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Tag: Amazon Athena

Enhance conversational AI with advanced routing techniques with Amazon Bedrock | Amazon Web Services

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With...

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Deliver decompressed Amazon CloudWatch Logs to Amazon S3 and Splunk using Amazon Data Firehose | Amazon Web Services

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your...

Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight | Amazon...

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring....

Create an end-to-end data strategy for Customer 360 on AWS | Amazon Web Services

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used...

Run Trino queries 2.7 times faster with Amazon EMR 6.15.0 | Amazon Web Services

Trino is an open source distributed SQL query engine designed for interactive analytic workloads. On AWS, you can run Trino on Amazon EMR, where...

The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype | Amazon Web Services

This is a guest post co-written with Scott Gutterman from the PGA TOUR. Generative artificial intelligence (generative...

Gain insights from historical location data using Amazon Location Service and AWS analytics services | Amazon Web Services

Many organizations around the world rely on the use of physical assets, such as vehicles, to deliver a service to their end-customers. By tracking...

Run an audience overlap analysis in AWS Clean Rooms | Amazon Web Services

Advertisers, publishers, and advertising technology providers are actively seeking efficient ways to collaborate with their partners to generate insights about their collective datasets. One...

Build a pseudonymization service on AWS to protect sensitive data: Part 2 | Amazon Web Services

Part 1 of this two-part series described how to build a pseudonymization service that converts plain text data attributes into a pseudonym or vice...

Bring your workforce identity to Amazon EMR Studio and Athena | Amazon Web Services

Customers today may struggle to implement proper access controls and auditing at the user level when multiple applications are involved in data access workflows....

Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg | Amazon Web Services

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to...

Detect anomalies in manufacturing data using Amazon SageMaker Canvas | Amazon Web Services

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable...

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock | Amazon Web Services

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs)....

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