Category: Amazon Redshift

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Babu Elumalai is a Solutions Architect with AWS Organizations are generating tremendous amounts of data, and they increasingly need tools and systems that help them use this data to make decisions. The […]

Russell Nash is a Solutions Architect with AWS Have you been looking for a straightforward way to encrypt your Amazon Redshift data loads? Have you wondered how to safely manage the keys and where to perform the encryption? In this post, I will walk through a solution that meets these requirements by showing you how […]

Christopher Crosbie is a Healthcare and Life Science Solutions Architect with Amazon Web Services Zach Christopherson, an Amazon Redshift Database Engineer, contributed to this post Did you ever have a need for complex string parsing in Amazon Redshift and wish you could simply add f_parse_url_query_string(url) to your SQL query? Have you ever tried to weigh which would be less […]

Nick Corbett is a Big Data Consultant for AWS Professional Services What makes outstanding business intelligence (BI)? It needs to be accurate and up-to-date, but this alone won’t differentiate a solution. Perhaps a better measure is to consider the reaction you get when your latest report or metric is released to the business. Good BI […]

This post was last reviewed and updated August, 2022 with a section on Deploying pgbouncer in Elastic Kubernetes Service (EKS). NOTE: You can now use federated queries in Amazon Redshift to query and analyze data across operational databases, data warehouses, and data lakes. For more information, please review the Amazon Redshift documentation article, “Querying Data […]

NOTE: Amazon Redshift now supports enabling and disabling encryption with 1-click. For more information, please review this “What’s New” post. ————————————— John Loughlin is a Solutions Architect with Amazon Web Services. A customer came to us asking for help expanding and modifying their Amazon Redshift cluster. In the course of responding to their request, we […]

Christopher Crosbie is a Healthcare and Life Science Solutions Architect with Amazon Web Services When your doctor takes out a prescription pad at your yearly checkup, do you ever stop to wonder what goes into her thought process as she decides on which drug to scribble down? We assume that journals of scientific evidence coupled […]

This is a guest post by Ryan Desmond, Solutions Architect at Concurrent. Concurrent is an AWS Advanced Technology Partner. With Amazon Kinesis developers can quickly store, collate and access large, distributed data streams such as access logs, click streams and IoT data in real-time. The question then becomes, how can we access and leverage this […]

Markus Schmidberger is a Senior Big Data Consultant for AWS Professional Services Amazon Redshift is a fast, petabyte-scale cloud data warehouse for PB of data. AWS customers are moving huge amounts of structured data into Amazon Redshift to offload analytics workloads or to operate their DWH fully in the cloud. Business intelligence and analytic teams […]

Guy Ernest is a Solutions Architect with AWS This post builds on Guy’s earlier posts Building a Numeric Regression Model with Amazon Machine Learning and Building a Multi-Class ML Model with Amazon Machine Learning. Many decisions in life are binary, answered either Yes or No. Many business problems also have binary answers. For example: “Is […]