“Needle in a haystack” is one of the most commonly used phrases in discussions about Big Data. It’s a big messy job, all the more frustrating, because with a vast data lake, you know the answer is ...

In a variety of venues, the application of declarative programming practices and principles are starting to expand in ways that solve many long-standing frustrations with making technology work ...

A new model of declarative programming languages has emerged for building infrastructure as code, promising more simplicity and safety than imperative languages. In the last dozen years or so, we’ve ...

Declarative programming is a method to abstract the control flow for logic required for software to perform an action. Instead, it involves stating what the task or desired outcome is. For instance, ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

When high-level programming languages first emerged in the 1950s, code was mainly based on combinations of command-based instructions and mathematical expressions. Because of this, imperative ...

Some network teams are finding power and simplicity in the shift from telling devices what to do, using imperative programming, to describing what they should be, using declarative programming.