Systems | Development | Analytics | API | Testing

Logging in Go: Choosing a System and Using it

Go has built-in features to make it easier for programmers to implement logging. Third parties have also built additional tools to make logging easier. What's the difference between them? Which should you choose? In this article Ayooluwa Isaiah describes both of these and discusses when you'd prefer one over the other.

Go Fast: Getting Started with Sanic for Python

Tired of waiting for sluggish HTTP requests to complete before your backend code can proceed with other things? Sanic is an asynchronous web framework in Python, that is built to be fast. In a world where Flask and Django are the most preferred web development options in Python, Sanic is the new kid on the block. It’s a promising alternative that is not only faster but also delivers efficiency, simplicity, and scalability.

Introducing BigQuery column-level security: new fine-grained access controls

We’re announcing a key capability to help organizations govern their data in Google Cloud. Our new BigQuery column-level security controls are an important step toward placing policies on data that differentiate between classes. This allows for compliance with regulations that mandate such distinction, such as GDPR or CCPA.

SOLID Design Principles Explained: The Single Responsibility Principle

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.

The journey to democratize data continues

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.

How to empower your remote data team

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.

The Rise of AI in Analytics

Dashboards are great for monitoring your business, but they aren’t able to provide you with actionable insights in real-time. AI analytics is on the rise, and it’s changing the way we consume information. Join us on 12th February to understand more about the current use and adoption of dashboards and AI analytics. You’ll also hear about Gateshead NHS Foundation Trust’s analytics journey, and how they are looking at automated data discovery to optimise their A&E services.

What's New in Talend Winter '20 Release

It has become commonplace to say that data is the lifeblood of digital transformation and that it affects every aspect in business. However, companies are faced with an uphill battle to close the data intelligence gap and truly enable the digital transformation of their organization. With the Winter ’20 release of Talend Data Fabric, we believe we are bringing the power of data intelligence to the next level.