Imagine you’re driving a car. You can see what’s happening on the road in front of you, but you have no idea what’s going on under the hood. It’s like driving blindly without any gauges or a dashboard to give you vital information. You don’t know how fast you’re going, how much fuel you have left, or if something is about to go wrong. In the same way, data engineers who lack data observability are like drivers with a limited view of the road.

Want to know how fast your page should load? This article covers everything you need to know about the average page load time and more!

Today’s iOS application market is as competitive as never before. In 2022, active iOS users account for more than 1.2 billion, with 2.2 billion units sold worldwide. For a developer or an organization, that means they have got a market of over 1 billion users if they are planning to upload their application to the App Store. And how important does its quality need to be? In 2021, a study revealed that iPhone users spend more than 39 hours per week operating their phones.

End to end testing is a modern-day technique that is commonly used in agile and other testing methodologies. It broadly appeals to many groups, including the likes of developers, testers, managers, etc., and tests the entire software, ensuring the app behaves as expected. Here’s a comprehensive guide on the best end to end testing tools and frameworks for your organization.

Agile testing is a methodology that focuses on releasing high-quality software regularly. To achieve this goal, you must regularly test your software to understand what it can and cannot do. You’ll need the right testing metrics to understand the results and make decisions based on them. Here’s why testing will fit into the Agile methodology and the metrics you’ll need to test efficiently.

Let's simplify ETL to identify seven criteria that shouldn't be overlooked. Although these requirements seem simple, my purpose is to highlight that ETL requirements will differ if your company is looking at operational data pipelines vs. analytical use cases.

Love beautiful websites? Well, we do too! However, to build an aesthetic website, a robust and scalable framework is absolutely paramount! For that, choosing the best framework for your web development projects is one of the crucial steps. But, it can be a bit of a tough choice when you’re only in the initial phase. Moreover, so many questions can come to your mind as well like – Which framework should you use? What features should be included? Does it have good documentation and support?

The java.util.concurrent.TimeoutException is a checked exception in Java that is thrown when a blocking operation times out. Since java.util.concurrent.TimeoutException is a checked exception, it must be explicitly handled in methods which can throw this exception - either by using a try-catch block or by throwing it using the throws clause.

Autonomous testing is an emerging testing practice in which tests are completely created, driven, and managed by AI/ML, eliminating the need for human intervention. Essentially, autonomous testing is a higher level of automation for automation testing. This is a recent shift in the testing industry as AI technologies evolve to be more advanced, opening a promising era of human-machine integration testing.

Think of a data professional (data scientist/data engineer/business analyst/…), and guess what they do all day. Design big data algorithms? Build state-of-the-art, scalable pipelines? Discover insights that drive business growth? Wrong. Data professionals spend over 40% of their time preparing data before they even start using it for their job. The data preparation process is the most time-consuming task in a data operative’s schedule.