, EMC Isilon and Cloudera together allow organizations to quickly and easily take on new, analytic workloads.   With the announcement of Cloudera Enterprise certified with EMC Isilon for HDFS storage, I wanted to take the opportunity to speak with Cloudera’s Chief Strategy Officer Mike Olson about the partnership and how he sees the Hadoop ecosystem evolving over the next several years.

1.  The industry has different terminologies for enterprise data architectures centered around Hadoop. EMC refers to this next generation data architecture as a Data Lake and Cloudera as Enterprise Data Hub. What is the common thread?

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EMC Hadoop Starter Kit: Creating a Smarter Data Lake

Pivotal HD offers a wide variety of data processing technologies for Hadoop – real-time, interactive, and batch. Add integrated data storage EMC Isilon scale-out NAS to Pivotal HD and you have a shared data repository with multi-protocol support, including HDFS, to service a wide variety of data processing requests. This smells like a Data Lake to me – a general-purpose data storage and processing resource center where Big Data applications can develop and evolve. Add EMC ViPR software defined storage to the mix and you have the smartest Data Lake in town, one that supports additional protocols/hardware and automatically adapts to changing workload demands to optimize application performance.

EMC Hadoop Starter Kit, ViPR Edition, now makes it easier to deploy this ‘smart’ Data Lake with Pivotal HD and other Hadoop distributions such as Cloudera and Hortonworks. Simply download this step-by-step guide and you can quickly deploy a Hadoop or a Big Data analytics environment, configuring Hadoop to utilize ViPR for HDFS, with Isilon hosting the Object/HDFS data service.  Although in this guide Isilon is the storage array that ViPR deploys objects to, other storage platforms are also supported – EMC VNX, NetApp, OpenStack Swift and Amazon S3.

I spoke with the creator of this starter kit James F. Ruddy, Principal Architect for the EMC Office of the CTO to explain why every organization should use this starter kit optimize their IT infrastructure for Hadoop deployments.

1.  The original EMC Hadoop Starter Kit released last year was a huge success.  Why did you create ViPR Edition?

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