- Apache Spark is an open-source engine for analyzing and processing big data. A Spark application has a driver program, which runs the user’s main function.
- In this Apache Spark tutorial, we’ll be seeing an overview of Big Data along with an introduction to Apache Spark Programming.
- Apache Spark, büyük ölçekli veri analizi uygulamalarını çalıştırmak için kullanılan açık kaynaklı bir paralel işleme çerçevesidir.
- Such as interactive queries as well as stream processing. The most Sparkling feature of Apache Spark is it offers in-memory cluster computing.
- Apache Spark is a powerful analytics engine, with support for SQL queries, machine learning, stream analysis, and graph processing.
- These series of Spark Tutorials deal with Apache Spark Basics and Libraries : Spark MLlib, GraphX, Streaming, SQL with detailed explaination and examples.
- Apache Spark is an open-source software that processes Big Data faster. Spark uses distributed computing, in-memory caching, and optimized query execution.
- Apache Spark is a tool in the Big Data Tools category of a tech stack. Apache Spark is an open source tool with 39.1K GitHub stars and 28.1K GitHub forks.
- Figure 1 – Apache Spark – The unified analytics engine (Source). Some of the most important features of using Apache Spark as follows.
- All the functionalities being provided by Apache Spark are built on the top of Spark Core. It delivers speed by providing in-memory computation capability.