Systems | Development | Analytics | API | Testing

Managers of data teams add value through alignment. Learn the essential criteria for evaluating the success of data team managers.

The amount of big data that enterprises churn out is simply staggering. All this information is worthless unless organizations unlock its true value for analytics. This is where ETL proves useful. Traditional ETL (extract, transform, and load) remains the most popular method for moving data from point A to point Z. It takes disparate data sets from multiple sources, transforming that data to the correct format and loading it into a final destination like a data warehouse.

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Ricardo Michel Reyes, Chief Science Officer at Erudit AI.

Version 13 of Next.js, a well-established React framework from the Vercel company, was released last week. The announcement was made at the Next.js Conf and took the community by storm. Developers worldwide spread the news about the features and goodies announced live on October 25th. Now, as the dust slowly settles, we can go through what's new in Next.js 13.

Rigidity, delayed updates, or slow time-to-market - these problems can turn software testing into a bottleneck to the development pipeline and eventually a hindrance to the company’s overall growth. This is where agile methodology enters the scene, offering a flexible and responsive testing solution. Since its introduction, agile principles and practices have been popularly adopted among development teams who aim for fast, effective delivery and exceptional software experiences.

Learn the best practices and steps for creating a winning mobile testing strategy. To put any idea into a practical action plan, you need a strategy. Same goes for mobile app testing: if you don’t have a strategy, you can’t test your apps effectively or efficiently. In this blog post, we’ll explain the best practices and steps for creating a winning mobile testing strategy.

True Fit, a data-driven personalization platform built on Google Data Cloud to provide fit personalization for retailers by sharing curated datasets.

Without users, products mean nothing. So why is it that so many organizations analyze API and user behavior metrics as an afterthought? My theory would be that they just don’t have the right tools in place to actually collect, analyze, and use these usage metrics. With so many products aiming to improve their user experience and customer satisfaction, tools like Moesif are exactly what is needed.