The enterprise applications I’ve studied at H2kinfosys have been able to achieve this kind of scale thanks to the big data platforms: tools such as Hadoop and Spark that can process large, distributed datasets, which relational databases cannot efficiently handle. It is good that Hadoop provides storage, and it can scale horizontally across nodes, while Spark boosts performance with in-memory computing to speed up analytics and machine learning processing tasks. From standard tools confined to single-server capacity, these frameworks have grown to scale out flatly and manage both structured and unstructured data. Those who are studying to complete a Data Analytics Program in San Francisco through a bootcamp will learn about how these platforms enable real-time analytics, fraud detection, and recommendation systems for large enterprises.