Gain insights into Spark Java API, learn about data transformations and SQL operations, and discover how to integrate big data and Java for scalable, high-speed processing.

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

Spark is a single node computational engine.

Spark is a cluster-based computational platform.

Which of the following statements correctly defines Spark?


Which of the following statements correctly defines Spark?

**(Select all that apply.)** Which of the following are high-level Spark components? 


(Select all that apply.) Which of the following are high-level Spark components?

A service for acquiring and managing resources on the cluster

A service for spinning up and tearing down resources on a cluster


What is the Spark cluster manager?

Where do executor processes live?

What are the processing units called in the Spark vocabulary, and what process works on them? 


What are the processing units called in the Spark vocabulary, and what process works on them?

A DataFrame is an API for developers to work with.


A DataFrame is a Spark library’s structure, and a placeholder for raw data.


A DataFrame is a container of data for Spark to work with.


**(Select all that apply.)** What defines a DataFrame? 

(Select all that apply.) What defines a DataFrame?

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

Quiz Yourself: Spark Introduction