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Orchestrate Amazon EMR Serverless jobs with AWS Step functions

AWS Big Data

AWS Step Functions is a serverless orchestration service that enables developers to build visual workflows for applications as a series of event-driven steps. The integration between AWS Step Functions and Amazon EMR Serverless makes it easier to manage and orchestrate big data workflows. Now, with the support for “Run a Job (.sync)”

Big Data 109
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The Modern Data Stack Explained: What The Future Holds

Alation

Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? Reverse ETL tools.

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Extract time series from satellite weather data with AWS Lambda

AWS Big Data

It has not been specifically designed for heavy data transformation tasks. Configure the Step Functions workflow After you create the two Lambda functions, you can design the Step Functions workflow in the visual editor by using the Lambda Invoke and Map blocks, as shown in the following diagram. Add a data source block.

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Use Snowflake with Amazon MWAA to orchestrate data pipelines

AWS Big Data

Another method to visualize the results is directly from the Snowflake console using the Snowflake worksheet. We also orchestrated the data pipeline using Amazon MWAA, which ran tasks related to data transformation as well as Snowflake queries.