As far as NoSQL and in-memory, AWS’s standpoint is that one size does not fit all. Redshift aims to be a great tool for data warehousing while offering high levels of granularity for other AWS ...

Amazon Web Services Inc. has announced the public preview of AWS Data Exchange for Amazon Redshift, with an aim to make it simpler for customers to find third-party data and query it using its ...

Customers typically load Redshift by moving data from their Simple Storage Service (S3) buckets into the data warehouse, which powers traditional business intelligence and analytics workloads that ...

Amazon has announced that its cloud-based storage service, Amazon Web Services (AWS), is rolling out a “limited preview” of Amazon Redshift in cahoots with a handful of big-name beta ...

Continuing to build on its efforts toward zero-ETL for data warehousing services, AWS at its ongoing re:Invent 2023 conference, announced new Amazon RedShift integrations with Amazon Aurora ...

Those with a background in SQL will find it easy to harness PostgreSQL to work with data. Both data warehouse platforms offer online support, but Snowflake also provides 24/7 live support.

Korean Air plans to leverage Amazon Simple Storage Services (Amazon S3) and AWS data warehousing and analytics services, such as Amazon Redshift and Amazon Athena, for its data lake project in ...

SageMaker Lakehouse combines data in S3 data lakes and Redshift (AWS data warehouse) so it can be queried with SQL as an Apache Iceberg database using tools including AWS Athena or Apache Spark ...

In addition, Carrier will use AWS data warehouse, analytics, and machine learning (ML) services to identify efficiencies in its manufacturing processes and supply chains, and AWS Internet of ...