AWS Big Data Blog

Find the best Amazon Redshift configuration for your workload using Redshift Test Drive

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 analytics workloads. With the launch of Amazon Redshift Serverless and the various deployment options Amazon Redshift provides (such as instance types and cluster sizes), customers […]

Near-real-time analytics using Amazon Redshift streaming ingestion with Amazon Kinesis Data Streams and Amazon DynamoDB

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse. You can run and […]

Improved scalability and resiliency for Amazon EMR on EC2 clusters

Amazon EMR is the cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. Customers asked us for features that would further improve the resiliency and scalability of their Amazon EMR on EC2 clusters, including their large, long-running clusters. We have […]

End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue, a serverless data integration service, in order to make data-driven business decisions. To grow the power of data at scale for the long term, it’s highly recommended to design an end-to-end development lifecycle […]

Build data integration jobs with AI companion on AWS Glue Studio notebook powered by Amazon CodeWhisperer

Data is essential for businesses to make informed decisions, improve operations, and innovate. Integrating data from different sources can be a complex and time-consuming process. AWS offers AWS Glue to help you integrate your data from multiple sources on serverless infrastructure for analysis, machine learning (ML), and application development. AWS Glue provides different authoring experiences […]

Introducing the vector engine for Amazon OpenSearch Serverless, now in preview

We are pleased to announce the preview release of the vector engine for Amazon OpenSearch Serverless. The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having […]

Alcion supports their multi-tenant platform with Amazon OpenSearch Serverless

This is a guest blog post co-written with Zack Rossman from Alcion. Alcion, a security-first, AI-driven backup-as-a-service (BaaS) platform, helps Microsoft 365 administrators quickly and intuitively protect data from cyber threats and accidental data loss. In the event of data loss, Alcion customers need to search metadata for the backed-up items (files, emails, contacts, events, […]

Configure monitoring, limits, and alarms in Amazon Redshift Serverless to keep costs predictable

Amazon Redshift Serverless makes it simple to run and scale analytics in seconds. It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business […]

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 […]