Most developers who upload mobile apps to the App Store or Play Market have likely encountered unexpected bugs in new releases. To address this issue, a new build with the fix must be created and checked again by the platform where they are uploading. They also have to wait for the approval process again for the new version to be released. Unfortunately, this entire process takes a considerable amount of time, but there is an alternative way.

The total cost of ownership for mobile devices on premises is 2x-5x higher than opting for a cloud infrastructure provider.

‍ A survey suggests that 61% of companies' compliance teams have identified that keeping abreast of upcoming regulatory changes should be a top strategic priority. This indicates that businesses are not only striving to meet current compliance requirements but are also proactively staying ahead of them. However, maintaining such compliance requirements needs tight security strategies.

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

The latest release of Helix QAC and Klocwork features significant improvements to the static analysis tools, empowering development teams to shift left by fixing errors early, reducing development costs and releasing faster. Here, we provide an overview of the new features and functionality of the 2024.2 release.

Here’s a scenario: You’re a QA tester building automated tests for a new online email app. One test case requires you to confirm that the email reply button is working correctly. The challenge is that the email thread updates dynamically without changing its web address URL, complicating the process by limiting the effectiveness of using CSS selectors alone. So what else can you do? The answer: It’s time to bring in XPath selectors.

Generative AI doesn’t just work with unstructured data.

Developing high-quality products involves careful definition and tracking of both functional and non-functional requirements (NFRs). But what exactly are non-functional requirements? And what's the best way to keep track of them? Let’s dive into what non-functional requirements are and how they compare to functional requirements, review some common types of non-functional requirements with examples, learn best practices for writing them, then discuss how to track and manage them.

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.