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Four new demonstrations using the vSphere Big Data Extensions (BDE) have recently been made available on the VMwareTV area on Youtube for your use. They are all compact (less than 5 minutes in duration). The demos are described below.

BDE Demo #1: Installing and Configuring the vSphere Big Data Extensions

This demonstration shows the process for installing and configuring the vSphere Big Data Extensions feature. This capability is available as a free download with VMware vSphere Enterprise Plus. It allows you to provision Hadoop clusters on to vSphere virtual machines easily and quickly, and to manage them in a flexible way. It also provides a number of elasticity features for scaling your Hadoop virtual machines up or down automatically or manually.

BDE Demo #2: Deploying a Basic Hadoop Cluster with VMware vSphere Big Data Extensions

This demonstration shows the deployment of a basic Hadoop cluster with the vSphere Big Data Extensions. The Big Data Extensions feature is available as a free download with VMware vSphere Enterprise Plus. We provision the Hadoop cluster using the vCenter plugin that comes with Big Data Extensions (a familiar user interface to many administrators)and show how different Hadoop roles can fit into various sizes of virtual machines – and how they are deployed in an automated way. This will greatly simplify the work of the administrator as he/she deploys a variety of Hadoop clusters for various needs.

BDE Demo #3: Deploying an HBASE Cluster with the VMware vSphere Big Data Extensions

HBASE is a popular open source distributed columnar database that uses the MapReduce and HDFS features of Hadoop to manage its data. It is often in demand by Hadoop users. This demonstration shows the deployment of an HBASE cluster with the vSphere Big Data Extensions. The Big Data Extensions feature is available as a free download with VMware vSphere Enterprise Plus.

The HBASE cluster is created using the vCenter plugin that comes with Big Data Extensions (This is a familiar user interface to many VMware administrators)and we show how HBASE Components map into various sizes of virtual machines – and how they are deployed in an automated way. This simplifies the work of the administrator as he/she deploys a variety of different clusters for various needs.

BDE Demo #4: Self-Service Provisioning of Hadoop with VMware vCloud Automation Center and vSphere Big Data Extensions

VMware vCloud Automation Center (vCAC) is a cloud management facility from VMware that contains catalogs of application types that can be deployed by users and developers in a self-service fashion to private clouds.

This demonstration shows the deployment of different types of Hadoop clusters using the vSphere Big Data Extensions from within the vCAC user interface. The Big Data Extensions feature is available as a free download with VMware vSphere Enterprise Plus.

The vCAC catalogs are consulted by the user, possibly a person in development or testing, for a suitable, pre-built Hadoop cluster configuration. Using a simple set of choices the user can then have that cluster deployed to a set of vSphere servers very quickly, without concerning themselves with the resources that need to be provisioned. This frees the administrator from being involved in every Hadoop cluster deployment and allows the end-user more choice in what they want to deploy. The vCAC tool also has powerful workflows that can control access to the various steps in the deployment process.

You can also get to these demos using the VMwareTV playlists area by choosing the Big Data playlist:

https://www.youtube.com/user/vmwaretv/playlists

 

About the Author

Justin Murray

Justin Murray works as a Technical Marketing Manager at VMware . Justin creates technical material and gives guidance to customers and the VMware field organization to promote the virtualization of big data workloads on VMware's vSphere platform. Justin has worked closely with VMware's partner ISVs (Independent Software Vendors) to ensure their products work well on vSphere and continues to bring best practices to the field as the customer base for big data expands.