blog_posts: 09b8d4b636
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#3-15964 | 2020-04-23 23:39:15 | Lower TCO and Increase Query Performance by Running Hive on Spark in Amazon EMR | https://aws.amazon.com/blogs/apn/lower-tco-and-increase-query-performance-by-running-hive-on-spark-in-amazon-emr/ | Learn how Mactores helped Seagate Technology to use Apache Hive on Apache Spark for queries larger than 10TB, combined with the use of transient Amazon EMR clusters leveraging Amazon EC2 Spot Instances. It was imperative for Seagate to have systems in place to ensure the cost of collecting, storing, and processing data did not exceed their ROI. Moving to Hive on Spark enabled Seagate to continue processing petabytes of data at scale with significantly lower TCO. | https://d2908q01vomqb2.cloudfront.net/77de68daecd823babbb58edb1c8e14d7106e83bb/2020/04/03/Mactores-AWS-Partners-300x150.jpg | 09b8d4b636 | Suraj Nathani, Anil Patel, Sanjay Nighojkar | 2021-01-15 23:42:35 | 23 Apr 2020 |
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