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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. EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application, and you only pay for what you use.

Big Data 107
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The Modern Data Stack Explained: What The Future Holds

Alation

Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data. You should pick those that allow for easy integration and can create beautiful data visualizations. These help data analysts visualize key insights that can help you make better data-backed decisions.

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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.