Jun 10, 2024 · In this post, we explained how to create a federated Hive metastore for deploying a data mesh architecture with multiple Hive data warehouses across EMR clusters. By using …

The following code sample demonstrates how to enable an integration using Amazon EMR and Amazon Managed Workflows for Apache Airflow.

Jan 27, 2021 · This post showed how to use the Amazon EMR Notebooks API and use orchestration services such as Amazon MWAA to build ETL pipelines. It demonstrated how set …

Amazon Managed Workflows for Apache Airflow (MWAA) • Deploy Airflow Rapidly using AWS Console, AWS CLI, AWS API, or AWS CloudFormation • Same Open-source Airflow • …

Dec 12, 2023 · You can use EMR Serverless to run Spark jobs on the data, and use Amazon MWAA to manage the workflows and dependencies between these jobs. This integration can …

May 8, 2020 · Various data lake design patterns on the cloud. Build scalable and highly performing data lake on the Microsoft (Azure) cloud.

A Data Mesh is a paradigm shift in how we think about building data platforms. The architecture is the convergence of Distributed Domain Driven Architecture, Self-serve Platform Design and …

Launch an Amazon MWAA environment to create a data pipeline that orchestrates a batch ETL processing workflow in Amazon EMR. At a high level, the AWS cloud environment for this …

Amazon EMR and Amazon Redshift offer both server-based and serverless architectures while the other services depicted in the reference architecture are fully serverless. Amazon EMR …

Dec 29, 2023 · In this blog, we will focus on how we integrated MWAA and EMR within our data pipeline. We'll explore how we developed a system that automatically creates an EMR …