Remove data admin how-to-log-queries-in-postgresql
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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. By isolating workloads with specific security requirements or compliance needs, organizations can maintain the highest levels of data privacy and security.

Metadata 101
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Derive operational insights from application logs using Automated Data Analytics on AWS

AWS Big Data

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases.

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Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift

AWS Big Data

In this post, we provide step-by-step guidance on how to get started with near real-time operational analytics using this feature. The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse.

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Automate replication of relational sources into a transactional data lake with Apache Iceberg and AWS Glue

AWS Big Data

Organizations have chosen to build data lakes on top of Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the most popular choice for organizations to store all their organizational data generated by different teams, across business domains, from all different formats, and even over history.