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Secret weapons for testing transformations

Have you developed a vision for modernizing your testing? Now it’s time to make that vision a reality. When you set out to transform your testing practice, don’t just aim to improve a few processes—instead, strive to make sweeping changes in the culture and activities of your testing organization. By definition, a transformation should entail major changes. It’s your chance to implement an entirely new vision for testing.

What is the Difference Between Data Compliance and Data Privacy?

When deploying any application that holds customer or user data, both data compliance and data privacy are important areas to consider. Yet these two areas of data management are sometimes misunderstood. This blog post will shed some light on the differences between data compliance and data privacy.

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High Scale Postman Load Testing for Kubernetes

In this Postman load testing tutorial, you'll learn how to run a large scale load test in Kubernetes using your existing Postman collections. Because HTTP services don't have a graphical user interface, it's common to build collections of requests using Postman during the development process. These collections are useful for running quick functionality tests as you develop each endpoint. However, as the service grows you eventually need to test it in a more realistic way with larger volume. This is called a load or stress test. Speedscale is a Production Data Simulation Platform that includes this stress/load testing capability out of the box.

Flex your FitBit stats using OAuth 2 authentication and Talend

We’re back with another Job of the Week – but this time, we’re taking a step back to cover a concept we’ve skipped over in previous segments: OAuth2 authentication. Richard’s demonstrations often show simpler shortcuts to accessing data – but these shortcuts may not always be practical in real-world examples. Never fear! We’ll arm you with the know-how you need to make your data hacks just as impressive in real life.

The Modern Data Lakehouse: An Architectural Innovation

Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Blending Data in the Data Warehouse

This is a guest post with exclusive content by Bill Inmon. Bill Inmon “is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, first magazine column, held the first conference, and was the first to offer classes in data warehousing.” -Wikipedia. Our key points: One of the characteristics of most computing and analytical environments is that the environment consists of only one type of data.

Kubernetes Logs Collection with MiNiFi C++

The MiNiFi C++ agent provides many features for collecting and processing data at the edge. All the strengths of MiNiFi C++ make it a perfect candidate for collecting logs of cloud native applications running on Kubernetes. This video explains how to use the MiNiFi C++ agent as a side-car pod or as a DaemonSet to collect logs from Kubernetes applications. It goes through many examples and demonstrations to get you started with your own deployments. Don’t hesitate to reach out to Cloudera to get more details and discuss further options and integrations with Edge Flow Manager.