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.

Depending on which article you read, we’re either headed for a deep recession or may avoid one altogether. With so many economic indicators and mixed signals, it’s anyone’s guess. One thing is for sure – managing software testing capacity in light of hiring freezes and layoffs is top of mind for software engineering leaders. Even if your company has the budget to hire in-house, building a software testing team while navigating macroeconomic uncertainty is difficult.

Apache Spark and Hadoop MapReduce are two popular big data processing frameworks used in the industry. Both of these frameworks have the capability to handle large-scale data processing, but they differ in terms of their architecture and design.

In this article, you'll learn how to implement a user authentication system in JavaScript. By the end of the tutorial, you'll have a REST API, a database to store user information, authentication via JSON Web Tokens, and even verification emails!

In today’s dynamic business environment, enterprises realize the importance of a quality-first approach to test automation. Prioritizing quality at speed over a faster release pipeline is essential for ensuring the success of an organization. However, implementing a successful quality-first approach requires an end-to-end collaboration, where quality becomes the responsibility of all the different personas involved in the software development life cycle (SDLC).

How Sift Delivers Fraud Detection Workflow Backtesting at Scale powered by BigQuery.

Effective data governance builds a culture of trust and collaboration around data.

Using App Store Connect is not always a straightforward process. In this App Store Connect Guide, you'll learn how to efficiently upload and release iOS apps to Apple’s App Store. You’ll also learn how to test with TestFlight, automate with Bitrise, and more.

Data management is quite complex. Organizations continue to struggle with their data initiatives irrespective of how mature their organizations' data management environments are. And the reality in most cases, is that many companies and data teams cannot keep up with overall data pipeline needs. Different teams across departments have a variety of data needs and all are important for visibility - but budgets, resources, and execution gaps creates limitations in delivery.