Systems | Development | Analytics | API | Testing

Understand how unenforced Key Constraints can benefit queries in BigQuery.

For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. But as the data volumes, data variety, and data usage grows, users face many challenges when using Hive tables because of its antiquated directory-based table format. Some of the common issues include constrained schema evolution, static partitioning of data, and long planning time because of S3 directory listings.

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Stoyan Mitov, CEO of Dreamix and Co-founder of the Citizens app.

Your organization likely relies on stored procedures based on business logic that has worked well in the past. More recent evolutions in areas like application development, automation, open-source application code, workloads, and web services could mean that you need to reassess your stored procedures to find opportunities for improvement.

Writing better code is not only about creating code that works as expected but code that is consistent, simple, and readable by other members of your development team.

The wider adoption of Agile and DevOps practices in recent years have led to a significant shift in the way software is developed and tested. 2 emerging concepts are shift left testing (moving testing to the left on the project timeline) and shift right testing (performing testing in production). Both carry their own advantages, and in this article we’ll explore primarily the concept of shift right testing and explore the differences between shift left vs. shift right.

In this section, we’ll explore the basic manual testing interview questions that all testers should be able to answer. These questions aim to discover the candidate’s understanding of manual testing, automation testing, the differences between the two, as well as the process of testing.

Your organization has an unstoppable digital transformation plan—at least that’s what you thought before you started encountering the disadvantages of data silos. Your teams were fired up and ready to go, but data separated by different systems created obstacle after obstacle to your digital transformation dreams.

The insurance industry is quickly moving into a digital-first future where emerging technologies will reshape the way policies are sold, claims are processed, and risks are managed, and where market leaders are automating critical workflows to deliver seamless experiences, enhance customer satisfaction, and unlock profitability.

How data technologies circumvent ugly tradeoffs and satisfy competing priorities.