Stream Processing with Spark Streaming: Windows into Real-Time Data
Apache Spark Streaming brings the power of Spark’s batch processing engine into the world of real-time data. Built on top of the core Spark engine, it allows...
Recent Posts
Inside Spark 1.4: How Akka Powers Coordination and Scheduling
Apache Spark 1.4, one of the most widely adopted distributed data processing engines of its time, leans heavily on Akka — the actor-based toolkit — for its i...
Purely Functional Libraries in Scala: Composability Meets Trees
In the world of Scala, purely functional programming offers a powerful way to write predictable, composable, and reusable code. Libraries like Cats and Scala...
Understanding Garbage Collection in the HotSpot JVM: A Comparison of Algorithms
The Java Virtual Machine (JVM) has always been a powerful abstraction layer, and its memory management system — particularly garbage collection (GC) — is a c...
Immutable Types in Scala: Why They Matter and How to Use Them Right
In Scala, immutability is not just a style — it’s a principle that shapes how we write correct, composable, and predictable code. Immutable types prevent who...