AWS Big Data Blog
Category: Amazon Redshift
Scale read and write workloads with Amazon Redshift
Amazon Redshift is a fast, fully managed, petabyte-scale cloud data warehouse that enables you to analyze large datasets using standard SQL. The concurrency scaling feature in Amazon Redshift automatically adds and removes capacity by adding concurrency scaling to handle demands from thousands of concurrent users, thereby providing consistent SLAs for unpredictable and spiky workloads such […]
Migrate a large data warehouse from Greenplum to Amazon Redshift using AWS SCT – Part 3
In this third post of a multi-part series, we explore some of the edge cases in migrating a large data warehouse from Greenplum to Amazon Redshift using AWS Schema Conversion Tool (AWS SCT) and how to handle these challenges. Challenges include how best to use virtual partitioning, edge cases for numeric and character fields, and […]
How Blueshift integrated their customer data environment with Amazon Redshift to unify and activate customer data for marketing
This post was co-written with Vijay Chitoor, Co-Founder & CEO, and Mehul Shah, Co-Founder and CTO from the Blueshift team, as the lead authors. Blueshift is a San Francisco-based startup that helps marketers deliver exceptional customer experiences on every channel, delivering relevant personalized marketing. Blueshift’s SmartHub Customer Data Platform (CDP) empowers marketing teams to activate […]
How dynamic data masking support in Amazon Redshift helps achieve data privacy and compliance
Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price–performance. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift. Dynamic data masking (DDM) support in Amazon Redshift […]
Centrally manage access and permissions for Amazon Redshift data sharing with AWS Lake Formation
Today’s global, 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. Amazon Redshift data sharing allows you to securely share live, transactionally consistent data in one Amazon Redshift data warehouse with another Amazon Redshift data warehouse within the same AWS […]
Simplify data loading on the Amazon Redshift console with Informatica Data Loader
Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price–performance. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Data engineers, data analysts, and data scientists want to use this data to power analytics workloads such as business intelligence (BI), predictive […]
Implement row-level access control in a multi-tenant environment with Amazon Redshift
This is a guest post co-written with Siva Bangaru and Leon Liu from ADP. ADP helps organizations of all types and sizes by providing human capital management (HCM) solutions that unite HR, payroll, talent, time, tax, and benefits administration. ADP is a leader in business outsourcing services, analytics, and compliance expertise. ADP’s unmatched experience, deep […]
How Etleap and Amazon Redshift Serverless optimize costs for ETL
Amazon Redshift Serverless lets you avoid managing infrastructure while only paying for what you use. Etleap provides data integration software that is natively built on AWS. It’s an AWS Advanced Technology Partner with the AWS Data & Analytics Competency and Amazon Redshift Service Ready designation. In this post, we share how you can minimize the […]
Get started with data integration from Amazon S3 to Amazon Redshift using AWS Glue interactive sessions
Organizations are placing a high priority on data integration, especially to support analytics, machine learning (ML), business intelligence (BI), and application development initiatives. Data is growing exponentially and is generated by increasingly diverse data sources. Data integration becomes challenging when processing data at scale and the inherent heavy lifting associated with infrastructure required to manage […]
Share and publish your Snowflake data to AWS Data Exchange using Amazon Redshift data sharing
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Today, tens of thousands of AWS customers—from Fortune 500 companies, startups, and everything in between—use Amazon Redshift to run mission-critical business intelligence (BI) dashboards, […]