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Texas Rangers data transformation modernizes stadium operations

CIO Business Intelligence

In 2016, Major League Baseball’s Texas Rangers announced it would build a brand-new state-of-the-art stadium in Arlington, Texas. The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated.

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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

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At AstraZeneca, data and AI are more than game changers – they are life changers

CIO Business Intelligence

Four ways to improve data-driven business transformation . Kaur and Dummann offered four pieces of advice to other IT leaders looking to get more value from their data transformation activities: . Learn more about ways to put your data to work on the most scalable, trusted, and secure cloud. . [1]

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Author data integration jobs with an interactive data preparation experience with AWS Glue visual ETL

AWS Big Data

This allows data analysts and data scientists to rapidly construct the necessary data preparation steps to meet their business needs. We use the new data preparation authoring capabilities to create recipes that meet our specific business needs for data transformations.

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Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

DataRobot Blog

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. The first step in building a model that can predict machine failure and even recommend the next best course of action is to aggregate, clean, and prepare data to train against. Native Python Support for Snowpark.