Lower TCO, Boost Query Performance: Run Hive on Spark in Amazon EMR
Blog
This blog was first published by same authors on Amazon APN Blogs. As mentioned in the first post in our series, Seagate Technology asked Mactores C...
Suraj has deep expertise across clouds (AWS, Azure, Google cloud, IBM Softlayer, and IBM Bluemix), BigData tools (Spark, Storm, Kafka, Beam and Impala), DevOps tools (Anisble, Packer, Terraform, CFM, ARM, Chef, Puppet, and Ansible), IoT services (AWS IoT, and Azure IoT), NoSQL databases (HBase, Cassandra, Redis, MongoDB, and Elasticsearch), OSes (Linux, Unix and Windows) and programming languages (Java, C# and Python).
Blogs and Articles
Optimizing Presto SQL on Amazon EMR to Deliver Faster Query Processing
Blog
Seagate Technology is a United States-based data storage company with worldwide manufacturing facilities that generate huge amounts of manufacturing a...
Apr 13, 2020 by Suraj Nathani
Lower TCO and Increase Query Performance by Running Hive on Spark in A...
External
With petabytes of data accumulated over 20 years, and more being generated each day, it was imperative to have systems in ...
Apr 23, 2020 by Suraj Nathani
Optimizing Presto SQL on Amazon EMR to Deliver Faster Query Processing
External
We explain the three different migration options, the results each one produced, and the architecture of the solution ulti...
Apr 3, 2020 by Suraj Nathani