Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference

From application to platform: The strategic shift in approach toward data analytics

Sarang Anajwala (Autodesk)
9:30am–10:00am Tuesday, December 6, 2016
Location: 308/309 Level: Intermediate
Average rating: ***..
(3.00, 4 ratings)

Prerequisite Knowledge

  • Strong conceptual knowledge of the big data landscape
  • A high-level familiarity with various big data technologies (Hadoop, Spark, Mesos, etc.)

What you'll learn

  • Explore Autodesk's holistic approach toward data analytics
  • Learn how Autodesk built its platform to support various user personas in order to institutionalize a data-driven approach to decision making


Autodesk has been using big data technologies for a few years now. Initially, the focus was on using big data to process logs to understand product usage, and usage analytics were enabled for quite a few products and services. Apart from these, a few product teams had their own little data analytics infrastructure.

Obviously, Autodesk’s technology stack has also matured over the years. With experience—along with the need to scale the operations for data analytics—Autodesk has graduated to a comprehensive data platform that not only covers its requirements for usage analytics but also democratizes analytics for teams at Autodesk to help them with their data exploration as well as with building data products.

Sarang Anajwala discusses Autodesk’s next-generation data platform and its transition from an application for usage analytics to a platform for data analytics that provides capabilities like self-service ETLs, data exploration, multitenant data apps, data products, and infrastructure and interfaces to build data products. This versatile platform supports use cases right from dashboards to data science, helping the move into a data-centric future.

Photo of Sarang Anajwala

Sarang Anajwala


Sarang Anajwala is technical product manager for Autodesk’s next-generation data platform, where he focuses on building the self-service platform for data analysis and data products. Sarang has extensive experience in data architecture and data strategy. Previously, he was an architect building robust big data systems, including a next-generation platform for contextual communications and a data platform for the IoT. He has filed three patents for his innovations in the contextual communications and adaptive designs spaces.