Hadoop – the foundation for distributed data processing
As a Java developer, you’re in the perfect position to harness this power. Hadoop is built with Java, offering a rich set of tools and APIs to craft scalable big data solutions. Let’s dive into the core components of Hadoop’s HDFS and MapReduce. Here’s a detailed explanation of each component.
Hadoop distributed file system
Hadoop distributed file system or HDFS is the primary storage system used by Hadoop applications. It is designed to store massive amounts of data across multiple commodity hardware nodes, providing scalability and fault tolerance. The key characteristics of HDFS include the following:
- Scaling out, not up: HDFS splits large files into smaller blocks (typically, 128 MB) and distributes them across multiple nodes in a cluster. This allows for parallel processing and enables a system to handle files that are larger than the capacity of a single node.
- Resilience...
