In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change.
Unless you live under an actual rock and haven’t hauled yourself into modern times, I’m sure you know – and most likely use – JavaScript. You know, the versatile and dynamic programming language that powers the web and beyond. From client-side scripting to server-side computing, and even robotics, JavaScript is everywhere. However, like any good craftsperson, a JavaScript developer knows that their work is only done once it’s been tested.
By now, when we hear the words “service mesh” we typically know what to expect: service discovery, load balancing, traffic management and routing, security, observability, and resilience. So, why Kong Mesh? What does Kong Mesh offer that would be more difficult to obtain with other solutions? Why is Kong Mesh with Red Hat OpenShift a great pairing? We’re happy to announce that the Kong Mesh 2.2.0 UBI Images are available in the Red Hat Ecosystem Catalog.
How Fivetran Transformations help you accelerate time to value and utilize the best practices of data transformation’s top tooling - dbt Core.
Sometimes, you find yourself searching for bugs without any specific purpose or direction. This occurs when your QA team lacks the proper mindset and strategy for exploratory testing. Without clear guidance or goals, your test coverage will be inadequate, and you'll have less productive use of your time. In his book Exploratory Software Testing: Tips, Tricks, Tours, and Techniques to Guide Test Design, James Whittaker provides a practical solution to help you level up your exploratory testing.
Google BigQuery is a fully managed, enterprise-scale, cloud data warehouse that helps you store, manage, and analyze your data. This article will take you through the fundamentals of Google BigQuery. I’ll also share optimization opportunities to improve performance when you’re using both BigQuery and ThoughtSpot.
BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. This of course makes us wonder: what’s the difference?
Constituent services can be supercharged through government agencies’ IT modernization and digitization efforts. To achieve success on these initiatives, a strategic and calculated approach to testing is needed. In their recent Tech Spotlight on IT Modernization, Federal Computer Week (FCW) spoke with Dr. Grigori Melnik, Chief Strategy Officer at Tricentis, about how the implementation of automated testing can expedite the IT modernization process while ensuring confidence in the outcomes.
Welcome, fellow programmers, to the world of clean and efficient code! Imagine this: you’re staring at a piece of code that looks like a tangled mess of spaghetti, and your brain feels like it’s doing gymnastics in a clown costume. But fear not, for I bring you the sacred “7 Secrets to Writing Clean and Efficient Code Every Programmer Should Know.” So grab your coffee mugs, put on your coding capes, and embark on this epic quest to conquer the wild beasts of code chaos!
