Using RStudio to Train ML Models with Qubole Spark at Production Scale
|September 13, 2018
For many data scientists and statisticians, R is their tool of choice. It provides many useful abstractions, is easy to script in, and has tons…
The Importance of Data Due Diligence
|March 26, 2018
Earlier this month, a study was published indicating that the widely used “Reddit dataset” (released in 2015 by Jason Baumgartner) had significant, previously unidentified gaps. This study…
Announcing Dashboards for the Qubole Data Service
|January 23, 2018
In response to significant demand from our customers, we are happy to announce a new extension of the Notebooks feature on the Qubole Data Service:…
Dashboard Setup Tutorial
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With the recent announcement of Dashboards, we at Qubole want to make sure that our customers have everything that they need to succeed with using…
Machine Learning Requires Big Data
|December 12, 2017
Last week, during the Deep Learning Summit at AWS re:Invent 2017, Terrence Sejnowski (a pioneer of deep learning) succinctly said “Whoever has more data wins”.…
My Qubole Internship Experience
|October 6, 2016
When I walked into Qubole’s office on June 10th—first day of my Product Analyst Internship there—I had nothing with me except for a notebook and…
The Value of Auto-scaling
|August 16, 2016
Intro In a recent blog post, we benchmarked auto-scaling and demonstrated that an auto-scaling cluster was a lot less expensive and only a little bit…
Benchmarking Auto-scaling Spark Clusters
|August 8, 2016
Intro Have you ever had trouble deciding how large to make a cluster? Do you sometimes feel like you’re wasting money when a cluster isn’t…
