Amazon Web Services FeedIntegrating Jenkins with AWS CodeArtifact to publish and consume Python artifacts Python packages are used to share and reuse code across projects. Centralized artifact storage allows sharing versioned artifacts across an organization. This post explains how you can set up two Jenkins projects. The first project builds the Python package and publishes…
Amazon Web Services FeedBuilding high-quality benchmark tests for Redshift using open-source tools: Best practices Amazon Redshift is the most popular and fastest cloud data warehouse, offering seamless integration with your data lake, up to three times faster performance than any other cloud data warehouse, and up to 75% lower cost than any other cloud data…
Amazon Web Services FeedThe serverless LAMP stack part 6: From MVC to serverless microservices In this post, you learn how to build serverless PHP applications using microservices. I show how to move from using a single Lambda function as scalable web host with an MVC framework, to a decoupled microservice model. The accompanying code examples…
Amazon Web Services FeedField Notes: Implementing a Digital Shadow of a Connected Vehicle with AWS IoT Innovations in connected vehicle technology are expected to improve the quality and speed of vehicle communications and create a safer driving experience. As connected vehicles are becoming part of the mainstream, OEMs (Original Equipment Manufacturers) are broadening the capabilities…
With this release, we’re adding the ability to set a default branch for the entire organization.
With a recent update of the Analysis Services Tabular engine in Azure Analysis Services (AAS) and in Power BI, Multidimensional Expressions (MDX) clients, such as Microsoft Excel, can now enjoy improved query performance. This MDX performance improvement alleviates some of the optimization burden for measures used in a PivotTable.