Big Data with Apache Spark: Utilising Distributed Computing to Process and Analyse Massive Datasets Across a Cluster of Nodes
Modern organisations generate data at a pace that traditional, single-machine systems cannot handle efficiently. Clickstreams, application logs, sensor readings, transaction records, and customer interactions can quickly grow into terabytes or petabytes. The challenge is not just storing this information, but transforming it into something useful—fast, reliably, and at scale. Apache Spark is one of the […]