Social Media Ideas for Amazon Athena

Latest updates for Amazon Athena

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aws.amazon.com /1 week ago

Serverless analytics pipelines using the Apache Spark engine in Amazon Athena

This post shows how developers, data engineers, and analysts can connect to a secure Spark Connect endpoint in Athena with Apache Spark. You can use your preferred tools, such as J...

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aws.amazon.com /1 month ago

A systematic approach to benchmarking SQL processing engines on AWS

Selecting the right SQL processing solution for large-scale data analytics is a critical decision for organizations. As data volumes grow exponentially, the technology landscape ha...

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aws.amazon.com /1 month ago

Migrating data from Oracle to Amazon Aurora DSQL

This post walks through migrating data from an Oracle source to Amazon Aurora DSQL, using AWS DMS, Amazon S3, AWS Glue, and AWS Step Functions to create an automated, cost-effectiv...

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dev.to /1 month ago

Why I replaced DynamoDB with Aurora PostgreSQL Serverless v2 for an ad-ops monitoring workload

On February 14, 2026, Meta started enforcing health-data restrictions that broke pixel-based lower-funnel conversion tracking for DTC telehealth advertisers. No purchase events. No...

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aws.amazon.com /3 weeks ago

AI-powered BI with Snowflake and Amazon Quick

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You...

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aws.amazon.com /1 month ago

Build an enterprise observability solution for Amazon Quick

When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users a...

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aws.amazon.com /1 month ago

Access Amazon S3 data files directly using AWS Lake Formation permissions

In this post, we demonstrate reading from and writing to Lake Formation-managed S3 locations using Apache Spark jobs from EMR. Lake Formation credential vending for S3 location acc...

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aws.amazon.com /1 week ago

Accelerating log analytics at scale with AWS Glue and Apache Iceberg materialized views

In this post, you learn how to build an application log pipeline for production use with Amazon CloudWatch Logs, AWS Lambda, Amazon Data Firehose, AWS Glue, and Apache Iceberg mate...

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aws.amazon.com /1 week ago

Dynata’s journey to lower TCO and faster modernization with AWS Database Savings Plans

In this post, we show how Dynata simplified database cost optimization and accelerated modernization to AWS Graviton processors by adopting Database Savings Plans. Rather than mana...

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aws.amazon.com /1 week ago

Automate PostgreSQL audit log extraction and analysis with Amazon S3

In this post, we show you how to deploy an automated pipeline that extracts PostgreSQL audit logs from CloudWatch Logs, converts them into structured comma-separated values (CSV) f...

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aws.amazon.com /1 week ago

Deploy modern data platforms in minutes with MDAA

In this post, we explore how MDAA transforms data architecture development from months of manual coding to production-ready deployment through configuration-driven infrastructure a...

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aws.amazon.com /1 month ago

Building an AI-powered grid investigation agent with Aurora DSQL and Amazon Bedrock AgentCore

In this post, we show how to build an Amazon Aurora DSQL database agent that other AI agents can discover and query through natural language using the A2A protocol. You’ll walk thr...

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aws.amazon.com /1 month ago

Amazon Quick integration with time-series databases for market intelligence using MCP

In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conver...

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aws.amazon.com /1 month ago

How to migrate from Oracle to Amazon Aurora PostgreSQL using AWS CloudFormation (Part 1)

In this post, you learn how to use AWS DMS Schema Conversion to migrate Oracle schemas to PostgreSQL. AWS DMS Schema Conversion converts database schemas and code objects to format...

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aws.amazon.com /1 month ago

Build petabyte-scale synthetic test data with Amazon EMR on EC2

As data volumes grow from terabytes to petabytes, the architecture for generating synthetic data must evolve to meet increasing demands for scale, performance, and data quality. In...

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dzone.com /1 month ago

AWS Managed Database Observability: Monitoring DynamoDB, ElastiCache, and Redshift Beyond CloudWatch

A DynamoDB throttle alarm fires at 2 am. You confirm the spike in CloudWatch, then check ElastiCache in a second dashboard, then Redshift in a third. Cache hit rate dropped, which...

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aws.amazon.com /3 weeks ago

Why tombola chose Graviton-powered RG instances for Amazon Redshift

In this post, you learn how tombola followed a strict engineering principle: no changes to production without evidence. That meant a head-to-head comparison of RA3 versus RG on the...

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aws.amazon.com /1 month ago

Real-time CDC from Aurora PostgreSQL to Amazon S3 Tables using Debezium and Firehose

In this post, we show you how to build a CDC pipeline that delivers query-ready Iceberg tables directly. The pipeline captures inserts, updates, and deletes from Aurora PostgreSQL...

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aws.amazon.com /2 weeks ago

User authentication and session management with Amazon Aurora DSQL

In this post, you learn how to design and implement a user authentication service with session management on Amazon Aurora DSQL. You see the full request flow from client to databa...

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aws.amazon.com /1 month ago

Query Amazon Redshift using natural language with Kiro

In this post, you learn how to set up Kiro with the Amazon Redshift MCP server to query your data warehouse using natural language. You explore cluster discovery, schema browsing,...

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aws.amazon.com /4 weeks ago

Improve query performance with EXPLAIN plans in Amazon Aurora DSQL

In this post, we show you how to use EXPLAIN plans to diagnose and improve query performance in Amazon Aurora DSQL. We introduce a three-layer filter model as a practical framework...

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aws.amazon.com /1 week ago

How BigBasket uses the Iceberg based lakehouse architecture on AWS to power lightning-fast grocery delivery across India

In this post, we demonstrate how BigBasket implemented the lakehouse architecture on AWS, including their architecture decisions, implementation approach, and the measurable busine...

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aws.amazon.com /2 weeks ago

Optimize your Tableau integration with Amazon Redshift Serverless

In this post, we provide a guide to help you use Tableau’s Relationships and Amazon Redshift Serverless architecture to deliver sub-second insights while maximizing every Redshift...

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aws.amazon.com /2 weeks ago

AI-powered performance recommendations for Amazon Redshift

In this post, you learn how to build an AI-powered solution that collects the telemetry, pre-computes performance signals, correlates them with CloudWatch, and uses Amazon Bedrock...

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