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This is a guest post from Shaun Elliott, Data Engineering Tech Lead and Sam Shuster, Staff Engineer at Edmunds. What is Databricks and How is it Useful for Edmunds? Databricks is a cloud-based, fully managed, big data and analytics processing platform that leverages Apache SparkTM and the JVM. The big selling point of the Databricks Unified...

This is a joint guest community blog by Li Jin at Two Sigma and Kevin Rasmussen at Databricks; they share how to use Flint with Apache Spark. Introduction The volume of data that data scientists face these days increases relentlessly, and we now find that a traditional, single-machine solution is no longer adequate to the demands...

We’re excited to announce Databricks Runtime 4.2, powered by Apache Spark™.  Version 4.2 includes updated Spark internals, new features, and major performance upgrades to Databricks Delta, as well as general quality improvements to the platform.  We are moving quickly toward the Databricks Delta general availability (GA) release and we recommend you upgrade to Databricks Runtime...

With over 4 billion subscribers, Viacom is focused on delivering amazing viewing experiences to their global audiences. Core to this strategy is ensuring petabytes of streaming content is delivered flawlessly through web, mobile and streaming applications. This is critically important during popular live events like the MTV Video Music Awards. Streaming this much video can...

This is a guest post from Chris Robison, Head of Marketing Data Science at Overstock.com. At Overstock.com we’ve never had a problem with a lack of data. At 19 years old, we have one of the most expansive user datasets in all of e-commerce. As Lead Data Scientist in Marketing, I can look back through...

High-profile cybersecurity breaches dominated headlines in 2017. In the first half of the year, over 1.9B records were stolen. That’s more than 7,000 records breached every minute. And the fallout from a single event can be staggering. Customer attrition, negative PR and regulatory fines amount to millions in financial losses. In fact, according to recent...

This is a guest post from Matt Hogan, Sr. Director of Engineering, Analytics and Reporting at McGraw-Hill Education. McGraw-Hill Education is a 129-year-old company that was reborn with the mission of accelerating learning through intuitive and engaging experiences – grounded in research. When we began our journey, our data was locked in silos managed within...

On July 13th, we hosted a live webinar — Accelerate Data Science with Better Data Engineering on Databricks. This webinar focused on the use of PySpark in transforming petabytes of data for ad-hoc analysis and generating downstream queries. In particular, we covered: Transforming TBs of data with RDDs and PySpark responsibly Using the JDBC connector...

This blog post is a joint engineering effort between Shell’s Data Science Team (Wayne W. Jones and Dennis Vallinga) and Databricks (Hossein Falaki). Introduction Apache Spark 2.0 introduced a new family of APIs in SparkR, the R interface to Apache Spark to enable users to parallelize existing R functions. The new dapply, gapply and spark.lapply...

This is a guest blog from EY Advisory Data & Analytics team, who have been working with Sporveien in Oslo building a platform for metro analytics using Apache Spark on Databricks. Sporveien is the operator of the Oslo Metro, a municipally owned Metro network supplying the greater Oslo area with public transportation since 1898. Today,...