Data Democracy: Hadoop + Redshift

March 17, 2016
See the recording at http://looker.com/learn#ufh-i-225858450-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 Presentation
The Power of Smart Counting at The RealReal
The Power of Smart Counting at The RealReal

Counting — the foundation for marketing analytics. While it seems simple (How many people placed orders las...

Next Presentation
Creating a Single Source of Truth: Leverage all of your data with powerful analytics in days, not months.
Creating a Single Source of Truth: Leverage all of your data with powerful analytics in days, not months.

With a centralized data store, the entire spectrum of analytics is at your fingertips. Using Looker & Segme...