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Introducing Amazon Redshift Query Editor V2, a Free Web-based Query Authoring Tool for Data Analysts

When it comes to manipulating and analyzing relational data, Structured Query Language (SQL)…
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Introducing Amazon MSK Connect – Stream Data to and from Your Apache Kafka Clusters Using Managed Connectors

Apache Kafka is an open-source platform for building real-time streaming data pipelines and…
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Decoding the Social Effects Of Media with Machine Learning

What if media were optimized to benefit people? This thought-provoking question is at the…
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Cross-Account Data Sharing for Amazon Redshift

To be successful in today’s fast-moving world, businesses need to analyze data quickly…
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Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data

With Amazon Redshift, you can use SQL to query and combine exabytes of structured and semi-structured…
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Introducing Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala

The best way to get timely insights and react quickly to new information you receive from…
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New Amazon FinSpace Simplifies Data Management and Analytics for Financial Services

Managing data is the core of the Financial Services Industry (FSI). I worked for private…
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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…