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.
Scott Hoover
Data Scientist

Daniel Mintz
Chief Data Evangelist