Systems | Development | Analytics | API | Testing

Improve Code in Your Ruby Application with RubyCritic

RubyCritic provides visual reports highlighting code smells, code structure, ease of testing, and test coverage in your Ruby application. It's in active development, with new code analysis tools often being introduced as new features. It's well worth keeping track of RubyCritic's releases. This article will touch on some of RubyCritic's benefits, its dependencies, and how to read its code reports. Let's get going!

Ep 60: The Modern Milkman's CSO, John Hughes on Using Data to Save Our Oceans from Plastic

Each year, around 8 million tons of plastic waste enter the ocean, killing wildlife and damaging the enviroment for future generations. Much of this pollution originates from the wasteful packaging used for everyday grocery products. But a greener grocery alternative is making waves from across the pond. Joining us today is John Hughes, Chief Strategy Officer at The Modern Milkman, a UK-based grocery delivery company that brings locally sourced goods directly to customers without any single-use plastics.

Breaking down marketing data silos with BigQuery

Welcome back to the Marketing Analytics Series! In this video, Kelci will demonstrate how to ingest and query marketing data with BigQuery. From an augmented understanding of your data to leveraging BigQuery’s public datasets, discover how you too can break down marketing data silos with BigQuery.

The hidden cost of skipping usability testing

After working in UX for many years across several companies, I can confidently say this: usability testing is always a fragile issue. Companies expect their product to be exceptional and deliver value to their customers but believe that user experience testing is a time/cost sink. I’ve heard the claim (countless times) that user experience testing limits and prevents dev teams from pushing new products and features.

Diving Deep Into a Data Lake

A Data Lake is used to refer to a massive amount of data stored in a structured, unstructured, semi-structured, or raw form. The purpose is just to consolidate data into one destination and make it usable for data science and analytics algorithms. This data is used for observational, computational, and scientific purposes. The database has made it easier for AI models to gather data from various resources and implement a flawless system that can make informed decisions.

White Label Analytics: What It Is, Why It Matters & 5 Key Benefits

A key consideration when buying an embedded analytics solution is not only whether it supports embedding of charts and reports, but that it can integrate analytics in a way that is indistinguishable from the experience of your application. Learn what white-label BI is.

Parser Combinators in Elixir: Taming Semi-Structured Text

The need to manipulate strings comes up quite often, whether it's to validate user-provided values or transform text into structured data that can be used programmatically. Most often, we'll reach for regular expressions to accomplish this task, but sometimes there's a better solution to the problem: parser combinators. In this two-part article, we'll explore how they work. Before moving on, let's define what 'parsing' is: Source: Wikipedia.

Visualize Azure serverless workflow progress in realtime with pubsub

A suitable way to update a front-end from back-end processes is to use pubsub over WebSockets. In this video I'll show how to use Ably, a cloud based pubsub service, to visualize the progress of a serverless workflow implemented with Azure Functions and Durable Functions. About Ably Ably is an enterprise-grade pub/sub messaging platform. We make it easy to efficiently design, quickly ship, and seamlessly scale critical realtime functionality delivered directly to end-users. Every day, we deliver billions of realtime messages to millions of users for thousands of companies.