Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. For analytic applications to properly leverage a hybrid, multi-cloud ecosystem to support modern data architectures, data observability has become even more important. I spoke to Mark Ramsey of Ramsey International (RI) to dive deeper into that last subject.
Learn about what's new in WebdriverIO v8. The primary goal for the new version of WebdriverIO was to transition from CommonJS to ESM in order to continue with important dependency updates and avoid security issues. Furthermore, we cleaned up some code, implemented a new Action API interface and streamlined the way WebdriverIO deals with global objects using the test runner.
When setting up a modern data stack, data warehouse modeling is often the very first step. It is important to create an architecture that supports the data models that you wish to build. I often see people going straight to writing complex transformations before thinking about how they want to organize the databases, schemas, and tables within their warehouse. To succeed, it is key to design your data warehouse with your models in mind before starting the modeling process.
In the past, the process improvement aspect of business process management relied on lengthy and time-consuming research. Process managers held discussions with stakeholders, made guesstimates about how or why a process underperformed, and spent days, sometimes weeks testing enhancements to see if they could observe a difference. Now, businesses have access to a data-driven process optimization tool: process mining.
Last time in this series, we looked at improving the developer experience. As your Lambda function gains more features and dependencies, you may notice that the bundle size begins to grow exponentially. This can negatively affect deployments and cold starts. A bigger bundle means deployments take longer to upload to the AWS cloud. The JavaScript engine has more work to do before it can execute the Lambda function. In this take, we will focus on optimizing our Lambda function.
This post contains a comprehensive list of all the features that we worked on and deployed over the last 3 months, all included in this 2022.4 release.
“The way I do work is to lead by a good example, and that’s why I’m trying to set up Xray as an example for test management and reporting.” Sharon Lundgren, Manager IT Quality at IU About the Company IU (International University) is the largest university in Germany. One of Europe's most cutting-edge educational institutions, IU has over 10,000 practice partners, over 1,000 lecturers, and about 480 professors.
CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP). For more information and to get started with COD, refer to Getting Started with Cloudera Data Platform Operational Database (COD).
Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP). For more information and to get started with COD, refer to our article Getting Started with Cloudera Data Platform Operational Database (COD).
