Category: AWS

AWS FeedManaging the Evolution of an Amazon Redshift Data Warehouse Using a Declarative Deployment Pipeline By Sean Beath, Manager, Strategy, AI & Transformation – Deloitte AustraliaBy Athar Shah, Director, Strategy, AI & Transformation – Deloitte AustraliaBy Greg Webber, APJC Solutions Architecture Manager (Deloitte) – AWS AustraliaBy Special thanks to Rick Fraser and Avnish Jain, Analytics…

AWS FeedOffset lag metric for Amazon MSK as an event source for Lambda This post written by Adam Wagner, Principal Serverless Solutions Architect. Last year, AWS announced support for Amazon Managed Streaming for Apache Kafka (MSK) and self-managed Apache Kafka clusters as event sources for AWS Lambda. Today, AWS adds a new OffsetLag metric to…

AWS FeedBring Your Amazon SageMaker model into Amazon Redshift for remote inference Amazon Redshift, a fast, fully managed, widely used cloud data warehouse, natively integrates with Amazon SageMaker for machine learning (ML). Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Data analysts and…

AWS FeedAWS Security Profiles: J.D. Bean, Sr. Security Solutions Architect In the week leading up to AWS re:Invent 2021, we’ll share conversations we’ve had with people at AWS who will be presenting, and get a sneak peek at their work. How long have you been at AWS, and what do you do in your current…

AWS FeedProvide data reliability in Amazon Redshift at scale using Great Expectations library Ensuring data reliability is one of the key objectives of maintaining data integrity and is crucial for building data trust across an organization. Data reliability means that the data is complete and accurate. It’s the catalyst for delivering trusted data analytics and…