That is why AWS has invested in zero-ETL capabilities like Amazon Aurora ML and Amazon Redshift ML, ... and a data pipeline to ETL data between the relational database and the data warehouse.

AWS has made a big push into data management during re:Invent this week, with the unveiling of DataZone and launch of zero-ETL capabilities in Redshift. But AWS also bolstered its ETL tool with the ...

Krishnamoorthy, who goes by G2, is under no illusions that companies will store all of their data in AWS databases or AWS file systems. He understands that data will exist in silos, in other ...

“We look forward to using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift, which will remove the burden of data pipeline management and maintenance for our engineering team.

Last year, AWS announced two new capabilities—Amazon Aurora zero-ETL integration with Amazon Redshift and Amazon Redshift integration for Apache Spark. In addition, the cloud services provider ...

Similarly, AWS Glue can be used to create a powerful ETL pipeline for the advanced transformation of inbound data which can ultimately store the data in Amazon Redshift or Snowflake data warehouse ...

StreamSets updates ETL to the cloud data pipeline Cofounded by veterans of Informatica, StreamSets is providing a third-party alternative in a landscape populated by cloud provider dataflow services.

Amazon Web Services (AWS) is doubling down on data management and has declared its bold vision to eliminate the need to extract, transform and load (ETL) data from source to data storage systems ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

At AWS re: Invent, Amazon Web Services, Inc., an Amazon.com, Inc. company, today announced new integrations that enable customers to quickly and easily connect and analyze data without building ...