Category: Amazon Managed Workflows for Apache Airflow (Amazon MWAA)

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS, data warehouses (Amazon Redshift), search (Amazon OpenSearch Service), NoSQL (Amazon DynamoDB), machine learning (Amazon SageMaker), and more. Analytics professionals are tasked with deriving value from data stored in these distributed systems […]

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that lets you use the same familiar Apache Airflow environment to orchestrate your workflows and enjoy improved scalability, availability, and security without the operational burden of having to manage the underlying infrastructure. In April 2023, Amazon MWAA added support for […]

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud at scale. Amazon MWAA supports multiple versions of Apache Airflow (v1.10.12, v2.0.2, and v2.2.2). Earlier in 2023, we added support for Apache Airflow v2.4.3 […]

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud at scale. A data pipeline is a set of tasks and processes used to automate the movement and transformation of data between different systems.­ […]

In modern data architectures, datasets are combined across an organization using a variety of purpose-built services to unlock insights. As a result, data governance becomes a key component for data consumers and producers to know that their data-driven decisions are based on trusted and accurate datasets. One aspect of data governance is data lineage, which […]

This is post is co-authored by Manish Mehra, Anirudh Vohra, Sidrah Sayyad, and Abhishek I S (from ZS), and Parnab Basak (from AWS). The team at ZS collaborated closely with AWS to build a modern, cloud-native data orchestration platform. ZS is a management consulting and technology firm focused on transforming global healthcare and beyond. We […]

This is post is co-authored by Jyothin Madari, Madhusudhan Muppagowni and Ayush Srivastava from GE. GE Proficy Manufacturing Data Cloud (MDC), part of the GE Digital’s Manufacturing Execution Systems (MES) suite of solutions, allows GED’s customers to increase the derived value easily and quickly from the MES by reliably bringing enterprise-wide manufacturing data into the […]

Customers can harness sophisticated orchestration capabilities through the open-source tool Apache Airflow. Airflow can be installed on Amazon EC2 instances or can be dockerized and deployed as a container on AWS container services. Alternatively, customers can also opt to leverage Amazon Managed Workflows for Apache Airflow (MWAA). Amazon MWAA is a fully managed service that […]

ENGIE—one of the largest utility providers in France and a global player in the zero-carbon energy transition—produces, transports, and deals electricity, gas, and energy services. With 160,000 employees worldwide, ENGIE is a decentralized organization and operates 25 business units with a high level of delegation and empowerment. ENGIE’s decentralized global customer base had accumulated lots […]

Amazon Studios invests in content that drives global growth of Amazon Prime Video and IMDb TV. Amazon Studios has a number of internal-facing applications that aim to streamline end-to-end business processes and information workflows for the entire content creation lifecycle. The Amazon Studios Data Infrastructure (ASDI) is a centralized, curated, and secure data lake that […]