Systems | Development | Analytics | API | Testing

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

Welcome to the world of JMeter! Are you aiming to boost the speed of your requests with top-notch efficiency? We’ve combined professional advice, community-sourced tips, and the power of LoadFocus to help you achieve faster, more efficient JMeter request executions. Dive in to discover how to optimize your performance testing and leverage LoadFocus for online test script execution from various cloud locations.

You have built your performance test and executed the tests under load and your tests do not meet your requirements in terms of response times. Or you are unable to execute your tests with the number of concurrent users required. In this post we will give some insights into where you might want to start looking for the root cause of your performance issues.

A key benefit of the Snowflake Data Cloud is the elimination of data silos. Fundamental to this outcome is the ability of customers to operate and collaborate globally. To support this, the Data Cloud was designed to provide customers with the same product experience—including security and governance capabilities — across multiple cloud regions with the three major cloud providers: AWS, Azure, and Google Cloud.

Mobile and video games generate huge amounts of data that can be captured and analyzed by game developers to power gaming analytics initiatives and improve games.

The operating system is like the boss of your computer, handling security, networking, and keeping an eye on what’s happening. But tweaking or improving the core part of the operating system, called the kernel, is a bit tricky because it’s mainly focused on keeping things stable and secure. Most cool new stuff usually happens outside the core system, in what we call the user space. That’s where people add extra features or functions.

In the rapidly emerging artificial intelligence economy, organizations will split into two groups: those who are good at AI and those who are bad at business. Most experts agree that AI won’t replace humans, but instead augment us in a world of mixed autonomy. You’ll need new structures to harness AI’s transformative potential while managing its very real risks—the biggest of which is data privacy. So how can leaders handle AI and privacy risks?

January 28th is Data Privacy Day, an international effort to empower individuals and encourage businesses to respect privacy, safeguard personal data and enable trust. In fact, it so important that the National Cybersecurity Alliance has a focused program for a full week. Data privacy is not just a legal concern, it concerns everyone.