Category: Amazon Redshift

In this post, we discuss the challenges with traditional data analytics mechanisms, our approach to solve them, and how you can use Amazon Aurora PostgreSQL-Compatible Edition zero-ETL integration with Amazon Redshift, which is generally available as of October 15th, 2024.

In this post, we talk about how Infosys redefined the ETL landscape for their product sales and freight management application using Aurora zero-ETL to Amazon Redshift. We also explain our experience with the old process and how the new zero-ETL integration helped us effortlessly move data into a Redshift cluster for analytics along with metrics to monitor the health of the integration.

At AWS, we have been making steady progress towards bringing our zero-ETL vision to life. With Amazon Aurora zero-ETL integration to Amazon Redshift, you can bring together the transactional data of Amazon Aurora with the analytics capabilities of Amazon Redshift. The integration helps you derive holistic insights across many applications, break data silos in your […]

At Amazon Web Services (AWS), we have been making steady progress towards bringing our zero-extract, transform, and load (ETL) vision to life. With Amazon Aurora zero-ETL integration to Amazon Redshift, you can bring together the transactional data of Amazon Aurora with the analytics capabilities of Amazon Redshift. The integration helps you derive holistic insights across […]

In this post, we deep dive into using AWS Database Migration Service (AWS DMS) to load data to Amazon Redshift and discuss how to optimize data loading. In a world where data is always growing and larger datasets need to be processed, it’s important to use the right tool for the right job. Amazon Redshift […]

The Industrial Internet of Things (IIOT) revolution has transformed the way various industries such as manufacturing and automobile work. Industry 4.0—also called the Fourth Industrial Revolution or 4IR—is the next phase in the digitization of the manufacturing sector, driven by disruptive trends including the rise of data and connectivity, analytics, human-machine interaction, and improvements in […]

Customers are migrating to Amazon Redshift to modernize their data warehouse solution and help save on their licensing, support, operations, and maintenance costs. To migrate data from an on-premises data warehouse to Amazon Redshift, you can use services such as AWS Database Migration Service (AWS DMS), AWS Schema Conversion Tool (AWS SCT), Amazon Simple Storage […]

This is a guest post from Ken Wu, Chief Technology Officer, and Steve Gordon, Director of Engineering at caresyntax. caresyntax provides the needed tools to make surgery smarter and safer. Our solutions use IoT, analytics, and AI technologies to automate clinical and operational decision support for surgical teams and support all outcome contributors. We help […]

Organizations build and deploy large-scale data platforms like data lakes, data warehouses, and lakehouses to capture and analyze a holistic view of their customer’s journey. The objective of such a data platform is to understand customer behavior patterns that influence satisfaction and drive more engagement. Applications today capture each point of contact with a customer, […]

This is a guest post by James Byrne, Engineering Leader at Zendesk, focusing on data pipeline development and operations for the Zendesk Explore analytics product, and Giedrius Praspaliauskas, AWS Solutions Architect. Zendesk is a CRM company that builds support, sales, and customer engagement software designed to foster better customer relationships. From large enterprises to startups, […]