Interview With AI Specialist Monish Gandhi
For the next interview in our series speaking to AI leaders from around the world, we’ve welcomed experienced AI Specialist Speaker, Monish Gandhi of Gradient Ascent.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The 7 Top Data Engineering Tools in 2023
What’s the difference between knowledge and wisdom? Knowledge is knowing Excel is Turing-complete. Wisdom is not using Excel as your database. The best data engineering tools make your life easier. Speed up processes, simplify complex operations, give you insights into the machinery, and maybe save some $ along the way. In this article, we’ll give you an overview of the 7 best data tools for data engineering use cases.
Developing a Quality Strategy
Over the course of my career in testing and quality, I have seen many different quality strategies. All of them have been narrowly focused on testing, with perhaps a sprinkle of DevOps tossed in. I started to wonder why this is, and when I dove a bit deeper I realized that all of them were written by testers. It’s a truism in the industry that you can’t test quality into a product. Why is it then that all of our quality strategies revolve around testing or development methodologies?
What's the Best Way to Determine the Price of an API?
As an API provider, once you’ve decided to bring in revenue from your APIs, the next step is to figure out how you will price the usage. As with any business decision, there are plenty of ways to go about pricing an API. There are many short-term strategies to establish initial pricing and then iterate to find which pricing model and price points work best for your customers.
Building a future-ready FinTech ecosystem in the cloud
Learn how Berkshire Bank created a cloud-first FinTech ecosystem with Data Rocket and Talend Data Catalog.
Integrating Your Data Warehouse and Data Mesh Strategies
Data warehousing requires data centralization, whereas data mesh enables a decentralized approach to data access. Organizations might think that the solution to their data management strategy requires a choice between the two, but the reality is that both approaches can and should co-exist.
Chaos Engineering: Why Break Things on Purpose? #kongbuilders #kong #kongmesh
🗣️ In our next Kong Builders Livestream, Andrew Kew is joining us to tell us more about the topic of Chaos Engineering. With the move to distributed cloud architectures, it's becoming more critical to ensure that our platforms are designed for failure and behave the way we expect in these failure events.
Built with BigQuery: How Connected-Stories leverages Google Data Cloud and AI/ML for creating personalized Ad Experiences
Connected-Stories NEXT is an end-to-end creative management platform built on Google Cloud to develop, serve, and optimize interactive video and display ads that scale across any channel.
Engineering Productivity: What not to do.
Completely unrelated to the unfolding events at a prominent social media company, we thought it is a good idea to highlight some anti-patterns to measuring productivity, and a few things that should be common sense to do instead.
Featured Post
Innovative times for mobile: implications for app developers and testers
The past few months have seen various landmarks in mobile technology, notably from Apple and the Android community, and these announcements and launches represent far more than just new devices and operating systems. There are also some massive strides forward, including more focus on the user experience, which reflects the growing market demand for improvements in this area. Of course, mobile has always led the pack in terms of UX, but with more people engaging with the rest of the world via their smartphones, they increasingly expect a better experience.