Systems | Development | Analytics | API | Testing

By Jason Bloomberg, President, Intellyx Part 2 of the Demystifying Data Observability Series for Unravel Data In part one of this series, fellow Intellyx analyst Jason English explained the differences between DevOps and DataOps, drilling down into the importance of DataOps observability. The question he left open for this article: how did we get here? How did DevOps evolve to what it is today, and what parallels or differences can we find in the growth of DataOps?

In a fast-paced world that produces more data than it can ingest, the right Python ETL tool makes all the difference. But not all Python tools are made the same. Some Python ETL tools are great for writing parallel load jobs for data warehousing, others are specialized for unstructured data extraction. In this article, we’ll explore the 7 best tools for ETL tasks and what business requirements they help you fulfill: Let’s dive right into the best tools and see how they compare.

In this continuation, Allen Loew, a Principal Quality Engineer and Sauce Labs advocate, explains how saucectl has transformed his team's test efficiency. We’re excited that Sauce Labs new fellowship program is in full swing. Over the next several weeks, we’d like to introduce you to the five fellows who are working hard to improve and open source Elemental Selenium.

Banking, financial services and insurance (BFSI) as a sector plays a major role in the global market for software testing services, with a particular focus on the security aspect of software products and digital processes. In this article, we’ll take a closer look at how companies in banking and finance are approaching software testing, as well as how they’re using it to handle the growing pressure to embrace and succeed with digital transformation.

Not sure what makes a good headline? Dive into this guide packed with 23 copy headline examples and all the details you need to write an effective headline.

Wondering whether competitive benchmarking is worth the effort? Let’s go through the major benefits and check out what it brings to the table.

Software developers tend to work in packs. We pool our creativity (and our code) to build software and our strength in numbers helps reduce the risk of errors. The more people who check code and scan for bugs, the cleaner our final product will be. However, this places a premium on effective communication. We will end up accessing, reading, writing and changing the same files over and over again, and it’s vital we keep duplication of work to a minimum.