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London, February 9, 2016 – Looker, the business intelligence platform that is powering data-driven companies, today announced support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyse the data where it lives, significantly eliminating the time, expertise, and the cost burdens of moving the data. Today’s announcement expands Looker’s list of supported data warehouses, such as Amazon Redshift, and ensures complete compatibility with the Amazon Elastic MapReduce (Amazon EMR) suite of frameworks.

Until today, it was painfully slow to do data analysis in Hadoop. Typically, data analysts had to move subsets of data into data warehouses to perform analysis and, as a result, business teams rarely had direct access. Today, thanks to advances in the SQL query engines, big data technologies are finally accessible for business...

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