Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries In this post, we discuss how to implement bucketing on AWS data lakes, including using Athena CTAS statement and AWS Glue for Apache Spark. We also cover bucketing for Apache Iceberg tables.
https://aws.amazon.com/blogs/b....ig-data/optimize-dat

Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows. […]
https://aws.amazon.com/blogs/b....ig-data/orchestrate-

Dynamic DAG generation with YAML and DAG Factory in Amazon MWAA Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure. In Airflow, Directed Acyclic Graphs (DAGs) are defined as Python code. […]
https://aws.amazon.com/blogs/b....ig-data/dynamic-dag-

How Salesforce optimized their detection and response platform using AWS managed services Headquartered in San Francisco, Salesforce, Inc. is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways. In this post, we discuss how the Salesforce TIP team optimized their architecture using Amazon Web Services (AWS) managed services to achieve better scalability, cost, and operational efficiency.
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