Category: Advanced (300)

In this post, we demonstrate how to build a serverless architecture that processes real-time ICU patient monitoring data using Lambda event source mapping for immediate alert generation and data aggregation, followed by persistent storage in Amazon S3 with an Iceberg catalog for comprehensive healthcare analytics.

Apache Airflow 3.x on Amazon MWAA introduces architectural improvements such as API-based task execution that provides enhanced security and isolation. This migration presents an opportunity to embrace next-generation workflow orchestration capabilities while providing business continuity. This post provides best practices and a streamlined approach to successfully navigate this critical migration, providing minimal disruption to your mission-critical data pipelines while maximizing the enhanced capabilities of Airflow 3.

In this post, we introduce Amazon DataZone and explore how Volkswagen used Amazon DataZone to build their data mesh, tackle the challenges encountered, and break the data silos.

Migrating from Google Cloud’s BigQuery to ClickHouse Cloud on AWS allows businesses to leverage the speed and efficiency of ClickHouse for real-time analytics while benefiting from AWS’s scalable and secure environment. This article provides a comprehensive guide to executing a direct data migration using AWS Glue ETL, highlighting the advantages and best practices for a […]

AWS announced the general availability of Apache Airflow 3 on Amazon Managed Workflows for Apache Airflow (Amazon MWAA). This release transforms how organizations use Apache Airflow to orchestrate data pipelines and business processes in the cloud, bringing enhanced security, improved performance, and modern workflow orchestration capabilities to Amazon MWAA customers. This post explores the features of Airflow 3 on Amazon MWAA and outlines enhancements that improve your workflow orchestration capabilities

In this post, we demonstrate the different bottlenecks that were identified and the corresponding solutions that were implemented in OpenSearch Service to scale cluster manager for large cluster deployments. These optimizations are available to all new domains or existing domains upgraded to OpenSearch Service versions 2.17 or above.

In this post, we explore commonly used Amazon CloudWatch metrics and alarms for OpenSearch Serverless, walking through the process of selecting relevant metrics, setting appropriate thresholds, and configuring alerts. This guide will provide you with a comprehensive monitoring strategy that complements the serverless nature of your OpenSearch deployment while maintaining full operational visibility.

In this post, we walk through setting up the Amazon Redshift MCP server and demonstrate how a data analyst can efficiently explore Redshift data warehouses and perform data analysis using natural language queries.

Orchestrating machine learning pipelines is complex, especially when data processing, training, and deployment span multiple services and tools. In this post, we walk through a hands-on, end-to-end example of developing, testing, and running a machine learning (ML) pipeline using workflow capabilities in Amazon SageMaker, accessed through the Amazon SageMaker Unified Studio experience. These workflows are powered by Amazon Managed Workflows for Apache Airflow.

In this post, we outline a comprehensive guide for setting up single sign-on from Tableau desktop to Amazon Redshift using integration with IAM Identity Center and PingFederate as the identity provider (IdP) with an LDAP based data store, AWS Directory Service for Microsoft Active Directory.