EMC Hadoop Starter Kit ViPR Edition: 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?

Organizations that are deploying Hadoop as dedicated environments are creating more data siloes in the organization. This guide will enable customers to minimize data siloes by deploying any of the three most popular Hadoop distributions (Pivotal, Cloudera, Hortonworks) utilizing EMC ViPR software defined storage, enabling organizations to leverage existing investments in storage platforms/infrastructures for Big Data analytics. There are massive amounts of data already living in storage platforms whereby ViPR will ‘analytics’ enable those storage arrays without having to create a separate dedicated Hadoop environment.

2.  What are the best use cases for HSK ViPR Edition?

First, you can instantly deploy a Big Data repository through utilizing existing enterprise storage capacity as “Data Lakes” on top of which to enable analytics.

Second, you can reduce the growth in dedicated Hadoop environments since large volumes of unstructured data already living in EMC storage or third party such as NetApp arrays can be now exploited through Hadoop programs.

Third, you can eliminate the need to have multiple copies of the same data for different types of applications through ViPR’s support for multiple protocols/mixed workloads.  ViPR will enable dual mode access to the data under its management, enabling object based workloads and analytics applications to manipulate the same data since ViPR provides S3, Swift and Atmos APIs interface support as well as HDFS API access.

3.  So what are the pre-requisities for HSK ViPR Edition?

The guides are designed to enable the use of ViPR as a Hadoop compatible file system that resides as object storage on top of an existing ViPR supported file storage array. So to start you need a file system array that you can deploy ViPR data services in front of. For the compute side you need either physical or virtual machines to run the hadoop cluster. Anywhere from one to many can be used. The guides walk you through the automated deployment tools available through each distribution and shows how to use the native management tools to integrate ViPR HDFS services.

 

Revolution Analytics Boosts the Adoption of R in the Enterprise

The path to competitive advantage is being able to make predictions from Big Data. Therefore, the more you can build predictive analytics into your business processes, the more successful your organization will become. There is no doubt that open-source R is the programming language of choice for predictive analytics, and thanks to Revolution Analytics, R has the enterprise capabilities needed to drive adoption across the organization and for every employee to make data-driven decisions.

Revolution Analytics is to R what the vendor RedHat is to the Linux operating system—a company devoted to enhancing and supporting open-source software for enterprise deployments. For example, Revolution Analytics recently released R Enterprise 7 to meet the performance demands of Big Data whereby R now runs natively within Hadoop and data warehouses. I spoke with David Smith, VP of Marketing at Revolution Analytics to explain how Revolution Analytics has accelerated the adoption of R in the enterprise.

1.  What benefits do Revolution Analytics provide to organizations over just using open-source R?

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Want to Explore Hadoop, But No Tour Guide? EMC Just Published a Step-By-Step Guide

Are you a VMware Vsphere customer? Do you also own EMC Isilon? If you said yes to both, I have great news for you – you have all the ingredients for the EMC Hadoop Starter Kit (HSK).  In just a few short hours you can spin up a virtualized Hadoop cluster by downloading the HSK step-by-step guide.  Watch the demo below of HSK being used to deploy Hadoop:

Now you don’t have to imagine what Hadoop tastes like because this starter kit is designed to help you execute and discover the potential of Hadoop within your organization. Whether you are new to Hadoop or an experienced Hadoop user, you will want to take advantage of this turnkey solution for the following reasons:

-Rapid provisioning – From the creation of virtual Hadoop nodes to starting up the hadoop services on the cluster, much of the Hadoop cluster deployment can be automated, requiring little expertise on the user’s part.

-High availability – HA protection can be provided through the virtualization platform to protect the single points of failure in the Hadoop system, such as NameNode and JobTracker Virtual Machines.

-Elasticity – Hadoop capacity can be scaled up and down on demand in a virtual environment, thus allowing the same physical infrastructure to be shared among Hadoop and other applications.

-Multi-tenancy – Different tenants running Hadoop can be isolated in separate VMs, providing stronger VM-grade resource and security isolation.

-Portability – Use any Hadoop distribution throughout the Big Data application lifecycle with zero data migration – Apache Open Source, Pivotal HD, Cloudera, Hortonworks.

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 that uses VMware Vsphere and EMC Isilon should use this starter kit for Big Data projects.

1.  Why did you create the starter kit and what are the best use cases for this starter kit?

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NSA Outrage. Are We Really That Unaware?

The minute we happily turn on our electronic devices, we voluntarily expose ourselves. Sure, we think our emails and transactions are encrypted and unreadable, our location services are turned off, and our FB settings do not allow unauthorized users to see our most private thoughts. But the truth of the matter is that we all know, deep down inside, that nothing is foolproof and that there are people and bots out there capable of accessing our personal data. The NSA unfortunately did not have the class and expertise to secretly hack into systems unnoticed like the other bad guys, but instead, asked for it directly which makes it unexpected and worse in the eyes of democracy.

As an optimist, I personally think the U.S. government embracing Big Data is a good thing. Perhaps the whole NSA Prism debacle can be thought of as a New Age Search Warrant, commanding that all necessary data in the universe be collected and analyzed for the greater good. For those of you outraged by this breach in privacy, have you stood by your beliefs and terminated your Verizon cell phone service, deleted your FB account, and eliminated all email communications? My guess is no because you probably don’t actually know the extent of the NSA violation and the digital world is far more interesting than personal privacy. So before you go out protesting or draw conclusions based on the Patriot Act, read this interview with Technology Evangelist and Big Data influencer Theo Priestley to understand exactly how much power Prism holds with your personal data.

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1.  What sources of data has the NSA secured in Prism without our consent? And how is this different from corporations and data brokers misusing our personal data?

 

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