Looker for Big SQL
SQL query engines like Spark and Presto make it possible for companies to harness Hadoop’s power for analytics. With Looker, analysts can access all their data in Hadoop - transforming raw data into meaningful metrics.
Architecting for Access: Simplifying Analytics on Big Data Infrastructure
3 Reasons In-Cluster Analytics is a Big Deal
Looker for Cloudera
Looker for Hadoop
Look & Tell SF: Hadoop for Advanced Analytics: Pipedream or Reality?
Amazon Web Services, Craftsy, and Looker discuss the technical and business challenges of analytics on Hadoop. This panel includes topics including common Hadoop use cases & rationale, roles of Hadoo
Driving Data Democracy: Hadoop & Amazon Redshift
The Hadoop ecosystem has improved markedly over the past few years. Moreover, MPP databases seem to slot in nicely as complementary tools to map-reduce batch jobs, in that they allow analytics teams t
SQL on Hadoop for Enterprise Analytics
Hear why SQL on Hadoop is the future of analytics. Mike Xu, Looker Data Architect and Evangelist shares how updates to SQL query engines like Spark and Presto are allowing on schema database querying.