Personally identifiable information (PII) and protected health information (PHI) are two types of sensitive data that fall under one or more data privacy regulations. HIPAA and GDPR are examples of the regulations that govern what organizations can and need to do with PII and PHI. When you work with large data sets, it can be challenging to maintain compliance with these regulations.
In our previous blog post in this series, we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects.
We've moved from desktop to SaaS, to a real UX focus. Now we're seeing new vendors that are analytics-first. They’re creating new applications that are challenging the established players. Historically, applications were transaction-first; you build your software thinking about your workflow or the transactions that you want people to do.
Custom code to connect with data APIs is quickly becoming a thing of the past.
Only a good user interface is capable of delivering a good user experience. And people love user-friendly experiences — it’s a no-brainer. Android developers and testers perform mobile tests to deliver apps that drive a high user retention rate through a great user interface. For applications that have made a place in the market and have some good loyal users, it is essential that they keep their UI upbeat, always. In such scenarios, keeping a check on the UI on every build is imperative.
Facebook recently announced that it will effectively discontinue Facebook Analytics on June 30, 2021. The announcement was not particularly informative and was limited to pointing out ways of retaining the tool’s users by means of diverting business to other features that Facebook already offers. However, the reasons behind this decision were not addressed by Facebook and it brings up the question of what this means for the industry.
Performance testing is a form of software testing that focuses on how a system running the system performs under a particular load. This is not about finding software bugs or defects. Different performance testing types measures according to benchmarks and standards. Performance testing gives developers the diagnostic information they need to eliminate bottlenecks.
With its low-code and no-code features, Xplenty brings the power of ETL and data integration to the masses. But even with Xplenty’s tremendously user-friendly interface, it’s possible that the transformations you design don’t work exactly as you intended—which means you need to debug and resolve the issue fast. Fortunately, there are multiple debugging options in Xplenty for exactly this reason.
In Kong Mesh 1.2, we added a number of new features to help enterprises accelerate their service mesh adoption. One of the major new features was native Open Policy Agent (OPA) support within the product. In the demo image above, you can see a number actions taking place across a simple web application. These “actions” ultimately are various GET, POST, and DELETE methods (API calls) across various tiers of our microservice application.
