Apache Airflow is a great data pipeline as code, but having most of its contributors work for Astronomer is another example of a problem with open source. Topics Spotlight: AI-ready data centers ...

Benefits of AWS Data Pipeline. As mentioned earlier, many of the benefits of using AWS Data Pipeline have to do with how it is not dependent on the infrastructure, where the data is located in a ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

AWS is also launching a preview of Glue Data Quality, a new data observability offering that will automatically measure, monitor, and manage the quality in data residing in a lake or in an ETL data ...

Getting data to and from different systems is often the domain of data orchestration. It is among the most widely used tools in the open-source Apache Airflow technology, originally created by ...

Amazon MWAA makes it easy for customers to combine data using any of Apache Airflow’s integrations, including AWS services and popular third-party tools like Apache Hadoop, Presto, Hive, and ...

Notably, he was able to optimize the data processing pipeline, reducing processing time by 40% and cutting AWS costs by 25%. These enhancements directly led to cost reduction and improved performance.

SnapGPT also documents both new and existing pipelines, generates sample data, produces SQL queries, expressions, mappings, and more. Following the release of SnapGPT, the company added support for ...

Cloud giant Snowflake has agreed to acquire Datavolo, a data pipeline management company, for an undisclosed sum. Snowflake unveiled the deal at the close of the market bell on Wednesday, when it ...

On the data analytics front, the company ingests 92 million events per minute (or about 54 billion events per day) from Fortnite clients into the AWS using Amazon’s Kinesis Streams products. The ...