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Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

This improvement streamlines the ability to access and manage your Airflow environments and their integration with external systems, and allows you to interact with your workflows programmatically. Airflow REST API The Airflow REST API is a programmatic interface that allows you to interact with Airflow’s core functionalities.

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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

The need for streamlined data transformations As organizations increasingly adopt cloud-based data lakes and warehouses, the demand for efficient data transformation tools has grown. Next, use the dbt Cloud interactive development environment (IDE) to deploy your project.

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Author data integration jobs with an interactive data preparation experience with AWS Glue visual ETL

AWS Big Data

The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, and monitor data integration jobs in AWS Glue. The new data preparation interface in AWS Glue Studio provides an intuitive, spreadsheet-style view for interactively working with tabular data. Choose Create policy.

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Agentic AI: Why this emerging technology will revolutionise multiple sectors

CIO Business Intelligence

Likely use cases for agentic AI In practical applications, agentic AI is emerging in various fields such as autonomous vehicles, automated trading systems, and healthcare and natural sciences, where they will be programmed to perform tasks, make choices and interact with their environment in a way that mimics human agency. 3] Preparation.

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Ensuring Data Transformation Quality with dbt Core

Wayne Yaddow

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments. Deploy dbt models to Amazon Redshift.