Category: Technical How-to

In today’s data-driven world, the ability to effortlessly move and analyze data across diverse platforms is essential. Amazon AppFlow, a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. In this blog post, you explore the new Google BigQuery connector in Amazon AppFlow and discover how it simplifies the process of transferring data from Google’s data warehouse to Amazon Simple Storage Service (Amazon S3), providing significant benefits for data professionals and organizations, including the democratization of multi-cloud data access.

Introduction Many customers use Microsoft Azure Active Directory (Azure AD) as their centralized corporate directory. One of the common requests from customers is to enable their users to use corporate credentials to access Amazon Elastic Kubernetes Service (Amazon EKS) clusters. This approach enables customers to use their already established way of providing authentication for corporate […]

Customers who are considering migrating their Azure Cosmos DB workloads to Amazon DynamoDB ask what differences to expect. In this post, we discuss the differences to expect and plan for when migrating from Azure Cosmos DB to DynamoDB. DynamoDB is a serverless key-value database optimized for common access patterns, typically to store and retrieve large […]

Customers running Google Kubernetes Engine (GKE) clusters can now use the Amazon Elastic Kubernetes Service (Amazon EKS) to visualize GKE cluster resources. This post describes how to use Amazon EKS Connector to connect a GKE cluster to the Amazon EKS console. The EKS console provides a single pane of glass to visualize all your Kubernetes […]