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November 29, 2016
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Can an Elephant Fly in the Cloud?

It is that time of year again, right before Christmas in Las Vegas, where nearly 30,000 technologists gather to see the latest in innovation around the Cloud. Hortonworks is honored to participate as an exhibitor for the first time.

If you are in Vegas this week for the AWS re:Invent, please stop by our booth #2732 to see our latest cloud offering in action.

Hortonworks recently released Hortonworks Data Cloud (HDCloud) for AWS in the AWS Marketplace. To get a 5 day free trial, go to the AWS Marketplace Listing.


Our focus is on enabling modern data applications as part of a connected data architecture that spans both the data center and the cloud with the enterprise security and governance that our enterprise customers expect.

One reason customers choose to run Big Data projects in the cloud is simply for ease of use. We have taken that to heart with this release. As an example, we preconfigure Apache Hive to run in Apache Tez mode for the ETL & data preparation use case. We configure the right components for the right job so our customers are not bogged down with that complexity. We have also optimized connectivity to S3 for Hive and Apache Spark use cases. This is about abstracting the end users from the “animals in the zoo” and removing that type of complexity so they can boot up, do their work, and shut down. To learn more about our offering, go to Hortonworks Data Cloud for AWS.

Hortonworks is very committed to providing our customers the best technology as well as the most choice. We continued to work with our premier Cloud partner, Microsoft, to package the latest and greatest in the recent Azure HDInsight 3.5 announcement based on the Azure HDInsight service. They announced the general availability of ADLS, which is their exabyte scale data storage and management offering in Azure. Hortonworks recently delivered the work to certify Azure HDInsight 3.5 based on HDP 2.5 against ADLS. This means customers can choose between using WASB and ADLS as their storage. Both scenarios can be fully supported by Microsoft.

Microsoft also announced a new HDInsight Cluster type based on Apache Kafka for streaming ingestion with out of the box integration with Spark and Apache Storm HDInsight Clusters. This service is currently in preview. Additionally, Microsoft announced the general availability of R server on Azure HDInsight with out of the box integration with Spark on Azure HDInsight.  To learn more about this offering, go to Azure HDInsight.

Once again if you are attending the re:Invent show in Vegas, please stop by booth #2732!

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