Processing game data took hours. A serverless pipeline now executes 15,000 daily steps in minutes, enabling real-time coaching decisions.
One of Major League Baseball’s oldest franchises faced a 100x increase in data complexity from IoT devices tracking player performance, in-stadium activity, and fan engagement.
Processing billions of rows often took hours or days on legacy infrastructure, delaying critical feedback loops for players and coaches. Engineering...
“A lot of the stuff we were doing before was just troubleshooting issues like missing rows or unprocessed data. We’d spend hours just fixing those problems instead of actually driving insights or improving performance. Our team couldn’t keep up with the increasing volume and variety of data, and this manual approach left us at a disadvantage, especially with the demand for real-time insights in a sport that moves as fast as baseball.”
Professional baseball team competing in Major League Baseball's National League.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
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