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Presentation in London: Query Engines for Hive: MR, Spark, Tez with LLAP – Considerations! July 7, 2016

Posted by Mich Talebzadeh in Big Data.


I will be presenting on the topic of “‘Query Engines for Hive: MR, Spark, Tez with LLAP – Considerations!” in Future of Data: London


Organized by: Hortonworks

Date: Wednesday, July 20, 2016, 6:00 PM to 8:30 PM 

Place: London

Location:La Tasca West India Docks Road E14


If you are interested please register here

Looking forward to seeing those who can make it to have an interesting discussion and leverage your experience.


Apache Hive has established itself to be the Data Warehouse of choice on Hadoop for storing data on HDFS and compatible file systems. Hive has been using the standard MapReduce as its execution engine for a while. Newer release of Hive allow Apache Spark or Apache Tez together with LLAP to be used as its query engines as well. With the ability of Hive to deploy these different performant execution engines, it is important to understand the benefits and limitations that each engine brings in coming to an informed decision in deploying them. Mich will discuss how to set up Spark as execution engine for Hive and will present some interesting results. In addition, the presentation has now been extended to cover the deployment of Tez together with LLAP as a hybrid execution engine for Hive with equally interesting findings.

The proceeding are available here





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