Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...
Github is struggling to keep up with a malware campaign that’s a new twist on typosquatting. The play is straightforward: Clone popular repositories, add...
Many organizations use identity providers (IdPs) to authenticate users, manage their attributes, and group memberships for secure, efficient, and centralized identity management. You might...
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In today's data-driven world, SQL (Structured Query Language) stands as a cornerstone for managing and manipulating database systems. A core component...
Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they...
Amazon Redshift ML empowers data analysts and database developers to integrate the capabilities of machine learning and artificial intelligence into their data warehouse. Amazon...
November 2023: This post was reviewed and updated with the general availability of Multi-AZ deployments for provisioned RA3 clusters.Originally published on December 9th, 2022....
This blog post is co-written with James Sun from Snowflake. Customers rely on data from different sources such as mobile applications, clickstream events from...
At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. With this launch, Amazon Athena supports two open-source query engines: Apache Spark and...
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes...
Table of contents Overview SQL, which stands for Structured Query Language, is a powerful language used for managing and manipulating relational databases....
The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud....
