AWS News Blog

Category: Amazon Redshift

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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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 […]

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Amazon Redshift Update – Next-Generation Compute Instances and Managed, Analytics-Optimized Storage

We launched Amazon Redshift back in 2012 (Amazon Redshift – The New AWS Data Warehouse). With tens of thousands of customers, it is now the world’s most popular data warehouse. Our customers enjoy consistently fast performance, support for complex queries, and transactional capabilities, all with industry-leading price-performance. The original Redshift model establishes a fairly rigid […]

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Using Spatial Data with Amazon Redshift

Today, Amazon Redshift announced support for a new native data type called GEOMETRY. This new type enables ingestion, storage, and queries against two-dimensional geographic data, together with the ability to apply spatial functions to that data. Geographic data (also known as georeferenced data) refers to data that has some association with a location relative to […]

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