AWS News Blog
Category: Amazon Redshift
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 […]
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 […]
New – AWS Data Exchange for Amazon Redshift
Back in 2019 I told you about AWS Data Exchange and showed you how to Find, Subscribe To, and Use Data Products. Today, you can choose from over 3600 data products in ten categories: In my introductory post I showed you how could subscribe to data products and then download the data sets into an […]
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 […]
Cross-Account Data Sharing for Amazon Redshift
To be successful in today’s fast-moving world, businesses need to analyze data quickly and take meaningful action. Many of our customers embrace this concept to become data-driven organizations. Data-driven organizations treat data as an asset and use it to improve their insights and make better decisions. They unleash the power of data by using secure […]
AQUA (Advanced Query Accelerator) – A Speed Boost for Your Amazon Redshift Queries
Amazon Redshift already provides up to 3x better price-performance at any scale than any other cloud data warehouse. We do this by designing our own hardware and by using Machine Learning (ML). For example, we launched the SSD-based RA3 nodes for Amazon Redshift at the end of 2019 (Amazon Redshift Update – Next-Generation Compute Instances […]
New for Amazon Redshift – Data Lake Export and Federated Query
A data warehouse is a database optimized to analyze relational data coming from transactional systems and line of business applications. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze data using standard SQL and existing Business Intelligence (BI) tools. To get information from unstructured data that would […]
AWS Lake Formation – Now Generally Available
As soon as companies started to have data in digital format, it was possible for them to build a data warehouse, collecting data from their operational systems, such as Customer relationship management (CRM) and Enterprise resource planning (ERP) systems, and use this information to support their business decisions. The reduction in costs of storage, together […]