Systems | Development | Analytics | API | Testing

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Building a unit testing suite with XCTest, Swift, and Bitrise

For example, let’s say that an app that we’re working on supports multiple themes, and that we’re keeping track of the user’s currently selected theme (and other user-configurable settings) through a SettingsController — which in turn uses Foundation’s UserDefaults API to persist those settings, like this.

How Long Should You Hang Onto Your Data?

One of the most common questions that businesses operating under GDPR, LGPD or other similar data regulations have is how long should you keep data? As answers to this question typically seem to vary widely to clear up confusion, we’ve gathered insights from business leaders & specialists across a variety of industries to try and answer this question and shed light on what are reasonable timeframes to keep hold of data, whether that may be financial, employee or other potentially sensitive data.

3 Ways to Send Emails with Ruby

For many developers, Ruby on Rails framework not only allows them to build web applications, websites, and efficient database solutions, but it can help them optimize mailing operations. You can easily use Ruby on Rails mailer, an automatic tool to build transactional messages of any kind, and make proper authentication. In this article, we review three main ways to work with email sending in RoR, which include some Ruby gems, the Net::SMTP class, and the facilities of the Socket system.

Cloudera acquires Eventador to accelerate Stream Processing in Public & Hybrid Clouds

We are thrilled to announce that Cloudera has acquired Eventador, a provider of cloud-native services for enterprise-grade stream processing. Eventador, based in Austin, TX, was founded by Erik Beebe and Kenny Gorman in 2016 to address a fundamental business problem – make it simpler to build streaming applications built on real-time data. This typically involved a lot of coding with Java, Scala or similar technologies.

Anomaly detection 101

What is anomaly detection? Anomaly detection (aka outlier analysis) is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior. Machine learning is progressively being used to automate anomaly detection.

The Application of External Data in Everyday Life | Rise of the Data Cloud

In Part 2 of this episode, Jennifer Forrester deep dives into the value and application of external data. She talks about how data warehouses help real estate developers, telecom companies, and city planners look at traffic patterns to help determine public and product demands. Rise of the Data Cloud is brought to you by Snowflake.

[Webinar] Smooth Transition from Manual to Automated Testing

In our recent “Test Automation Landscape 2020” report, we found that "Quality at Speed” is now industry-standard, and the adoption of Agile and DevOps continues to increase. These two trends fuel the demand for automation QA professionals. If you are currently a manual tester transitioning to automation, our speaker’s stories will inspire action and prepare you for the journey ahead.