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Ultimate Guide to Apply Field Testing for Mobile Application

Field testing is a critical step in the last phase of mobile testing. After all regression tests pass, testers would go into the real environment to verify an application’s usability and behavior. The purpose of field testing is to determine how an application works before releasing it to end-users. Therefore, teams test to see how end-users use the application beyond the initial frequent use, in a real-world scenario. Testing is carried out using mobile networks only.

How Clearsense Built a Modern Healthcare Data Architecture with Kong Gateway and Kuma

This article was written by Charles Boicey, Chief Innovation Officer at Clearsense. If healthcare data is genuinely going to impact a person’s well-being, we have to consider all patient data. Patients don’t spend much time with clinicians allowing them to collect data. Even most hospitalized patients only stay for a week or so. That’s why healthcare companies need to pull in external data as well. The data collected directly from patients is just a small sampling.

Firecracker MicroVMs: Lightweight Virtualization for Containers and Serverless Workloads

Deciding whether to run applications in containers or virtual machines used to entail analyzing which trade-offs you could accept in exchange for certain advantages. With Firecracker, we can leverage the benefits of both technologies. In this blog post, we are going to talk about why exactly Firecracker is setting the serverless computing world on fire and what you need to know about this emerging technology.

Retailers find flexible demand forecasting models in BigQuery ML

Retail businesses understand the value of demand forecasting—using their intuition, product and market experience, and seasonal patterns and cycles to plan for future demand. Beyond the need for forecasts that are as accurate as possible, modern retailers also face the challenge of being able to perform demand planning at scale.

Unit Testing: What You Need To Know

In our latest guide covering the essentials and best practices for software development we are detailing some of the necessary basics that you need to know about unit testing before you get started. To explain examples, best practices and some of the top queries around unit testing we’ve invited contributors Nelson Ford, Founder and Principal Solutions Architect at Pilotcore Systems & Ryo Chikazawa, CEO of Autify to share their thoughts below.

The Benefits of Microapps Explained

Microapps are small applications designed to perform specific tasks. Many companies have leveraged the benefits of microapps because of the poor user experiences associated with monolithic enterprise apps and their overly burdensome features. As a result, microapps offers a suite of productivity improvements to many organisations and enhance the usability of large enterprise applications.

The Rise of the Citizen Developer

The amount of knowledge needed for application development has fallen rapidly over the last decade as more companies take advantage of no-code and low-code platforms. Today, citizen developers can build new business applications in graphics-based environments with drag-and-drop functionality. Instead of reaching out to IT professionals to improve functionality and solve business problems, they can use development tools made specifically for non-IT professionals.

Cloudera Completes SOC 2 Type II Certification for CDP Public Cloud

We believe security is the cornerstone of any legitimate data platform, and we’re excited to announce that Cloudera has successfully achieved SOC 2 Type II certification for Cloudera Data Platform (CDP) Public Cloud. Achieving our SOC 2 certification is the culmination of significant work across our organization and demonstrates to independent auditors that we adhere to industry-standard security controls and processes.

Standardizing Business Metrics & Democratizing Experimentationat Intuit

CDO Battlescars is a podcast series hosted by Sandeep Uttamchandani, Unravel Data’s CDO. He talks to data leaders across data engineering, analytics, and data science about the challenges they encountered in their journey of transforming raw data into insights. The motivation of this podcast series is to give back to the data community the hard-learned lessons that Sandeep and his peer data leaders have learned over the years.