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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

dbt (DataBuildTool) offers this mechanism by introducing a well-structured framework for data analysis, transformation and orchestration. It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries.

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Build SAML identity federation for Amazon OpenSearch Service domains within a VPC

AWS Big Data

Refer to How can I access OpenSearch Dashboards from outside of a VPC using Amazon Cognito authentication for a detailed evaluation of the available options and the corresponding pros and cons. For more information, refer to the AWS CDK v2 Developer Guide. For instructions, refer to Creating a public hosted zone.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Data lakes are not transactional by default; however, there are multiple open-source frameworks that enhance data lakes with ACID properties, providing a best of both worlds solution between transactional and non-transactional storage mechanisms. The reference data is continuously replicated from MySQL to DynamoDB through AWS DMS.

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows.

Metadata 102
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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

For detailed information on managing your Apache Hive metastore using Lake Formation permissions, refer to Query your Apache Hive metastore with AWS Lake Formation permissions. In this post, we present a methodology for deploying a data mesh consisting of multiple Hive data warehouses across EMR clusters.

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Introducing Amazon MWAA support for the Airflow REST API and web server auto scaling

AWS Big Data

Refer to Creating an Apache Airflow web login token for more details. Args: region (str): AWS region where the MWAA environment is hosted. Args: region (str): AWS region where the MWAA environment is hosted. To learn more about the Airflow REST API and its various endpoints, refer to the Airflow documentation.

Testing 87
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Use Snowflake with Amazon MWAA to orchestrate data pipelines

AWS Big Data

When implementing the solution in this post, replace references to airflow-blog-bucket-ACCOUNT_ID and citibike-tripdata-destination-ACCOUNT_ID with the names of your own S3 buckets. If you’re testing on a different Amazon MWAA version, update the requirements file accordingly.