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How to Handle the InterruptedException Checked Exception in Java

Threads are a basic concept in concurrent and parallel programming . They allow programs to do multiple things at the same time and are often used for performing computationally intensive tasks in the background without interrupting the main program. This is accomplished through multithreading, a common programming and execution model which allows multiple threads to exist within the context of one process. These threads share resources but are able to execute independently.

3 mindset shifts to succeed with test automation

Test Automation is a necessary precondition for high-quality modern development. Testing and test automation must be integrated into the software delivery processes to give the team the right level of feedback, at the right time, and to ensure high-quality software. One of the biggest challenges of building a test automation framework that works on a long-term, scalable basis, is that it requires fundamentally different conditions compared to a predominantly manual testing approach.

How Snowflake CIO and CDO, Sunny Bedi drives efficiency and decision intelligence at scale with Live Analytics

For Snowflake CIO and CDO, Sunny Bedi, “life after dashboards” isn’t just a catchy tagline – it’s how he runs his business. At the helm of Snowflake’s 250-person IT and security organization, Bedi oversees a range of strategic initiatives including security and access control, data quality, and general system availability and performance.

Golang Debugging Tutorial

Golang or Go is a well-established programming language ground built for speed and efficiency. Robert Griesemer, Rob Pike, and Ken Thompson designed the language at Google. It was first announced to the public in 2009, and it was made open source in 2012. Go is the preferred choice among developers, but its simplicity can also leave it vulnerable to bugs and other programming issues.

Explaining machine learning models to business users using BigQueryML and Looker

Organizations increasingly turn to AI to transform work processes, but this rapid adoption of models has amplified the need for explainable AI. Explaining AI helps us understand how and why models make predictions. For example, a financial institution might wish to use an AI model to automatically flag credit card transactions for fraudulent activity. While an accurate fraud model would be a first step, accuracy alone isn’t sufficient.