BigDataFrameworks
BigDataFrameworks refers to a family of software systems designed to process, store, and analyze large-scale data across distributed clusters. These frameworks provide abstractions for data storage, fault-tolerant execution, parallel processing, and often higher-level interfaces for data transformation, querying, and analytics. They support batch and streaming workloads, enabling organizations to build data pipelines, data lakes, or real-time analytics platforms.
Historically, many frameworks emerged around the Hadoop ecosystem, which combined a distributed storage layer (HDFS) with
Key components commonly found in big data frameworks include storage layers (HDFS or object stores like S3),
Deployment models vary: frameworks run on clusters managed by resource managers such as YARN, Mesos, or Kubernetes,
Overall, big data frameworks aim to enable scalable, fault-tolerant analysis of vast datasets across diverse data