AWS Big Data Blog

Category: Serverless

Share and publish your Snowflake data to AWS Data Exchange using Amazon Redshift data sharing

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Today, tens of thousands of AWS customers—from Fortune 500 companies, startups, and everything in between—use Amazon Redshift to run mission-critical business intelligence (BI) dashboards, […]

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 Hudl built a cost-optimized AWS Glue pipeline with Apache Hudi datasets

This is a guest blog post co-written with Addison Higley and Ramzi Yassine from Hudl. Hudl Agile Sports Technologies, Inc. is a Lincoln, Nebraska based company that provides tools for coaches and athletes to review game footage and improve individual and team play. Its initial product line served college and professional American football teams. Today, […]

How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. SOCAR is the leading Korean mobility company with strong competitiveness in car-sharing. SOCAR has become a comprehensive mobility platform in collaboration with Nine2One, an e-bike sharing service, […]

California State University Chancellor’s Office reduces cost and improves efficiency using Amazon QuickSight for streamlined HR reporting in higher education

The California State University Chancellor’s Office (CSUCO) sits at the center of America’s most significant and diverse 4-year universities. The California State University (CSU) serves approximately 477,000 students and employs more than 55,000 staff and faculty members across 23 universities and 7 off-campus centers. The CSU provides students with opportunities to develop intellectually and personally, […]

Build the next generation, cross-account, event-driven data pipeline orchestration product

This is a guest post by Mehdi Bendriss, Mohamad Shaker, and Arvid Reiche from Scout24. At Scout24 SE, we love data pipelines, with over 700 pipelines running daily in production, spread across over 100 AWS accounts. As we democratize data and our data platform tooling, each team can create, maintain, and run their own data pipelines […]

Retain more for less with tiered storage for Amazon MSK

Organizations are adopting Apache Kafka and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture and analyze data in real-time. Amazon MSK allows you to build and run production applications on Apache Kafka without needing Kafka infrastructure management expertise or having to deal with the complex overheads associated with running Apache Kafka on your […]

Simplify data analysis and collaboration with SQL Notebooks in Amazon Redshift Query Editor V2.0

Amazon Redshift Query Editor V2.0 is a web-based analyst workbench that you can use to author and run queries on your Amazon Redshift data warehouse. You can visualize query results with charts, and explore, share, and collaborate on data with your teams in SQL through a common interface. With SQL Notebooks, Amazon Redshift Query Editor […]

How The Mill Adventure enabled data-driven decision-making in iGaming using Amazon QuickSight

This post is co-written with Darren Demicoli from The Mill Adventure. The Mill Adventure is an iGaming industry enabler offering customizable turnkey solutions to B2B partners and custom branding enablement for its B2C partners. They provide a complete gaming platform, including licenses and operations, for rapid deployment and success in iGaming, and are committed to […]

Deploy DataHub using AWS managed services and ingest metadata from AWS Glue and Amazon Redshift – Part 2

In the first post of this series, we discussed the need of a metadata management solution for organizations. We used DataHub as an open-source metadata platform for metadata management and deployed it using AWS managed services with the AWS Cloud Development Kit (AWS CDK). In this post, we focus on how to populate technical metadata […]