Every company is a digital company. Whether you are a traditional e-commerce company who has been selling goods online for years, a healthcare company who recently needed to accelerate online visits for telehealth, or a company whose business model has drastically shifted due to Covid, the need for digital transformation is here.

Application programming interfaces, or APIs, are how software talks to other software. They abstract the complexity of underlying systems so the systems can connect in novel ways even if they were never intended to interoperate. Consequently, APIs are key ingredients in both most modern digital experiences and the execution of many of today’s most exciting business opportunities.

Thanks to Linus Torvalds, the creator of not only Linux, but also the most popular version control system - Git, multiple developers can simultaneously work on the development of the same application, ramping up the speed of production. Git was revolutionary - it enabled developers to keep track of code changes and collaborate seamlessly across different projects.

Today we are introducing a new series of blog posts that will take a look at recent enhancements to Apache Impala. Many of these are performance improvements, such as the feature described below which will give anywhere from a 2x to 7x performance improvement by taking better advantage of all the CPU cores. In addition, a lot of work has also been put into ensuring that Impala runs optimally in decoupled compute scenarios, where the data lives in object storage or remote HDFS.

In the first blog in this series, I talked about test speed, and why it shouldn’t be your first priority. Rather, you should focus on getting accurate test results back consistently. This week, I’ll discuss the power of parallelization in testing.