Apache Spark

Apache Spark is a unified analytics engine for large-scale data processing, with built-in modules for streaming, SQL, machine learning, and graph processing.

Key Features

RDD Operations
Spark SQL
MLlib

Best Practices

Memory Management
Data Partitioning
Job Optimization

Example

# PySpark DataFrame Example from pyspark.sql import SparkSession from pyspark.sql.functions import col spark = SparkSession.builder.appName("SparkExample").getOrCreate() df = spark.read.csv("data.csv", header=True) result = df.filter(col("value") > 100).groupBy("category").count()

Important Considerations

Cluster Configuration
Resource Allocation
Data Skew

Tools & Resources

Hadoop Integration
Big Data Overview
Machine Learning