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Real-world Applications

Real-world Applications

This tutorial explores real-world applications of Apache Spark.

ETL Processing Workflows

Extract, Transform, Load (ETL)

Spark is commonly used for ETL processing.

Data Lake Architecture with Spark

Building a Data Lake

Spark can be used to build a data lake.

Implementing Data Pipelines

Data Pipeline Components

Spark can be used to implement data pipelines.

Real-time Analytics Applications

Real-time Data Processing

Spark Streaming enables real-time analytics.

Recommendation Systems

Building a Recommendation Engine

Spark can be used to build recommendation systems.

Anomaly Detection

Detecting Anomalies

Spark can be used for anomaly detection.

Building a Complete Data Processing System

Components of a Data Processing System

Spark can be used as a core component of a complete

Related Articles

  • Introduction
  • Installation
  • Architecture
  • Execution Modes
  • Spark Submit Command
  • Spark Core: RDD
  • DataFrames and Datasets
  • Data Sources and Formats
  • Spark SQL
  • Spark Structured Streaming
  • Spark Unstructured Streaming
  • Performance Tuning
  • Machine Learning with MLlib
  • Graph Processing with GraphX
  • Advanced Spark Concepts
  • Deployment and Production
  • Real-world Applications
  • Integration with Big Data Ecosystem
  • Best Practices and Design Patterns
  • Hands-on Projects