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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 to easily query massive structured data sets.

Rex Gibson, Manager of Data Engineering at Knewton and Scott Hoover, Data Scientist at Looker walk through how these pipelines work. They discuss:

- their technology and data stacks

- possible drawbacks to Hadoop + Redshift

- the merits and drawbacks associated with making data processing and querying more “democratic.”

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Look & Tell London - BigQuery + Redshift: Two great tastes that taste great together at Reed Online
Look & Tell London - BigQuery + Redshift: Two great tastes that taste great together at Reed Online

Jonathan Leedham, BI manager for Reed.co.uk, has been focusing on ending the reporting treadmill, democrati...

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Data Analytics on AWS Redshift
Data Analytics on AWS Redshift

AWS continues to set the standard for delivering infrastructure services in the cloud. This paper describes...