Extracting valuable insights from massive datasets is essential for businesses striving to gain a competitive edge. Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use… Article Source https://aws.amazon.com/blogs/big-data/enriching-metadata-for-accurate-text-to-sql-generation-for-amazon-athena/
Today, AWS announces the general availability of AWS Glue Data Catalog views for Athena and Redshift. AWS Glue Data Catalog views are a new capability that allows customers to create, grant permissions on, and query multi-engine SQL… Article Source https://aws.amazon.com/about-aws/whats-new/2024/08/aws-glue-data-catalog-views-athena-redshift/
Amazon Athena is a serverless data analytics tool introduced by AWS to provide scalable and fast results. While it is a cost-effective option, poor query performance can impact applications and user experience. To optimize Athena, consider data file formats, sizes, and compression methods. Partitioning data can enhance performance by reducing the number of queries. Review … Read more