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.
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.
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