Systems | Development | Analytics | API | Testing

By Noam Harel In the fast-paced and ever-evolving business landscape, innovation has become the lifeblood of success. Yet, many organizations fail to harness the full potential of innovation due to a significant gap between their business units. This gap, like a hidden chasm, prevents the sharing of best practices, stifling growth and hindering progress.

We're excited to announce the partnership between Choreo and Moesif, bringing you an integration for improved API analytics and monetization. Choreo is our application development suite designed to accelerate the creation of digital experiences. It simplifies the process of building, deploying, and monitoring cloud-native applications, boosting productivity and fostering innovation in organizations.

Great data visualizations have the power to persuade decision makers to take immediate, appropriate action. When done well, data visualizations help users intuitively grasp data at a glance and provide more meaningful views of information in context. Good data visuals give busy workers a high-level summary of important data. They also offer a big-picture perspective and highlight trends, anomalies, and outliers while giving users the option to drill down into details and ask new questions when needed.

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.