AWS Big Data Blog

The following diagram depicts the cloud DW benchmark data model used.

Sharing Amazon Redshift data securely across Amazon Redshift clusters for workload isolation

Amazon Redshift data sharing allows for a secure and easy way to share live data for read purposes across Amazon Redshift clusters. Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. It allows […]

The following diagram illustrates the solution architecture.

Accelerating Amazon Redshift federated query to Amazon Aurora MySQL with AWS CloudFormation

Amazon Redshift federated query allows you to combine data from one or more Amazon Relational Database Service (Amazon RDS) for MySQL and Amazon Aurora MySQL databases with data already in Amazon Redshift. You can also combine such data with data in an Amazon Simple Storage Service (Amazon S3) data lake. This post shows you how […]

New charts, formatting, and layout options in Amazon QuickSight

Amazon QuickSight is a fast, cloud-powered business intelligence (BI) service that makes it easy to create and deliver insights to everyone in your organization. In this post, we explore how authors of QuickSight dashboards can use some of the new chart types, layout options, and dashboard formatting controls to deliver dashboards that intuitively deliver insights […]

Boosting your data lake insights using the Amazon Athena Query Federation SDK

Today’s modern applications use multiple purpose-built database engines, including relational, key-value, document, and in-memory databases. This purpose-built approach improves the way applications use data by providing better performance and reducing cost. However, the approach raises some challenges for data teams that need to provide a holistic view on top of these database engines, and especially […]

Announcing Amazon Redshift federated querying to Amazon Aurora MySQL and Amazon RDS for MySQL

Since we launched Amazon Redshift as a cloud data warehouse service more than seven years ago, tens of thousands of customers have built analytics workloads using it. We’re always listening to your feedback and, in April 2020, we announced general availability for federated querying to Amazon Aurora PostgreSQL and Amazon Relational Database Service (Amazon RDS) […]

Building high-quality benchmark tests for Amazon Redshift using SQLWorkbench and psql

In the introductory post of this series, we discussed benchmarking benefits and best practices common across different open-source benchmarking tools. In this post, we discuss benchmarking Amazon Redshift with the SQLWorkbench and psql open-source tools. Let’s first start with a quick review of the introductory installment. When you use Amazon Redshift to scale compute and […]

Getting the most out of your analytics stack with Amazon Redshift

Analytics environments today have seen an exponential growth in the volume of data being stored. In addition, analytics use cases have expanded, and data users want access to all their data as soon as possible. The challenge for IT organizations is how to scale your infrastructure, manage performance, and optimize for cost while meeting these […]

Working with timestamp with time zone in your Amazon S3-based data lake

With a data lake built on Amazon Simple Storage Service (Amazon S3), you can use the purpose-built analytics services for a range of use cases, from analyzing petabyte-scale datasets to querying the metadata of a single object. AWS analytics services support open file formats such as Parquet, ORC, JSON, Avro, CSV, and more, so it’s […]

Using pipes to explore, discover and find data in Amazon OpenSearch Service with Piped Processing Language

System developers, DevOps engineers, support engineers, site reliability engineers (SREs), and IT managers make sure that the underlying infrastructure powering the applications and systems within an organization is available, reliable, secure, and scalable. To achieve these goals, you need to perform a fast and deep analysis on the underlying logs, monitoring, and observability data. Amazon […]

Harness the power of your data with AWS Analytics

2020 has reminded us of the need to be agile in the face of constant and sudden change. Every customer I’ve spoken to this year has had to do things differently because of the pandemic. Some are focusing on driving greater efficiency in their operations and others are experiencing a massive amount of growth. Across […]