Apache Spark

Apache Spark is an open-source, distributed data processing engine designed for fast and scalable big data analytics. It enables in-memory computation for batch processing, real-time streaming, machine learning, and graph workloads.

Key Features of Apache Spark:

• High-performance, in-memory data processing engine.
• Supports batch processing, streaming, SQL, ML, and graph analytics.
• Distributed computing across clusters.
• Compatible with Hadoop, Kubernetes, and cloud platforms.
• APIs available in Scala, Python, Java, and SQL.

Apache Spark Usage:

# Switch to root user
$ sudo su
$ sudo apt update
$ cd /opt
$ spark-shell
$ Start Spark services: start-master.sh
 
# Access Apache Spark in your browser:
$ http://server-ip:8080
 
  

Disclaimer:
Apache Spark is an open-source project maintained by the Apache Software Foundation. This content is provided for informational purposes only. We are not affiliated with or endorsed by the Apache Software Foundation. All trademarks and product names belong to their respective owners.