Data Science on Qubole Data Platform
The cybersecurity company yields greater data-processing at lower costs, and realizes more powerful insights with Qubole.
Nauto Improves its Data Scientist Productivity, Accelerates Product Development
Return Path drove down compute costs and was able to deliver self-service access to data with Qubole
Ibotta cut costs thanks to Qubole’s autoscaling and downscaling capabilities, and the ability to isolate workloads to separate clusters.
Qubole saved Poshmark up to one year to start transforming big data into creating value for its community
Best practices for Spark Notebooks in Qubole to lower costs and increase productivity of your data teams
The data on big data -- what engines are used most, for what, and which are the rising stars.
Build and use a time-series analysis model to forecast future sales from historical sales data
Our customers at Qubole use notebooks with Apache Spark as the back-end to build machine learning pipelines. Often, it is the data scientists who develop… The post A Data Scientist’s Guide to...
Wesley Goi from Honestbee shares how they leverage high-memory clusters running Spark to parse logs generated from Honestbee’s Food Recommender System
Why ‘laptop data science’ within enterprises is dead in the age of cloud computing
How Expedia's Data Science team improved performance, increased sales, and promoted innovation
Sasha Mjushovic, Data Scientist, discusses how moving to the cloud and Qubole have accelerated their new product deployment and allows for effective collaboration.
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