The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

Generative AI in manufacturing refers to using advanced AI algorithms and generative models to optimize various aspects of the production process. This technology enables manufacturers to create innovative product designs, streamline workflows, predict maintenance needs, and boost efficiency in frontline operations. By integrating generative AI, manufacturers can enhance decision-making, collaboration, and data insights, ultimately improving overall performance.

The dynamic landscape of product development continuously increases the scope of what is demanded from quality engineering (QE) professionals. So, it is not surprising that workplace learning and upskilling are critical to the organizational success, as highlighted by Workplace Learning Report: Without a doubt, the more technical side of the skill spectrum - e.g.

Imagine getting into your car to head to work on a hot day. Your car already knows and sets the temperature, the ambient lighting, and the music you prefer. Not only that, it optimizes your route, and with Level 3 autonomy, it can even drive you there. But what does the automotive industry have to do on the backend in order to achieve this kind of personalization?

Every QA tester knows: time is money. When something breaks down on your website or web application, it can cause major issues for users within minutes. Because you’re constantly working to prevent fires from spreading (or happening at all), it’s important to have numerous strategies at the ready to help you manage your time wisely. One of these QA testing timesavers is called smoke testing. But exactly what is smoke testing?

It’s no secret that more and more organizations are turning to solutions that can provide benefits of real time data to become more personalized and customer-centric, as well as make better business decisions.

A partnership between Google Cloud and Gretel lets data engineers generate synthetic data within BigQuery.

BigQuery’s pipe syntax introduces an intuitive, top-down syntax for understanding data transformations, and is used in Cloud Logging Log Analytics.

It’s a vague, unhelpful message that feels more like a riddle than an error. You know something doesn’t belong, but you're left guessing what that "token" is and why it's unexpected. Let's demystify what’s really going on behind the scenes and get your code running smoothly again. The "SyntaxError: Unexpected token" in JavaScript occurs when the code contains a character or symbol that the JavaScript engine does not expect, often due to a typo or syntax mistake.

Basel 3.1 marks a transformative revision to the Basel 3 Regulatory framework, created in response to the 2008 Financial Crisis. Research shows that nearly 60% of global banks are struggling to fully comply with these new regulations designed to reshape the financial sector. The stringent standards, particularly in critical areas like capital and risk management—specifically for credit and market risk—are further compounded by tight deadlines.