Simplify Machine Learning on Spark with Databricks

As many data scientists and engineers can attest, the majority of the time is spent not on the models themselves but on the supporting infrastructure.  Key issues include on the ability to easily visualize, share, deploy, and schedule jobs.  More disconcerting is the need for data engineers to re-implement the models developed by data scientists…

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Join the WearHacks experience!

If you are interested in learning more about wearables, check out – one of the fastest growing communities empowering hackers on wearable technology.   Last year, WearHacks Montréal was the biggest wearable hackathon in North America.  In 2015, there are already 13 cities hosting hackathons with mentors, industry experts, and access to technology so you can…

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Spark Ecosystem & Spark Streaming Fundamentals

This is a re-post from Spark Ecosystem & Spark Streaming Fundamentals post on the Concur blog. For the March 2015 Seattle Spark Meetup group convened for our monthly meeting. It was a special meeting since it was actually a joint Seattle Spark Meetup and Pacific Northwest Cloudera User Group session held at the Concur Technologies…

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Feb Spark Events: Data Discovery, Dato & Spark, and Spark Camp

An awesomely busy February coming up for those whom are interested in all things Apache Spark! Concur Discovers the True Value of Data A joint Cloudera and Concur webinar on February 2nd, 2015 where we will discuss the benefits of utilizing CDH5 within Concur’s modern Big Data architecture (including Spark of course!) Better Together: Dato…

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Quick Tip: Dropping Phantom Hive Databases (e.g. CDH5 Canary test dB)

While I’m a big fan of CDH5 and Hue – sometimes I will see some funkiness that’s a tad irritating.  Specifically, there is a database with a name similar to cloudera_manager_metastore_canary_test_db_hive_hivemetastore_$guid$_2014_10_06_11_20_41 Even more irritating there is a table called cm_test_table which cannot be deleted (or renamed or even described). hive> describe cm_test_table; FAILED: SemanticException [Error 10001]:…

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