Social Media Ideas for Amazon Quick Sight

How Datacor built self-service rental analytics with Amazon Quick Sight

Learn how Datacor built a self-service rental analytics experience for gas and welding distributors by embedding Amazon Quick Sight dashboards and natural language querying into it...

Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability for building and publishing interactive dashboards. The new hierarchy filter gives dashboa...

A serverless, data-driven Git metrics dashboard using Amazon Quick Sight

Learn how to build a fully serverless pipeline that automatically collects Git metrics from GitHub and GitLab and visualizes them in interactive Amazon Quick Sight dashboards, givi...

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with...

In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashb...

Top AWS Stats for 2027 | Simplilearn

The name ‘Amazon’ doesn’t need an introduction. Founded by Jeff Bezos in 1994, Amazon officially started off as an online bookseller and over the years, grew in...

How GoDaddy transformed its analytics with Amazon Quick

In this post, you will learn how GoDaddy migrated from their legacy business intelligence (BI) tool to Amazon Quick. This was a two-year transformation that delivered results acros...

Serve live, governed data in AI-built apps with Amazon Quick

With Live Data in Apps in Amazon Quick, AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots. Each query runs as the person v...

Embed Quick Sight visuals using Cognito user authentication

Learn how to embed individual Amazon Quick Sight visuals into a React application with per-user access control. This walkthrough uses Amazon Cognito authentication and a serverless...

How Sony LIV built real-time video streaming analytics with AWS

Real-time data analytics is transforming how streaming platforms serve their audiences. Learn how Sony LIV built a comprehensive, real-time streaming analytics solution on AWS usin...

How an AWS team detects dashboard content failures at scale using Amazon Bedrock

Business intelligence dashboards can fail silently, showing blank, stale, or wrong data even when every infrastructure monitor reports healthy. Learn how an AWS team built an autom...

Agentic observability with Amazon OpenSearch Service MCP Apps

Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets y...

Monitor self-managed databases with Amazon CloudWatch Database Insights

Amazon CloudWatch Database Insights now extends to self-managed databases. Monitor self-managed PostgreSQL on Amazon EC2 alongside your Amazon Aurora and Amazon RDS fleet from a si...

Amazon Shopping - AMZN Mobile LLC

Amazon Shopping offers app-only benefits to help make shopping on Amazon faster and easier. Browse, view product details, read reviews, and purchase millions of products. Amazon de...

Building a Modern Data Lakehouse on AWS: S3, Iceberg, Glue, Athena, and Lake Formation

The data lakehouse has become the default architecture for analytics on AWS in 2026. It combines the best of both worlds: the low-cost, schema-flexible storage of a data lake (S3)...

AWS Aurora PostgreSQL adds direct queries for Iceberg and Parquet data lakes

AWS Aurora PostgreSQL now queries Iceberg and Parquet data in S3 without ETL, using DuckDB and familiar SQL. See versions, setup, limits, and costs. The post AWS Aurora PostgreSQL...

Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics

Self-hosted speech AI carries an observability trade-off: the numbers that drive capacity planning and cost management stay locked inside the vendor container. Deepgram closes that...

Amazon by the Numbers! (Infographic)

Whether you love, hate or remain neutral on Amazon, one can only marvel and admire Amazon by the numbers which only appear to be accelerating. The infographic from Fortna in this p...

Amazon: AWS Acceleration Supports My Strong Buy Rating

Fresher insights, faster decisions: talabat’s near-real-time analytics across AWS and Google Cloud

Leading everyday app across the Middle East and North Africa, talabat, built a hybrid multi-cloud lakehouse that keeps a single Apache Iceberg copy of streaming data on Amazon S3 T...

Megabytes in milliseconds: How FireTV uses parallel queries and vertical partitioning to serve millions of customers in...

How Amazon FireTV redesigned its Continue Watching watch-progress data model on Amazon DynamoDB with vertical partitioning and hash-prefixed sort keys for parallel reads, removing...

Razor Group’s journey to a modern data lakehouse on AWS

Razor Group, one of Europe's leading ecommerce aggregators managing 250+ brands, migrated from always-on Amazon Redshift clusters to an open lakehouse on Apache Iceberg, Amazon S3...

AWS and DuckLabs: Building the future of analytics together

Today we are announcing that Amazon has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind the open-source analytical database DuckDB. We expect...

Measuring and improving search quality with Amazon OpenSearch Service

Most teams struggle to answer a deceptively simple question: is my search returning relevant results? This post shows how to capture User Behavior Insights (UBI) data on Amazon Ope...

Query Amazon S3 Tables from Amazon EMR Trino using the Iceberg REST endpoint

Learn how to query Amazon S3 Tables from Trino on Amazon EMR using the Apache Iceberg REST catalog endpoint. This post shows how to deploy the integration with AWS CloudFormation,...