MLB Data Analytics and Technology

The video explores the integration of data analytics in Major League Baseball (MLB) with the help of Google Cloud. It discusses the historical connection between baseball and statistics, the technology used to collect and process vast amounts of game data, and how this data is utilized for real-time analysis and fan engagement. The video also highlights the strategic advantages for teams and broadcasters and concludes with the potential future impact of data analytics in sports.

What has been a significant challenge in the history of baseball statistics?

• Managing team finances

• Answering deep questions intuitively

• Recording game scores

• Tracking player injuries

What is the main goal of the MLB and Google Cloud collaboration?

• To enhance data capabilities on and off the field

• To improve player salaries

• To reduce game duration

• To increase ticket sales

How many unique data points are tracked in a single MLB game?

• 10 million

• 15 million

• 25 million

• 30 million

What is the MLB Film Room used for?

• Tracking player contracts

• Marrying data to video

• Scheduling games

• Analyzing fan attendance

Which technology is used to process data on the field in MLB?

• AWS Lambda

• Anthos and Kubernetes

• Azure Functions

• Docker

What technology is used to store and query large amounts of data in MLB?

• MongoDB

• MySQL

• Bigtable

• PostgreSQL

What is the purpose of the FieldVision project?

• To track player salaries

• To provide a constant stream of post tracking data

• To manage team schedules

• To analyze fan demographics

Which tool is used to process data for broadcasters and APIs?

• Hadoop

• Flink

• Dataflow

• Spark

How do MLB teams use data in their operations?

• For fan engagement

• For stadium maintenance

• For marketing campaigns

• For reviewing performance and player acquisitions

What does Statcast allow analysts to measure?

• Weather conditions

• Player salaries

• Game attendance

• Everything on the baseball field