Apache Spark

The lightning-fast unified analytics engine for big data and machine learning.

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Why Apache Spark?

In-Memory Processing

100x faster than Hadoop by caching data in RAM for iterative algorithms.

Unified Engine

Batch (Spark SQL), streaming (Structured Streaming), ML (MLlib), and graph processing (GraphX).

Multi-Language Support

APIs for Python (PySpark), Scala, Java, R, and SQL.

Distributed Computing

Horizontal scaling across thousands of nodes with fault tolerance.

Data Source Integration

Connect to HDFS, S3, Cassandra, Kafka, and more.

Where Apache Spark Shines

Large-Scale ETL
Real-Time Stream Processing
Machine Learning Pipelines
Data Lake Analytics
Interactive Queries
Use case 1

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