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Tag: ETL

Modern ETL: The Brainstem of Enterprise AI | IBM
IBM

Modern ETL: The Brainstem of Enterprise AI | IBM

vm_adminMay 17, 2025

Traditional ETL was built for predictable, structured workloads in on-premises environments. As noted, it often relies on batch processing, manual…

Unified scheduling for visual ETL flows and query books in Amazon SageMaker Unified Studio | Amazon Web Services
Amazon Web Services

Unified scheduling for visual ETL flows and query books in Amazon SageMaker Unified Studio | Amazon Web Services

vm_adminApril 30, 2025

Data engineers and analysts often need to automate their data processing workflows and queries to maintain up-to-date data pipelines and…

How FICO modernizes file transfers with ETL automation using AWS Transfer Family | Amazon Web Services
Amazon Web Services

How FICO modernizes file transfers with ETL automation using AWS Transfer Family | Amazon Web Services

vm_adminApril 24, 2025

FICO powers decisions that help people and businesses around the world prosper. Using FICO solutions, businesses in more than 80…

How Open Universities Australia modernized their data platform and significantly reduced their ETL costs with AWS Cloud Development Kit and AWS Step Functions | Amazon Web Services
Amazon Web Services

How Open Universities Australia modernized their data platform and significantly reduced their ETL costs with AWS Cloud Development Kit and AWS Step Functions | Amazon Web Services

vm_adminJanuary 30, 2025

This is a guest post co-authored by Michael Davies from Open Universities Australia. At Open Universities Australia (OUA), we empower…

Amazon zeroes out ETL for shifting Aurora and DynamoDB data into Redshift – Blocks and Files
Amazon Web Services

Amazon zeroes out ETL for shifting Aurora and DynamoDB data into Redshift – Blocks and Files

vm_adminOctober 16, 2024

Amazon is making it easier to analyze transactional data held in its Aurora PostgreSQL and DynamoDB databases by avoiding the…

AWS introduces seamless integration between Amazon DocumentDB and Amazon OpenSearch Service, eliminating the need for ETL processes.
Amazon Web Services

AWS introduces seamless integration between Amazon DocumentDB and Amazon OpenSearch Service, eliminating the need for ETL processes.

vm_adminJune 7, 2024

Amazon DocumentDB now offers zero-ETL integration with Amazon OpenSearch Service, allowing customers to access advanced search features like fuzzy search,…

AWS introduces seamless integration between Amazon DocumentDB and Amazon OpenSearch Service, eliminating the need for ETL processes.
Amazon Web Services

Introducing Amazon OpenSearch Service’s Seamless Integration with Amazon S3 – Zero ETL Required now on AWS

vm_adminJune 7, 2024

AWS has announced the general availability of Amazon OpenSearch Service’s zero-ETL integration with Amazon S3, enabling customers to easily query…

HCLTech’s Intelligent Data Ingestion Solution Transforms the Data Landscape for Rapid ETL and More on Amazon Web Services
Amazon Web Services

HCLTech’s Intelligent Data Ingestion Solution Transforms the Data Landscape for Rapid ETL and More on Amazon Web Services

vm_adminJune 7, 2024

HCLTech ha presentado la solución de “Ingestión Inteligente”, una solución impulsada por servicios nativos de AWS que simplifica el proceso…

Upgrade your data monitoring with Amazon OpenSearch Service’s seamless integration with Amazon S3, eliminating the need for ETL processes | Amazon Web Services
Amazon Web Services

Upgrade your data monitoring with Amazon OpenSearch Service’s seamless integration with Amazon S3, eliminating the need for ETL processes | Amazon Web Services

vm_adminJune 7, 2024

Amazon OpenSearch Service has announced the availability of zero-ETL integration with Amazon Simple Storage Service (Amazon S3) for domains running…

Begin utilizing AWS Glue Data Quality dynamic rules in your ETL pipelines on Amazon Web Services
Amazon Web Services

Begin utilizing AWS Glue Data Quality dynamic rules in your ETL pipelines on Amazon Web Services

vm_adminMay 23, 2024

Data integration pipelines are crucial for organizations to extract and transform data while ensuring high data quality for accurate business…

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