AWS Big Data Blog

Category: Application Integration

Improve observability across Amazon MWAA tasks

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.­ […]

Automate data lineage on Amazon MWAA with OpenLineage

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 […]

Use an event-driven architecture to build a data mesh on AWS

In this post, we take the data mesh design discussed in Design a data mesh architecture using AWS Lake Formation and AWS Glue, and demonstrate how to initialize data domain accounts to enable managed sharing; we also go through how we can use an event-driven approach to automate processes between the central governance account and […]

How ZS created a multi-tenant self-service data orchestration platform using Amazon MWAA

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 […]

How GE Proficy Manufacturing Data Cloud replatformed to improve TCO, data SLA, and performance

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 […]

Trigger an AWS Glue DataBrew job based on an event generated from another DataBrew job

Organizations today have continuous incoming data, and analyzing this data in a timely fashion is becoming a common requirement for data analytics and machine learning (ML) use cases. As part of this, you need clean data in order to gain insights that can enable enterprises to get the most out of their data for business […]

Persist and analyze metadata in a transient Amazon MWAA environment

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 […]

Architecture Diagram

Audit AWS service events with Amazon EventBridge and Amazon Kinesis Data Firehose

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Amazon EventBridge is a serverless event bus that makes it easy to build event-driven applications at scale using events generated from your applications, integrated software as a service (SaaS) applications, and AWS […]

How ENGIE scales their data ingestion pipelines using Amazon MWAA

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 […]

Build a modern data architecture on AWS with Amazon AppFlow, AWS Lake Formation, and Amazon Redshift

This is a guest post written by Dr. Yannick Misteli, lead cloud platform and ML engineering in global product strategy (GPS) at Roche. Recently the Roche Data Insights (RDI) initiative was launched to achieve our vision using new ways of working and collaboration in order to build shared, interoperable data & insights with federated governance. […]