Amazon is making it easier to analyze transactional data held in its Aurora PostgreSQL and DynamoDB databases by avoiding the need for ETL routines when moving data from them into its Redshift data warehouse. Aurora… Article Source https://blocksandfiles.com/2024/10/16/aws-zeroes-out-etl-for-shifting-aurora-and-dynamodb-data-into-redshift/
Amazon DocumentDB now offers zero-ETL integration with Amazon OpenSearch Service, allowing customers to access advanced search features like fuzzy search, cross-collection search, and multilingual search on their Amazon DocumentDB documents through the OpenSearch API. This integration eliminates the need for customers to write custom code for data extraction, transformation, and loading, making data synchronization a … Read more
AWS has announced the general availability of Amazon OpenSearch Service’s zero-ETL integration with Amazon S3, enabling customers to easily query operational logs in S3 data lakes without the need to switch between tools. This new integration allows customers to access out-of-the-box dashboards for AWS record types like VPC Flow, WAF, and Elastic Load Balancer, making … Read more
HCLTech ha presentado la solución de “Ingestión Inteligente”, una solución impulsada por servicios nativos de AWS que simplifica el proceso de ingesta de datos. En un mundo impulsado por los datos, esta solución aborda la creciente complejidad de la ingesta de datos al automatizar el proceso de ETL y proporcionar flujos de trabajo reutilizables para … Read more
Amazon OpenSearch Service has announced the availability of zero-ETL integration with Amazon Simple Storage Service (Amazon S3) for domains running 2.13 and above. This integration allows customers to query operational logs in Amazon S3 without switching between tools. Users will be able to perform forensic analysis of operational and security events by evaluating multiple data … Read more
Data integration pipelines are crucial for organizations to extract and transform data while ensuring high data quality for accurate business decisions. However, fixed data quality rules are often outdated when business environments change, leading to poor quality data. For example, a data engineer set a rule that daily sales must exceed $1 million, but after … Read more