AWS Big Data Blog
Category: AWS Batch
How Tipico democratized data transformations using Amazon Managed Workflows for Apache Airflow and AWS Batch
Tipico is the number one name in sports betting in Germany. Every day, we connect millions of fans to the thrill of sport, combining technology, passion, and trust to deliver fast, secure, and exciting betting, both online and in more than a thousand retail shops across Germany. We also bring this experience to Austria, where we proudly operate a strong sports betting business. In this post, we show how Tipico built a unified data transformation platform using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and AWS Batch.
Develop an Amazon Redshift ETL serverless framework using RSQL, AWS Batch, and AWS Step Functions
Amazon Redshift RSQL is a command-line client for interacting with Amazon Redshift clusters and databases. You can connect to an Amazon Redshift cluster, describe database objects, query data, and view query results in various output formats. You can use enhanced control flow commands to replace existing extract, transform, load (ETL) and automation scripts. This post […]
Build a modern data architecture on AWS with Amazon AppFlow, AWS Lake Formation, and Amazon Redshift: Part 2
In Part 1 of this post, we provided a solution to build the sourcing, orchestration, and transformation of data from multiple source systems, including Salesforce, SAP, and Oracle, into a managed modern data platform. Roche partnered with AWS Professional Services to build out this fully automated and scalable platform to provide the foundation for their […]

