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Three Models for Building A Software Testing Team

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.

Self Service is Simply Efficient - Cloudera DataFlow Designer GA announcement

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.

Firebase vs. MySQL: Battle of the Databases

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.

7 AI/ML Use Cases to Watch

2023 is looking likely to be a breakout year for artificial intelligence (AI) and machine learning (ML). Some industry-watchers predict that recent breakthroughs in AI might lead to a new revolution in society akin to the industrial revolution, the invention of the internet, or the advent of the smartphone. Yet, 2023 doesn’t mark the invention of AI—just the year it went viral thanks to OpenAI’s ChatGPT technology.

Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

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.

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Continuous Load Testing | A Developer's Guide

Continuous load testing is a powerful way of preparing for surges in traffic, without needing real users. Imagine you're a software engineer working on a website that's seen a recent surge in traffic. Despite initial testing indicating that the website should be capable of handling the increased load, the website crashes during peak hours. Load Testing is the process of simulating real-world usage of a website or application. The continuous version is when you integrate it into your development process as part of a CI/CD pipeline.