Category: Analytics

Data is a strategic asset. Getting timely value from data requires high-performance systems that can deliver performance at scale while keeping costs low. Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. We continue to add new capabilities to […]

In this post, we walk you through how to set up automatic notifications of query monitoring rule (QMR) violations in Amazon Redshift to a Slack channel, so that Amazon Redshift users can take timely action. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze your […]

July 2023: This post was reviewed for accuracy. 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. This requires you to seamlessly share and consume live, consistent data as a single source of truth without copying the data, […]

July 2023: This post was reviewed for accuracy. AWS Glue DataBrew offers over 250 pre-built transformations to automate data preparation tasks (such as filtering anomalies, standardizing formats, and correcting invalid values) that would otherwise require days or weeks writing hand-coded transformations. You can now write cleaned and normalized data directly into JDBC-supported databases and data […]

Apr 2023: This post was reviewed and updated with enhanced support for Glue 4.0 Streaming jobs. Jan 2023: This post was reviewed and updated with enhanced support for Glue 3.0 Streaming jobs, ARM64, and Glue 4.0. AWS Glue is a fully managed serverless service that allows you to process data coming through different data sources […]

June 2023: This post was reviewed and updated for accuracy. Customers are increasingly building data lakes to store data at massive scale in the cloud. It’s common to use distributed computing engines, cloud-native databases, and data warehouses when you want to process and analyze your data in data lakes. Amazon EMR and AWS Glue are […]

Personally identifiable information (PII) data handling is a common requirement when operating a data lake at scale. Businesses often need to mitigate the risk of exposing PII data to the data science team while not hindering the productivity of the team to get to the data they need in order to generate valuable data insights. […]

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Amazon Kinesis Data Analytics Studio makes it easy for customers to analyze streaming data in real time, as well as build stream processing applications powered by Apache […]

July 2023: This post was reviewed for accuracy. 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. This enables you to use your data to acquire new insights for your business and customers. […]

June 2023: This post was reviewed and updated for accuracy. Amazon Redshift accelerates your time to insights with fast, easy, and secure cloud data warehousing at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries. The new Amazon Redshift native identity provider authentication simplifies […]