AWS News Blog

Category: Amazon Redshift

AWS Week In Review – July 18, 2022

Last week, AWS Summit New York was held in person at the Javits Center with thousands of attendees and over 100 sponsors and partners. During the keynote, Martin Beeby, AWS Principal Developer Advocate, talked about how innovations in cloud infrastructure enable customers to adapt to challenges and seize new opportunities. It included Liz Fong-Jones‘s great […]

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Console screenshot.

Amazon Redshift Serverless – Now Generally Available with New Capabilities

Last year at re:Invent, we introduced the preview of Amazon Redshift Serverless, a serverless option of Amazon Redshift that lets you analyze data at any scale without having to manage data warehouse infrastructure. You just need to load and query your data, and you pay only for what you use. This allows more companies to […]

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AWS Week In Review – May 23, 2022

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! This is the right place to quickly learn about recent AWS news from last week, in just about five minutes or less. This week, I have collected a couple of […]

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Console screenshot.

Introducing Amazon Redshift Serverless – Run Analytics At Any Scale Without Having to Manage Data Warehouse Infrastructure

We’re seeing the use of data analytics expanding among new audiences within organizations, for example with users like developers and line of business analysts who don’t have the expertise or the time to manage a traditional data warehouse. Also, some customers have variable workloads with unpredictable spikes, and it can be very difficult for them […]

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Introducing Amazon Redshift Query Editor V2, a Free Web-based Query Authoring Tool for Data Analysts

When it comes to manipulating and analyzing relational data, Structured Query Language (SQL) has been an international standard since 1986, a couple of years before I was born. And yet, it sometimes takes hours to get access to a new database or data warehouse, configure credentials or single sign-on, download and install multiple desktop libraries […]

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Architectural diagram.

Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data

With Amazon Redshift, you can use SQL to query and combine exabytes of structured and semi-structured data across your data warehouse, operational databases, and data lake. Now that AQUA (Advanced Query Accelerator) is generally available, you can improve the performance of your queries by up to 10 times with no additional costs and no code […]

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Materialize your Amazon Redshift Views to Speed Up Query Execution

At AWS, we take pride in building state of the art virtualization technologies to simplify the management and access to cloud services such as networks, computing resources or object storage. In a Relational Database Management Systems (RDBMS), a view is virtualization applied to tables : it is a virtual table representing the result of a […]

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