Apache Spark

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or large distributed clusters with Spark Connect.

When to Use

• Petabyte-Scale Distributed Data Processing: Transforming massive datasets across cloud clusters with Apache Spark 3.5+.
• Real-Time Streaming Pipelines: Low-latency stream processing with Spark Structured Streaming.
• Enterprise Lakehouse Architectures: Querying and updating Delta Lake, Apache Iceberg, and Apache Hudi tables.
• Distributed SQL & Complex Analytical Aggregations: Distributed joins, window functions, and analytics with Catalyst Optimizer.

Quick Start

from pyspark.sql import SparkSession
from pyspark.sql.functions import col, avg