Apache Spark

What is Apache Spark?

Apache Spark is a powerful and versatile open-source unified analytics engine designed to handle large-scale data processing tasks. It offers a fast and general-purpose processing engine that is compatible with Hadoop data and can operate within Hadoop clusters through YARN or Spark's standalone mode. Spark can seamlessly process data stored in various sources, including HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat, enabling businesses to leverage their existing data infrastructure

Highlights

• Supports Batch Processing: Provides batch processing capabilities similar to MapReduce, allowing for efficient processing of large datasets
• Enables Streaming Data Processing: Offers support for real-time streaming data processing, enabling businesses to derive insights from continuous data flows
• Facilitates Interactive Queries: Allows for interactive querying of data, enabling users to explore and analyze data in an interactive and responsive manner
• Integrates with Machine Learning: Integrates with machine learning frameworks, enabling businesses to build and deploy advanced analytics models at scale.