We navigate our world through mental “maps,” which give us a way to think about concepts and the relationships among them. The better our mental maps, the better we are able to understand cause-and-effect relationships, predict outcomes, and apply our knowledge to reality. With that in mind, this three-part Dev Delve series is about one such mental map that can guide how we think about accessing data and unlocking its value. Specifically, we’ll look at two key factors in data: shape and interface. And, once we define these concepts, we can think about the relationship between them.Read More >
In this Dev Delve, we’ll explore a topic easily overlooked when viewing data science as a whole: What are the best practices for managing and transforming data to create the results that provide insights or predictions?Read More >
Whether it's tracking the performance of a Roth IRA or gathering demographics for product testing, data plays an important role in our personal and professional lives every day. And while data can provide helpful insights and ease everyday tasks, leveraging it for deeper insights can pose real challenges. In this Dev Delve, we’ll focus on two common issues when it comes to working with data—the prevalence of “data silos” and the work involved in solving the “data integration problem.” We’ll unpack these terms and uncover the underlying details that contribute to each of these challenges.Read More >
I try really hard to avoid being the stereotypical angry dev nerd who tells users they’re doing it wrong. In my mind, it’s completely unacceptable to tell users they’re using an application beyond its intended use. Besides, isn’t that the whole point—don’t you want people to use something you created in a way that’s beyond what you could have imagined?
And it’s one of these instances that left me with a challenge I was determined to figure out: How do I maximize the number of L&D reports per user dashboard while limiting load times and reducing latency?Read More >