Systems | Development | Analytics | API | Testing

In this blog, the team at Yellowfin Japan demonstrates how to take advantage of Yellowfin's data visualization capability in the form of Z Charts. So, what is a Z Chart, and what does it look like?

We just announced the general availability of Cloudera DataFlow Designer, bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post, we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

We are thrilled to announce that the new DataFlow Designer is now generally available to all CDP Public Cloud customers. Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service.

Worried about your bounce rate? This article tells you whether your bounce rate is good or it needs to be improved (we’ll also show you how)

What metrics should you include in your healthcare KPI dashboard? According to 8 healthcare businesses/agencies, here are the 18 most important ones.

A guide to finding the happy balance between enough governance to tame data chaos and enough self-service to empower stakeholders.

SQL or NoSQL? That is the question. Successful companies need reliable, robust databases to handle their day-to-day data management needs. However, with so many technologies on the market, it can be difficult to know which database provider is right for your company. Firebase and MySQL are two database solutions built very differently.

You don’t need to be a data science expert to make use of platform analytics to gain better insights into your business. From Google Analytics to deep-dive data analytics for your APIs, big data is your friend when it comes to understanding your company. The right analytics platform can open up your data in a user-friendly way that empowers you to fuel better-informed business decisions based on your performance, customer data and analytics.

Data Warehouse and Database are two commonly used terms in the field of data management, but they serve different purposes.