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 ...

New zero-ETL integrations ... analytics services from AWS to support a wide range of workloads, including SQL analytics, search analytics, big data processing, and streaming analytics.

A startup named Hydrolix has arrived on the big data ... data ingestion exceeding 1TB per day. While the previous NoSQL-based log data management system required separate storage tiers for cold, warm, ...

Meanwhile, AWS ... bringing streaming and data at rest together is hardly new; it was spelled out years ago as the Kappa architecture, and there have been isolated implementations on big data ...

Both Databricks and AWS Redshift are well ... which is aimed more at complex data engineering, ETL (extract, transform, and load), data science, and streaming workloads. But Redshift also ...

The emergence of real-time streaming ... data, monitor pipelines, and review snapshots of data. It shouldn't be surprising that at first glance, Data Collector looks like a visual ETL tool ...

Continuing to build on its efforts toward zero-ETL for data warehousing services, AWS announced new Amazon RedShift integrations with Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon RDS for ...

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract ...

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 ...

Amazon Web Services (AWS) has updated its Elastic Map Reduce platform with a new version of Hadoop and updated support for its data analytics ... is often used for ETL (Extract / Transform ...