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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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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.

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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.

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Setting up and Getting Started with Cloudera’s New SQL AI Assistant

Cloudera

Please refer to the product documentation for more information about specific releases. Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services. or higher on the public cloud. Both Hive and Impala dialects are supported.

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Implement alerts in Amazon OpenSearch Service with PagerDuty

AWS Big Data

For instructions, refer to Creating and managing Amazon OpenSearch Service domains. For Host , enter events.PagerDuty.com. Choose Send test message and test to make sure you receive an alert on the PagerDuty service. This notification can be safely acknowledged and resolved from PagerDuty because this is was a test.

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Access Amazon Athena in your applications using the WebSocket API

AWS Big Data

For more information, refer to Controlling and managing access to a WebSocket API in API Gateway. Refer to Controlling and managing access to a WebSocket API in API Gateway to understand how to implement these security controls. Test the setup To test the WebSocket API, you can use wscat, an open-source command line tool.