Episode 119 - Azure Data Lake

by Sujit D'Mello March 17, 2016

Cale and Sujit have a great chat with Azure Principal PM Arindam Chatterjee on the topic of Data Lake. Arindam demystifies the service for us and gives us some use-cases and scenarios where it makes sense to use it as opposed to other big data offerings from Azure.

Arindam Chatterjee is a Principal Program Manager in the Microsoft Azure Big Data team.  He comes to big data after extensive experience in Transaction Processing, Authentication & Authorization technologies in Windows Core OS, and designing the Microsoft Dynamics security model. Arindam and his team are now focused on building a scalable analytic workload service that your big data jobs can run on as efficiently and reliably as possible across thousands of machines. In addition, he is also responsible for making Azure Data Lake services ready for adoption by Enterprises by building the appropriate Security & Compliance features.

Media file: http://azpodcast.blob.core.windows.net/episodes/Episode119.mp3

Azure Data Lake links:

 

Azure Data Lake in 100 seconds (Video)

Azure Data Lake landing page is here.

Twitter: @azuredatalake & @azure

 

Other updates:

Azure DevTest Lab is a service that helps developers and testers quickly create environments in Azure while minimizing waste and controlling cost. You can test the latest version of your application by quickly provisioning Windows and Linux environments using reusable templates and artifacts. Easily integrate your deployment pipeline with DevTest Lab to provision on-demand environments. Scale up your load testing by provisioning multiple test agents, and create pre-provisioned environments for training and demos.

From <https://azure.microsoft.com/en-us/documentation/articles/devtest-lab-overview/>

 

Today we are announcing the Docker Volume Plugin for Azure File Storage. Leveraging the SMB 3.0 protocol support capabilities of Azure File Storage on Linux. This open source Docker volume plugin allows Docker containers to have data volumes stored outside the Virtual Machine and therefore makes it easy to migrate stateful containers between hosts.

 

From <https://azure.microsoft.com/en-us/blog/persistent-docker-volumes-with-azure-file-storage/>

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