Systems | Development | Analytics | API | Testing

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Accelerate Your End-to-End Data Pipelines With Keboola Scaffolds

Automation brings incredible value to data teams and hyper-growing companies. It removes hours of sweating over repetitive and mundane tasks, which frees up time for data engineers, analysts, and scientists to get on with more engaging and revenue-generating work. Now, imagine that you can extend the benefits of automation beyond the selected repetitive tasks… to the entire data pipeline.

Why Your Performance Test Execution Strategy Is Important

When we consider performance testing most of the focus of the approach is placed on the script creation activity and making sure that requirements are covered, these are very important parts of your performance testing approach but so is the Test Execution. The frequency at which you run your tests is important and can save you time and effort in your script maintenance. A good performance testing execution strategy gives you the maximum amount of benefit it can by finding performance issues early.

A/B testing with Countly Product Analytics Platform

A/B Testing plugin lets you experiment with different variants of your remote configuration variables to find the best performing variant based on your goals. You can then roll-out the winning variant to all your users. You can take advantage of all your default/custom user properties and user actions (such as sessions, views, custom events etc.) while building the target audience for your experiment.

The Future is Here: How AI is Solving UI Test Automation Problems Today

Artificial Intelligence (AI) isn't just a buzzword - businesses across all industries are leveraging the technology today to solve a wide range of problems. Even test automation tools are benefiting from AI, from AI-powered visual recognition and intelligent test recommendations, to risk profiling and bug hunting. At every step in the QA cycle, we see AI infusing itself to accelerate test creation, maintenance and execution.

Software Testing Trends 2019 Recap | Industry Insights

2019 is almost over. The software testing landscape has seen numerous introductions in new testing approaches and innovations at an exponential rate. It has also witnessed the continuation of technological improvement, evolution, and reinvention. As we are progressing to 2020, let’s take a retrospective look at the top trends in test automation and see how we stand after one year.

Want to Build a Responsive and Intelligent Data Pipeline? Focus on Lifecycle

Today, enterprises need to collect and analyze more and more data to drive greater business insight and improve customer experiences. To process this data, technology stacks have evolved to include cloud data warehouses and data lakes, big data processing, serverless computing, containers, machine learning, and more.

5 best practices to innovate at speed in the Cloud: Tip #5 Accelerate data delivery to third party applications and teams through APIs

Billions of times each day, application programming interfaces (APIs) facilitate the transfer of data between people and systems, serving as the fabric that connects businesses with customers, suppliers, and employees. Having the right API strategy in place can make the difference between success and failure when it comes to utilizing APIs to deliver results, reduce response times, and improving process efficiency.

How Industrial Companies Can Achieve Transformative Outcomes With DataOps

Digital transformation provides a valuable opportunity for industrial companies to move away from manual processes and automate with digital technologies to improve safety, productivity, and quality for customers. But it can be a daunting endeavor for many. At Hitachi Vantara, we’ve developed an award-winning Smart Manufacturing Transformation methodology that can ensure full-scale digital transformation and success for our customers.