Spark Overview
Spark is a fast, in-memory data processing engine, designed for big data. It's known for its ability to run large datasets across multiple machines.
It supports various programming languages like Python, Java, and Scala.
Spark's Key Features
- Speed: Optimized for processing large datasets.
- Scalability: Easily handles increasing data volumes.
- Ease of Use: Provides a user-friendly API.
- Unified Engine: Supports multiple programming languages.
Spark DataFrames
Spark DataFrames are a fundamental data structure in Spark. They allow you to work with data in a structured format, making it easier to perform operations like filtering, mapping, and aggregation.
They provide a concise and efficient way to manipulate data with various operations.
Spark SQL
Spark SQL is a way to query data in Spark. It is more powerful than basic filtering and provides support for more complex operations such as aggregations and windowing.