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A few years ago, moving data between applications and data stores included expensive monolithic stacks from large software vendors with little flexibility. Now, with frameworks such as Apache Beam and Apache Airflow, we can schedule and run data processing jobs for both streaming and batch with the same underlying code. This presentation demonstrates the concepts of how this can glue your applications together and shows how we can run data pipelines as Java code, the use cases for such pipelines, and how we can move them from local machines to the cloud solutions by changing just a few lines of Java in our Apache Beam code.
