Data-driven Ad Buying at Scale with Databricks

Inneractive is a mobile ad exchange that optimizes the buying and selling of ad units programmatically, at scale. At the heart of the Inneractive platform is a constant flow of user data amounting to over three billion rows per day and growing. In order to extract insights and value from this data, Inneractive needed the ability to query the data and build machine learning algorithms to improve the bidding outcome while satisfying stringent requirements in delivering value to the users of their platform.

Databricks enables Inneractive to easily scale on-demand to process large volumes of diverse data types more cost efficiently while providing native machine learning capabilities to optimize the ad buying experience for their customers.

Benefits gained:

  • Centralized management for a variety of data accelerated analyses at scale.
  • Ability to independently scale compute and storage on-demand to increase cost efficiency.
  • Enabled data engineers to focus on building high performing machine learning models.

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