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Preview: Amazon Lookout for Metrics, an Anomaly Detection Service for Monitoring the Health of Your Business

We are excited to announce Amazon Lookout for Metrics, a new service that uses machine learning (ML) to detect anomalies in your metrics, helping you proactively monitor the health of your business, diagnose issues, and find opportunities…
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New – Amazon QuickSight Q Answers Natural-Language Questions About Business Data

We launched Amazon QuickSight as the first Business Intelligence (BI) service with Pay-per-Session pricing. Today, we are happy to announce the preview of Amazon QuickSight Q, a Natural Language Query (NLQ) feature powered by machine learning…
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Announcing AWS Glue DataBrew – A Visual Data Preparation Tool That Helps You Clean and Normalize Data Faster

To be able to run analytics, build reports, or apply machine learning, you need to be sure the data you’re using is clean and in the right format. That’s the data preparation step that requires data analysts and data scientists to write…
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New – Export Amazon DynamoDB Table Data to Your Data Lake in Amazon S3, No Code Writing Required

Hundreds of thousands of AWS customers have chosen Amazon DynamoDB for mission-critical workloads since its launch in 2012. DynamoDB is a nonrelational managed database that allows you to store a virtually infinite amount of data and retrieve…
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AWS Glue version 2.0 featuring 10x faster job start times and 1-minute minimum billing duration

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. Glue is “serverless” – you don’t need to provision or manage…
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New – Serverless Streaming ETL with AWS Glue

When you have applications in production, you want to understand what is happening, and how the applications are being used. To analyze data, a first approach is a batch processing model: a set of data is collected over a period of time,…
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New for Amazon Redshift – Data Lake Export and Federated Query

A data warehouse is a database optimized to analyze relational data coming from transactional systems and line of business applications. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to…
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Using Spatial Data with Amazon Redshift

Today, Amazon Redshift announced support for a new native data type called GEOMETRY. This new type enables ingestion, storage, and queries against two-dimensional geographic data, together with the ability to apply spatial functions to…
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New – Using Step Functions to Orchestrate Amazon EMR workloads

AWS Step Functions allows you to add serverless workflow automation to your applications. The steps of your workflow can run anywhere, including in AWS Lambda functions, on Amazon Elastic Compute Cloud (EC2), or on-premises. To simplify…