Category

Spark

Featured on SearchBusinessAnalytics - Spark Data Streaming Opens Faster Path...

Earlier this month we discussed our implementation of Spark Streaming with SearchBusinessAnalytics.

Sharethrough began using Databricks Inc.‘s cloud implementation of Spark in mid-2013; it currently runs 500 GB of Internet clickstream and ad-visibility data through the stream processing module daily...

Senior Staff Engineer

Featured on Databricks: Sharethrough Uses Spark Streaming...

The kind folks over at Databricks are featuring Sharethrough on their company blog, with an update we’ve provided on our use of Spark Streaming. If you’re interested in the sorts of real-time decisioning challenges we’re solving at scale and how we bring data to bear, have a look!

We found Spark...

Senior Staff Engineer

Spark Summit 2014 Recap

Sharethrough recently participated in Spark Summit 2014. Our own Russell Cardullo spoke on “Spark Streaming for Realtime Auctions.”

Russell offered advice on how we make composable and re-usable Spark code, not to mention some strategies we use for testing our Spark jobs.

We wanted to mention...

Data Engineer
Director of Engineering, Exchange

Sharethrough @ Spark Summit 2014 - Spark Streaming for Realtime Auctions

Join us at Spark Summit 2014, June 30 - July 1st where Sharethrough engineer Russ will be discussing our implementation of Spark Streaming in support of our realtime decisioning engine.

Russ is up on Day 1, Track A (Applications) @ 1:30pm. In the meantime, stop by our friendly booth, say hello...

VP of Engineering

Letting It Flow with Spark Streaming

Today, Russ and Michael of the Sharethrough Engineering team are featured over on the Cloudera blog about our usage of CDH and Spark Streaming. We’ve been using Spark Streaming in production for several months now and took the opportunity to share our learnings with those transitioning over from...

VP of Engineering

Top 3 Troubleshooting Tips To Keep You Sparking

We’ve been experimenting with Spark over the past few weeks. Our two main motivations for doing so were Spark’s excellent support for iterative algorithms and the new Spark streaming features for real-time data processing.

While we found the Spark APIs easy to work with, we did run into a few beginner...

Senior Staff Engineer