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Rapid Data Analytics @ Netflix

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Subash D.
Rapid Data Analytics @ Netflix

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In conjuction with TeamOne Advertising, The LA Big Data Users Group invites you to a talk by Netflix

Presentation Synopsis

At Netflix, we've spent a lot of time thinking about how we can make our analytics group move quickly. Netflix's Data Engineering & Analytics organization embraces the company's culture of "Freedom & Responsibility".

How does a company with a $40 billion market cap and $6 billion in annual revenue keep their data teams moving with the agility of a tiny company?

How do hundreds of data engineers and scientists make the best decisions for their projects independently, without the analytics environment devolving into chaos?

We'll talk about how Netflix equips its business intelligence and data engineers with:

the freedom to leverage cloud-based data tools - Spark, Presto, Redshift, Tableau and others - in ways that solve our most difficult data problems

the freedom to find and introduce right software for the job - even if it isn't used anywhere else in-house

the freedom to create and drop new tables in production without approval

the freedom to choose when a question is a one-off, and when a question is asked often enough to require a self-service tool

the freedom to retire analytics and data processes whose value doesn't justify their support costs

Speaker Bios

Monisha Kanoth is a Senior Data Architect at Netflix, and was one of the founding members of the current streaming Content Analytics team. She previously worked as a big data lead at Convertro (acquired by AOL) and as a data warehouse lead at MySpace.

Jason Flittner is a Senior Business Intelligence Engineer at Netflix, focusing on data transformation, analysis, and visualization as part of the Content Data Engineering & Analytics team. He previously led the EC2 Business Intelligence team at Amazon Web Services and was a business intelligence engineer with Cisco.

Chris Stephens is a Senior Data Engineer at Netflix. He previously served as the CTO at Deep 6 Analytics, a machine learning & content analytics company in Los Angeles, and on the data warehouse teams at the FOX Audience Network and Anheuser-Busch.

Parking:-

Free parking is available on the streets behind Home Depot. Please do not park in the parking complex. No validation will be provided.

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