Social Media Ideas for Amazon Managed Workflows For Apache Airflow (Amazon Mwaa)

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aws.amazon.com /1 month ago

PythonOperator and BashOperator Now Available on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) Serverless

You can now use PythonOperator and BashOperator to run custom Python functions and shell scripts directly in the Amazon MWAA Serverless runtime, without provisioning additional inf...

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aws.amazon.com /3 weeks ago

Building an LLM-powered DAG failure analysis plugin for Amazon MWAA

Debugging Apache Airflow DAG failures across services like AWS Glue, Amazon EMR, and Amazon Athena is slow and manual. In this post, we show you how to build a custom Airflow plugi...

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aws.amazon.com /2 weeks ago

Monitoring MWAA-orchestrated ETL pipelines with Amazon OpenSearch Service

Troubleshooting a multi-service, MWAA-orchestrated ETL pipeline often means hunting across scattered Amazon CloudWatch log groups. This post shows how to centralize your ETL logs i...

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aws.amazon.com /2 weeks ago

Cost-effective ETL with DuckDB and Amazon S3 Tables on AWS Glue

Learn how to pair DuckDB with AWS Glue 6.0 to run SQL-centric ETL on a single worker, reading Parquet from Amazon S3 and writing Apache Iceberg tables to Amazon S3 Tables. This pos...

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aws.amazon.com /1 month ago

How Moeve standardized dbt runs across data lakes with Amazon Athena

Moeve standardized how it runs dbt across multiple data lakes by building a centralized, serverless launcher on Amazon Athena, AWS Step Functions, AWS Fargate, Amazon DynamoDB, and...

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aws.amazon.com /1 month ago

Build agentic creative workflows with Amazon Quick and fal

Creative teams produce more assets than ever, but fragmented tools and manual context transfer slow production. This post shows how to build a reusable agent harness with Amazon Qu...

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cloud.google.com /1 month ago

The future of orchestration: Pine59’s journey to Airflow 3 on Google Cloud

Operating large data pipelines requires an orchestration layer that scales smoothly as workloads expand. When your pipelines process millions of complex data points every day to fe...

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aws.amazon.com /3 days ago

Work management context for AI agents with Smartsheet MCP on AWS

The Smartsheet Model Context Protocol (MCP) Server lets AI agents read, update, and act on live work management data. This post shows two ways to connect it on AWS: Amazon Quick fo...

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aws.amazon.com /1 month ago

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,...

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landscapemanagement.net /1 month ago

WorkWave partners with Amazon Web Services to modernize its global cloud architecture

WorkWave is building on Amazon Web Services to power its WAIve AI engine, targeting up to 50 percent reduction in cloud costs and accelerating platform performance. <p>The po...

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aws.amazon.com /1 month ago

Build declarative ETL pipelines with AWS Glue 6.0

AWS Glue 6.0 introduces Spark Declarative Pipelines. In this post, you build a single declarative AWS Glue 6.0 job that turns raw order records into validated, aggregated tables th...

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aws.amazon.com /1 month ago

Accelerate Apache Spark debugging on Amazon EMR with AWS DevOps Agent

Extend AWS DevOps Agent to investigate Apache Spark failures on Amazon EMR. This post shows how to register the Apache Spark Troubleshooting Agent for Amazon EMR as a custom MCP ca...

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aws.amazon.com /1 month ago

Build a real-time event pipeline with Spark Real-Time Mode on AWS Glue 6.0

With AWS Glue 6.0, you can build real-time, near-real-time, and batch data pipelines on a single platform. Using a financial market-risk example, learn how to flag high-risk trades...

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aws.amazon.com /3 weeks ago

Implementing Multi-Environment Access for Claude Platform on AWS

Learn how to configure secure, multi-environment access to Claude Platform on AWS from a single subscription: cross-account SigV4 for AWS workloads, workspace-scoped API keys for d...

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aws.amazon.com /1 week ago

Bring data quality to your Amazon EMR workloads with Amazon EMR Data Quality built on AWS Glue Data Quality

AWS Glue Data Quality is now available natively on Amazon EMR, bundled in AWS runtime for Apache Spark (emr-spark-8.1.0). Write the same DQDL rulesets you use in AWS Glue directly...

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aws.amazon.com /1 month ago

Announcing Spark Connect on Amazon EMR on EC2: Interactive PySpark anywhere

Amazon EMR on EC2 now supports Spark Connect, so you can develop and debug PySpark interactively from Amazon SageMaker Unified Studio Data Notebooks or your own IDE while Spark run...

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aws.amazon.com /1 month ago

How United Airlines uses Amazon Redshift and AWS Glue Data Catalog federation to query Databricks-managed data

Learn how United Airlines uses AWS Glue Data Catalog federation to query Databricks Unity Catalog data directly from Amazon Redshift Serverless without duplicating data, using reso...

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aws.amazon.com /3 weeks ago

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

Announcing Spark Connect on Amazon EMR on EKS: build, test, and debug Spark applications from VS Code, PyCharm, Jupyter notebooks, Amazon SageMaker Unified Studio, or dbt, while ru...

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aws.amazon.com /1 week ago

Monitor Amazon Aurora DSQL costs with the Aurora DSQL console and CloudWatch alarms

As your Amazon Aurora DSQL workload scales, DPU consumption and storage costs can grow without a fixed instance ceiling. This post shows how to monitor Aurora DSQL usage and cost w...

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aws.amazon.com /1 month ago

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1

Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry, wit...

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aws.amazon.com /1 month ago

SQL Server to Aurora PostgreSQL conversion with AI agents for AWS DMS

Learn how to use AI agents with AWS DMS Schema Conversion to orchestrate SQL Server to Amazon Aurora PostgreSQL schema conversion through natural language. See how the conversion e...

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aws.amazon.com /2 weeks ago

Migrate SSIS packages to Aurora PostgreSQL – Part 2

Part 2 of migrating SSIS packages to Amazon Aurora PostgreSQL tackles the complex packages. Learn how to replace SSIS control flow, Foreach Loop Containers, and Script Tasks with A...

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aws.amazon.com /2 weeks ago

Materialize once, query anywhere: Introducing Iceberg materialized views in Amazon Redshift

Amazon Redshift now supports Iceberg materialized views. Compute an aggregation once in Amazon Redshift and store the result as a standard Apache Iceberg table in Amazon S3, querya...

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aws.amazon.com /2 weeks ago

Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion

Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone chore...

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