AWS Database Blog
Author: Danilo Poccia
Danilo works with startups and companies of any size to support their innovation. In his role as Chief Evangelist (EMEA) at Amazon Web Services, he leverages his experience to help people bring their ideas to life, focusing on serverless architectures and event-driven programming, and on the technical and business impact of machine learning and edge computing. He is the author of AWS Lambda in Action from Manning.
Import and export CloudFormation templates and CSV sample data with NoSQL Workbench for Amazon DynamoDB
NoSQL Workbench for DynamoDB is a client-side application with a point-and-click interface that helps you design, visualize, and query non-relational data models for Amazon DynamoDB. NoSQL Workbench clients are available for Windows, macOS, and Linux. Over time, NoSQL Workbench has added many features, such as the ability to use it with Amazon Keyspaces for (Apache […]
Store and analyze time-series data with multi-measure records, magnetic storage writes, and scheduled queries in Amazon Timestream
Time series is one of the most common data formats, particular when collecting information from applications, infrastructure, and IoT devices. Amazon Timestream is a serverless time series database that scales with your data and makes it easy to store and analyze your events at a much lower cost than relational databases. During AWS re:Invent 2021, […]
Data modeling with NoSQL Workbench for Amazon DynamoDB
When using a NoSQL database such as Amazon DynamoDB, I tend to make different optimization choices than what I am accustomed to with relational databases. At the beginning, it was not easy for me, because my relational database experience was telling me to do things differently. To help with that, AWS released NoSQL Workbench for […]