Author: Daniela Fernandez

Data-Intensive Applications Series :: Chapter I – Reliable, scalable, and maintainable applications

Hi there,

Thank you for visiting my blog!

The purpose of this blog is to record my journey as I learn about Designing Data-Intensive Applications by Martin Kleppmann and to share the lessons I learned with you!

My plan is to read a chapter every weekend, write detailed notes (which will always be included with my blog), and share a summary of the most important takeaways with you!

The first chapter, Reliable, scalable, and maintainable applications is very informative! I love the way the author explains concepts for data systems and shares examples of how developers can design apps while considering nonfunctional requirements in the early stages of the Systems Development Life Cycle. My main takeaway from the 1st Chapter is: Even if your application is small, always consider reliability, scalability, and maintainability in your design. Your app will not survive without these principles.

Take a look at my notes for more details.

Happy to start this “data trip” with you!

designing-data-intensive-applicationsDownload

Twitter Users’ Privacy Concerns

Our paper (Daniela Fernandez Espinosa & Lu Xiao), titled “Twitter Users’ Privacy Concerns: What do Their Accounts’ First Names Tell Us?”, is published at Journal of Data and Information Science.

In this paper, we describe how gender recognition on Twitter can be used as an intelligent business tool to determine the privacy concerns among users, and ultimately offer a more personalized service for customers who are more likely to respond positively to targeted advertisements.

Check it out here https://sciendo.com/article/10.2478/jdis-2018-0003