July 6, 2023, 9:27 p.m. | Mark Albertson

Big Data – SiliconANGLE siliconangle.com


During the course of a Major League Baseball game, there will inevitably be a moment when a fielder examines the inside of his cap. He’s not wondering about the fit, rather he’s checking a sophisticated data report prepared by the team’s analytics staff. “If you actually watch a broadcast, you may see a player take […]

The post Texas Rangers baseball team turns to Databricks for channeling unstructured data appeared first on SiliconANGLE.

alexander booth analytics artificial intelligence baseball big data broadcast cap course cube event coverage data data analytics databricks databricks23eventpage databricks data + ai summit databrickssummit data innovation data lakehouse game generation ai inside large language model major major league baseball report staff team texas texas rangers thecube unstructured unstructured data

More from siliconangle.com / Big Data – SiliconANGLE

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Field Sample Specialist (Air Sampling) - Eurofins Environment Testing – Pueblo, CO

@ Eurofins | Pueblo, CO, United States

Camera Perception Engineer

@ Meta | Sunnyvale, CA