AWS Big Data Blog

Category: Amazon Redshift

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 […]

Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton's Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift.

Peloton embraces Amazon Redshift to unlock the power of data during changing times

If you want to learn how to make the most of your company’s data, especially during today’s uncertain times, don’t miss AWS Data Insights Day on May 24, 2023. Learn more. Credit: Phil GoldsteinJerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using […]

Single sign-on with Amazon Redshift Serverless with Okta using Amazon Redshift Query Editor v2 and third-party SQL clients

June 2023: This post was reviewed and updated to support MFA setup instructions. Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. With Redshift Serverless, users such as data analysts, developers, business professionals, and data scientists can get insights from […]

Data load made easy and secure in Amazon Redshift using Query Editor V2

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently and securely. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses. Amazon Redshift provides a web-based Query Editor V2 in […]

Use the Amazon Redshift Data API to interact with Amazon Redshift Serverless

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per […]

Exploring new ETL and ELT capabilities for Amazon Redshift from the AWS Glue Studio visual editor

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. In particular, we have observed an increasing number of customers who combine and integrate their data into an Amazon Redshift data warehouse to analyze huge data at scale and […]

Get maximum value out of your cloud data warehouse with Amazon Redshift

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. Data creation, consumption, and storage are predicted to grow to 175 zettabytes by 2025, forecasted by the 2022 IDC Global DataSphere report. As data […]

Architecture Diagram

Implement column-level encryption to protect sensitive data in Amazon Redshift with AWS Glue and AWS Lambda user-defined functions

Amazon Redshift is a massively parallel processing (MPP), fully managed petabyte-scale data warehouse that makes it simple and cost-effective to analyze all your data using existing business intelligence tools. When businesses are modernizing their data warehousing solutions to Amazon Redshift, implementing additional data protection mechanisms for sensitive data, such as personally identifiable information (PII) or […]

Generic orchestration framework for data warehousing workloads using Amazon Redshift RSQL

Tens of thousands of customers run business-critical workloads on Amazon Redshift, AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. You can also integrate AWS services like Amazon EMR, Amazon Athena, Amazon SageMaker, AWS […]