tarball.tar.gz

DataFrameBasicsRun

SparkDataframeExampleDB

This course serves as a comprehensive introduction to the Spark Java API. Experienced Java developers will use object-oriented programming (OOP) principles to apply theory to Apache Spark and big data practice.

You’ll learn the basic components and architecture of Spark, a leading framework for building big data applications, before implementing them in Java. You’ll also explore data transformations like grouping, sorting, and joining. Further, you’ll learn to support SQL operations in the database and create a big data and batch template application with Java.

By the end of the course, you’ll be familiar with Apache Spark and know how to integrate big data with Java environments through the Spark Java API. You’ll wrap up by learning about monitoring and support functions for a live Spark Java environment.

Combining a leading big data framework with a leading programming language, this course will empower you to work efficiently with large volumes of data, and process at scale and speed.

Mastering Big Data with Apache Spark and Java

## Maven projects
For the small projects, and even for the main batch application template project, this course abides by a standard project structure based on Maven, and specifically relies on the pom.xml file for the configuration.

For this reason, this lesson focuses on describing the main Maven project structure parts, which can also serve as a guide in the future to come back to if we need a Maven-based Spark type of project.

The core structure of the Maven projects follows the usual Maven conventions centered around the so-called **Project Object Model (POM)** file, so it can be helpful to revise this first briefly.

[The previous project](https://www.educative.io/courses/mastering-big-data-apache-spark-java-api/running-the-first-spark-program) POM XML file can be a good starting point to understand the configurations explained in this lesson:




# Maven projects
For the small projects, and even for the main batch application template project, this course abides by a standard project structure based on Maven, and specifically relies on the pom.xml file for the configuration.

For this reason, this lesson focuses on describing the main Maven project structure parts, which can also serve as a guide in the future to come back to if we need a Maven-based Spark type of project.

The core structure of the Maven projects follows the usual Maven conventions centered around the so-called **Project Object Model (POM)** file, so it can be helpful to revise this first briefly.

[The previous project](https://www.educative.io/courses/mastering-big-data-apache-spark-java-api/running-the-first-spark-program) POM XML file can be a good starting point to understand the configurations explained in this lesson:




Get introduced to the common structure of the Maven projects we'll use in the code examples and projects.

Course Introduction

Spark Introduction and Basics

Getting Started with Spark

DataFrame Basic Operations

DataFrame Advanced Operations

Spark SQL and Other Functionalities

Building a Big Data Batch Application

Deployment and Cluster Execution

Monitoring and Performance Fundamentals

Conclusion

Apendix

Spark Maven Based Projects

Maven projects