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aws.amazon.com /1 month ago

Automate data discovery and centralized management with AWS Glue Data Catalog

In this post, we show you how to tackle data discovery, classification, and governance across your databases, data warehouses, and object storage to regain visibility and control o...

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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

Introducing Apache Spark Connect support in AWS Glue interactive sessions

Apache Spark Connect bridges the gap between these two worlds: you develop in local Python, but execute on AWS Glue against actual data. Today, AWS Glue interactive sessions suppor...

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dzone.com /1 day ago

AWS Glue ETL Design Principles for Production PySpark Pipelines

AWS Glue makes it easy to get a PySpark pipeline running quickly. It is significantly harder to build one that stays maintainable as logic grows, performs reliably at scale, and do...

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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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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

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 /3 weeks ago

Autonomous troubleshooting for Medallion Architecture with AWS DevOps Agent and Apache Spark Troubleshooting Agent

In this post, we show you how to diagnose multi-layer Medallion Architecture pipeline failures in minutes using AWS DevOps Agent with Apache Spark Troubleshooting Agent integrated...

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aws.amazon.com /1 month ago

Capture data lineage of Amazon EMR spark jobs into Amazon SageMaker Unified Studio

In this post, you’ll walk through a practical, step-by-step example that shows how to capture and track data lineage from Spark jobs running on Amazon EMR directly into Amazon Sage...

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aws.amazon.com /2 weeks ago

Building agentic AI applications with a modern data mesh strategy on AWS

This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.

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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

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable ne...

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aws.amazon.com /5 days ago

Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on A...

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aws.amazon.com /6 days ago

Accelerate database modernization with agentic AI in AWS DMS Schema Conversion

Starting today, you can use AI agents to orchestrate entire AWS DMS Schema Conversion (DMS SC) workflows through natural language. An AI agent manages the full lifecycle, including...

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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

Announcing Spark Connect on Amazon EMR Serverless: Interactive PySpark development, anywhere

Today, AWS is announcing support for Spark Connect on Amazon EMR Serverless with EMR release 7.13 (Apache Spark 3.5.6) and later versions. You can now build and debug Spark applica...

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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 /2 days ago

Multi-cloud lakehouse architecture on AWS for Agentic AI, Part 1: Architecture and best practices

This post focuses on explaining the architecture approach to build the open lakehouse architecture on AWS, unifying the metadata catalog across providers for the AI agents to acces...

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dzone.com /1 month ago

Stop Debugging Glue Jobs Manually: Building an Agentic Observability Layer for Data Pipelines

The Pipeline Did Not Fail Cleanly Most pipeline failures don't look like "the job failed." Consider a common scenario. A Glue job reads overnight event files, applies business rule...

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aws.amazon.com /1 month ago

How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technol...

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dev.to /3 weeks ago

AWS DEA-C01: What Each Domain Actually Tests (Not What the Blueprint Says)

The AWS Data Engineer Associate is one of the newer associate-level certs, and because it's new, the prep ecosystem around it is thinner and noisier than for established exams. The...

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towardsdatascience.com /1 month ago

Introducing the Agent Toolkit for Amazon Web Services

It’s like having your own personal expert AWS solutions architect and data engineer rolled into one. The post Introducing the Agent Toolkit for Amazon Web Services appeared first o...

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aws.amazon.com /3 weeks ago

Detecting fraud patterns across Snowflake and AWS using SageMaker Data Agent

Amazon SageMaker Data Agent launches three new capabilities in Amazon SageMaker Unified Studio notebooks: SQL analytics on Snowflake data sources, materialized view management, and...

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aws.amazon.com /1 month ago

Build AI-powered dashboard automation agents with NLP on Amazon Bedrock AgentCore

This solution combines the power of Amazon Bedrock AgentCore, Strands Agents, and Amazon Quick transforms to deliver a secure, scalable, and intelligent system for building and ope...

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