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Analyzing Log Data with Spark & Looker, Webinar May 18


Learn how to set up a modern pipeline that collects, processes, and analyzes high-volume, machine-generated data. We’ll talk about popular collection mechanisms, do a hands-on log-parsing example in Spark, and discuss how to use Looker to get insights from event data.



Looker Spark Webinar 2016 May 18

Analyzing Log Data with Spark & Looker.

Wednesday, May 18, 10am PT; 1pm ET

Machines are constantly generating data. Unlocking the value of log files has historically lived in the realm of batch processing. However, emerging technologies have dramatically reduced the latency of event pipelines and have improved interactive analysis and querying.

In this webinar, we'll discuss the specifics of setting up a modern pipeline that collects, processes, and analyzes high-volume, machine-generated data. We’ll talk about popular collection mechanisms as well as go through a hands-on log-parsing example in Spark. We'll then discuss how to utilize Looker to glean insights from event data.

Register at discover.looker.com/analyzing-log-data?utm_campaign=701E00000011kIj


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