In the ever-evolving landscape of software testing, the transition from manual to automated testing is a journey filled with misconceptions, challenges, and significant rewards. Recently, I had the privilege of hosting a conversation with two industry experts, David DiCocco and Alex Martins, who shared their personal experiences and insights on this topic.

The surge in data creation and interactions over the past few decades presents unprecedented challenges for organizations. Many are grappling with widely dispersed applications and data to navigate this data deluge. Gartner’s survey found that organizations with poor data quality would incur losses of an average of $15 million per year. The findings also shared that almost 60% of organizations surveyed were unaware of how much insufficient data costs their business due to a lack of measurement.

New BigQuery continuous queries execute continuously processing SQL statements as events arrive, for insights that are always up to date.

IoT is driving the digital metamorphosis in the banking industry. The surge in internet-enabled devices, like smartphones, tablets, and smartwatches, signifies an increase in opportunities for fintech software development to scale their business through the Bank of Things (BoT). IoT technologies are enabling real-time connections, making banking more efficient and customer-centric.

What comes to mind when you think of an outdated website? Your answer will depend on how far back you’ve seen the internet, but it could range anywhere from glossy interfaces to the default blue, Times New Roman links. But even a few years of age could put your website behind the competition, even if it doesn’t look like MySpace or the first version of IMDB. Its audience and goals could outgrow its design, especially if you don’t make small changes often.

‍McKinsey’s latest research projects that generative AI could contribute between $2.6 trillion and $4.4 trillion annually across various sectors. Experts have also observed that integrating AI-driven automation, threat detection, and low-code platforms redefines next-gen software development. Whether it is code generation, bug fixing, or even designing a new digital component, generative AI is seeping into all product engineering processes.

At Snowflake, we are committed to helping customers derive meaningful insights from data with simplicity and speed. That’s why we’re thrilled to announce the general availability of our enhanced RANGE-based window frame, which will help accelerate time-series analytics. For customers across industries, the ability to perform time-series analytics is crucial. This often involves calculating rolling statistics that remain robust despite gaps or nonuniform time-series data.

Welcome back to our exploration of Node.js' built-in test runner! In the previous article, we laid the groundwork for writing and running basic tests in your projects by exploring a few simple examples. In this installment, we'll dive into practical examples of how to use mocking, code coverage analysis, test hooks, and strategies for testing HTTP servers. These tools will help you write more comprehensive and reliable tests, ultimately leading to more robust Node.js applications. Let's get started!

We released two big updates to our Sketches feature: a much improved UI and a dedicated link in the navigation bar. You can now visually convey your ideas, designs, and plans effortlessly.

In the fast-paced and highly competitive business world, we live in today, it’s no longer enough to simply offer a good product or service. To truly stand out from the crowd, businesses need to go above and beyond by providing exceptional customer service. Why customer service is important? Because customer service is the secret ingredient that can make or break a business. It’s the intangible factor that leaves a lasting impression on people’s minds and hearts.