Digital aspirations for global organizations are driving innovation-led initiatives. As Agility and Flexibility within the development life cycle become the norm, it is essential to re-emphasize the need for not just delivering fast, but also delivering quality and value at speed. By putting customers at the center of the value chain, organizations are aiming to streamline their value delivery systems.
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.
Automation testing is the name you hear from almost all software engineers. Ever wondered why? This is because of the versatility of automating the test cases across multiple OS platforms, browsers, and browser versions. Though Selenium is the most widely used tool, there are other testing frameworks that has almost similar features as Selenium. Also, iOS is the widely used operating system as it gives an edge over Android by offering better synchronization between hardware and software.
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).
As an application developer, have you ever had to troubleshoot an issue that only happens in production? Bugs can occur when your application gets released into the wild, and they can be extremely difficult to debug when you cannot reproduce without production data. In this blog, I am going to show you how to safely send your production data to development applications deployed using a service mesh to help you better debug and build production proof releases.
Fall is on the way out, and we have a lot to be grateful for: hot apple cider, extra helpings of stuffing, and oh yes — a bounty of exciting updates from Sauce Labs! Let's dive in.
