Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Jitender Aswani

Jitender Aswani
Leader, Cloud Infrastructure and Security Data Engineering, Netflix

Jitender Aswani supports the infrastructure and security data engineering teams at Netflix. His team designs, builds, and deploys scalable big data architecture and solutions to enable business and operations teams to achieve consistent capacity, reliability, and security gains. Jitender is a lifelong student of smart data products and data science solutions that push organizations to make data-inspired decisions and adopt analytics-first approaches.

Sessions

11:00am–11:40am Wednesday, March 27, 2019
Scaling data lineage at Netflix to improve data infrastructure reliability and efficiency
Data Engineering & Architecture
 Location: 2001
Secondary topics:  Data Integration and Data Pipelines, Data preparation, data governance, and data lineage, Media, Marketing, Advertising
Jitender Aswani (Netflix), Di Lin (Netflix), Girish Lingappa (Netflix)
Average rating: ***..
(3.40, 15 ratings)
Hundreds of thousands of ETL pipelines ingest over a trillion events daily to populate millions of data tables downstream at Netflix. Jitender Aswani, Girish Lingappa, and Di Lin discuss Netflix’s internal data lineage service, which was essential for enhancing platform’s reliability, increasing trust in data, and improving data infrastructure efficiency. Read more.
11:50am–12:30pm Thursday, March 28, 2019
How Netflix measures app performance on 250 million unique devices across 190 countries
Data Engineering & Architecture
 Location: 2006
Secondary topics:  Data Platforms, Media, Marketing, Advertising, Streaming, realtime analytics, and IoT
Vivek Pasari (Netflix), Jitender Aswani (Netflix)
Average rating: ***..
(3.14, 7 ratings)
Netflix has over 125 million members spread across 191 countries. Each day its members interact with its client applications on 250 million+ devices under highly variable network conditions. These interactions result in over 200 billion daily data points. Vivek Pasari dives into the data engineering and architecture that enables application performance measurement at this scale. Read more.