SOLID is one of the most popular sets of design principles in object-oriented software development. All of them are broadly used and worth knowing. But in this first post of my series about the SOLID principles, I will focus on the first one: the Single Responsibility Principle.
Data is the new oil and a critical differentiator in generating retrospective, interactive, and predictive ML insights. There has been an exponential growth in the amount of data in the form of structured, semi-structured, and unstructured data collected within the enterprise. Harnessing this data today is difficult — typically data in the lakes is not consistent, interpretable, accurate, timely, standardized, or sufficient. Scully et. al.
The advantages of remote work have been praised for a while now. Team members gravitate towards the flexible work schedule and enjoy an increase in personal freedom, while companies benefit from a talent pool unencumbered by geographical borders. From remote-first tech giants like Automattic (which powers a third of the internet), to newbies such as NASA, companies are steadily progressing towards telecommuting. But working from home comes with its own unique set of challenges.
Atlassian announced today that Xray (Xpand IT) has received Atlassian Partner of the Year 2019 Fastest Cloud Growth for their outstanding contribution and achievements during the calendar year 2019. This includes exceptional efforts in developing new business, thought leadership, and products and services that complement Atlassian. Xray (Xpand IT) was one of 6 Marketplace Vendor recipients honored as Marketplace Vendor of the Year for our continuous effort throughout the year.
Welcome back to another one of our Community Roundups! We hope that all of you are safe and sound, and that the recent situation hasn't got you completely down. If you’re back home and are looking for some inspiration for upgrading your Bitrise setup, check out these articles — and a couple of happy little tweets, just for good measure. Let's get started!
Ever since we started logging with Bugfender back in 2015, we’ve been working towards integration with Firebase, the app development platform created by Google. Firebase is famous for the breadth of its integration libraries and millions of people use the product around the world, drawn to its sleek UI and range of features. Our primary goal has been integration with Firebase Crashlytics Log, which underpins the entire platform.
Think about your experience when you book a hotel room, order a taxi, or purchase something online. You reach the best offer in a few clicks and you get additional guidance with ratings to so you can predict the quality of the goods or services you’re buying. It’s really helpful to have all that additional information. So why don’t we get a similar experience when consuming data?
A secret to adopting machine learning that has nothing to do with the actual technology. Machine learning has the potential to transform your business. To automate processes, uncover new insights, make your products and services better, and customers happier. Integrating the capability into your organization requires operational transformation and lots (and lots) of experimentation. But, you know this already.
