Systems | Development | Analytics | API | Testing

A distributed database can offer benefits and tools to any company’s data storage and analytics processes — as long as they know how to use one.

Data science is vital to business success. It’s our window into the likes and habits of our customers, creating opportunities to glean insights from the mountains of data we collect every day. Data has always helped businesses with decision-making, but AI is taking it a step further. So much so that today it can even be applied to the practice of creating impressive email subject lines. Machine learning for information management is now a key ally for every organization worldwide.

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!

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?

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.

Architecture is an ever-living, ever-evolving entity. Architecture is constantly changing. As time passes and technology advances, it is inevitable that the underlying architecture of technology also evolves and mutates. Learn more about ever-evolving architecture below.

Moataz Nabil talked about React Native and DevOps at React Day Berlin. Here’s the recap to help you use Bitrise Pipelines to deploy React Native apps.