The Netflix Data Platform is a constantly evolving, large scale infrastructure running in the (AWS) cloud. This talk will dive into what we’re up to and why. We are especially focused on performance and ease of use. We’ve recently upgraded to Hadoop 2, have partnered with the community developing Pig on Tez, have adopted the Parquet file format, and fully integrated Presto into our stack. We are exploring Spark for streaming, machine learning, and analytic use cases. We continue to add to our big data, open source suite, with our latest contribution Inviso (which provides easy searching and visibility into Hadoop execution and performance). We are also heads down developing a cohesive framework for easy platform interaction (via our Big Data API and Big Data Portal). We’ll talk through these technologies and how they are benefiting the Netflix business. We’ll also dive into how we do things differently at Netflix (vs. most other companies), notably the motivations behind our architecture / approach and the benefits that we (and hopefully you can) achieve.
Kurt leads the Data Platform team at Netflix. His group architects and manages the technical infrastructure underpinning the company’s analytics. The Netflix data infrastructure includes various Big Data technologies (e.g. Hadoop, Hive, and Pig), Netflix open sourced applications and services (e.g. Lipstick and Genie), and traditional BI tools (e.g. Teradata and MicroStrategy).
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