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This week on the podcast, we brought in Sudip Hore to talk about the new and improved MyAutosupport Dashboard.  Join us as we discuss the new predictive and proactive features and what’s coming in the future.

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Apache Spark is an open-source cluster computing framework that was developed in response to limitations in the MapReduce cluster computing paradigm. Apache Spark is a relatively new programming framework for writing Hadoop applications that works directly with the Hadoop Distributed File System (HDFS). Spark is production ready, supports processing of streaming data, and is faster than MapReduce.

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Last week, I covered how to structure storage service classes to meet application capacity and performance requirements. But it is also useful to understand how NetApp® Service Level Manager (NSLM) automatically discovers and maps the existing storage pools to the different storage classes described in the previous blog. With this capability, NSLM eliminates the service level management guesswork on your end.

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Finding a high-tech enterprise without shadow IT is like finding a three-legged unicorn. Since the beginning of IT, there have been business groups purchasing hardware, software, and/or a specific web services without going through their corporate IT team. The rise in web-based apps, cloud computing, and bring-your-own-device (BYOD) strategies has only made bypassing IT easier.

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In the last blog post SAP HANA on NetApp storage we’ve demonstrated how easy it is to backup an SAP HANA database using Snap Creator and its SAP HANA plugin on NetApp. Besides many other advantages, it delivers a reliable, fully integrated and blazingly fast way of backing up the SAP HANA database. Today, we want to focus on the restore and recovery of an SAP HANA database. By using the snapshot technology the actual restore of SAP HANA database volumes is a matter of a few seconds, independent of the size of the database.

 

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