AWS Big Data Blog

Category: Amazon Redshift

Enable data analytics with Talend and Amazon Redshift Serverless

This is a guest post co-written with Cameron Davie from Talend. Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. The integration of Talend Cloud and Talend Stitch with Amazon […]

Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. Many organizations have a distributed tools and infrastructure across various business units. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture […]

Dimensional modeling in Amazon Redshift

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift […]

Configure end-to-end data pipelines with Etleap, Amazon Redshift, and dbt

This blog post is co-written with Zygimantas Koncius from Etleap. Organizations use their data to extract valuable insights and drive informed business decisions. With a wide array of data sources, including transactional databases, log files, and event streams, you need a simple-to-use solution capable of efficiently ingesting and transforming large volumes of data in real […]

Centralize near-real-time governance through alerts on Amazon Redshift data warehouses for sensitive queries

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers. In many organizations, one or multiple Amazon Redshift data warehouses […]

Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

Amazon Aurora zero-ETL integration with Amazon Redshift was announced at AWS re:Invent 2022 and is now available in public preview for Amazon Aurora MySQL-Compatible Edition 3 (compatible with MySQL 8.0) in regions us-east-1, us-east-2, us-west-2, ap-northeast-1 and eu-west-1. For more details, refer to the What’s New Post. In this post, we provide step-by-step guidance on […]

Enable business users to analyze large datasets in your data lake with Amazon QuickSight

This blog post is co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. To enable this transformation […]

Accelerate onboarding and seamless integration with ThoughtSpot using Amazon Redshift partner integration

Amazon Redshift is a fast, petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. You can […]

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. It’s used by thousands of customers for mission-critical workloads. Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional […]

Migrate from Google BigQuery to Amazon Redshift using AWS Glue and Custom Auto Loader Framework

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. Customers are looking for tools that make it easier to migrate from other data warehouses, such as Google BigQuery, to Amazon Redshift to […]