×

Hello! Tell us a little about yourself...

First name
Last name
Company
Number of Employees
By registering, you have read and agree to the Terms of Use and Privacy Policy.
Thank you!
Error - something went wrong!

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.”

Previous
How ISCS Plugged Looker into Its Flagship Product to Meet Customer Needs
How ISCS Plugged Looker into Its Flagship Product to Meet Customer Needs

Blue Hill Chief Research Officer Hyoun Park notes in this infographic how Looker, an in-database analytics ...

Next
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...