From querying your data and visualizing it all in one place, to documenting your work and building interactive charts and dashboards, to running machine learning algorithms on top of your data and sharing the results with your team, there are very few limits to what one can do with the Jupyter + Redshift stack. However, setting everything up and resolving all the package dependencies can be a painful experience.
In this blog post I will walk…Continue
Added by Yevgeniy Slutskiy Meyer on February 12, 2016 at 1:30am — No Comments
Previously, we discussed the role of Amazon Redshift's sort keys and compared how both compound and interleaved keys work in theory. Throughout that post we used some dummy data and a set of Postgres queries in order to explore the…Continue
Added by sasha blumenfeld on August 28, 2015 at 7:20am — No Comments