Category: Amazon Redshift

Last week, AWS hosted free half-day conferences in London and Paris. My colleagues and I demonstrated how developers can use generative AI tools to speed up their design, analysis, code writing, debugging, and deployment workflows. These events were held at the GenAI Lofts. These lofts are open until October 25 (London) and November 5 (Paris). […]

AWS Community Days have been in full swing around the world. I am going to put the spotlight on AWS Community Day Argentina where Jeff Barr delivered the keynote, talks and shared his nuggets of wisdom with the community, including a fun story of how he once followed Bill Gates to a McDonald’s! I encourage […]

Near real-time data replication: RDS for MySQL zero-ETL with Redshift streamlines data ingestion with filtering, multiple integrations, and CloudFormation support for customized insights without managing complex pipelines.

When Dr. Swami Sivasubramanian, VP of AI and Data, was an intern at Amazon in 2005, Dr. Werner Vogels, CTO of Amazon, was his first manager. Nineteen years later, the two shared a stage at the VivaTech Conference to reflect on Amazon’s history of innovation—from pioneering the pay-as-you-go model with Amazon Web Services (AWS) to […]

Last week, AWS Heroes from around the world gathered to celebrate the 10th anniversary of the AWS Heroes program at Global AWS Heroes Summit. This program recognizes a select group of AWS experts worldwide who go above and beyond in sharing their knowledge and making an impact within developer communities. Matt Garman, CEO of AWS […]

We’re just two days away from AWS Summit Sydney (April 10–11) and a month away from the AWS Summit season in Southeast Asia, starting with the AWS Summit Singapore (May 7) and the AWS Summit Bangkok (May 30). If you happen to be in Sydney, Singapore, or Bangkok around those dates, please join us. Last […]

“Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more. A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift. These solutions help them gain insights […]

It’s probably no surprise that generative artificial intelligence and machine learning were the stars of the show, but there were several other bright lights from the day-long cloud conference.