AWS Database Blog

Category: Amazon Keyspaces (for Apache Cassandra)

Build an Amazon Keyspaces (for Apache Cassandra) data model using NoSQL Workbench

In this post, we build an end-to-end data model for an internet data consumption application. Data modeling provides a means of planning and blueprinting the complex relationship between an application and its data. Creating an efficient data model helps to achieve better query performance. An inefficient data model can slow development and performance, increase costs, […]

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Compress and conquer with Amazon Keyspaces (for Apache Cassandra)

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra-compatible database service that enables you to run Cassandra workloads more easily by using a serverless, pay-as-you-go solution. With Amazon Keyspaces, you don’t have to worry about configuring and optimizing your Cassandra cluster for your mission-critical, operational workloads. Amazon Keyspaces provides you […]

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How to set up command-line access to Amazon Keyspaces (for Apache Cassandra) by using the new developer toolkit Docker image

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and fully managed Cassandra-compatible database service. Amazon Keyspaces helps you run your Cassandra workloads more easily by using a serverless database that can scale up and down automatically in response to your actual application traffic. Because Amazon Keyspaces is serverless, there are no clusters or […]

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Loading data into Amazon Keyspaces with cqlsh

The Cassandra Query Language Shell (cqlsh) is an open-source command line shell that you can use to run CQL commands and perform database administrative tasks, such as creating and modifying tables. You can use cqlsh to get started with Amazon Keyspaces (for Apache Cassandra)—a scalable, highly available, managed Cassandra-compatible database—by loading data from a CSV […]

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