Mastering Big Data with Apache Spark and Java

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.

Intermediate

55 Lessons

17h 15min

Certificate of Completion

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.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

30 Playgrounds

7 Quizzes

This course includes

30 Playgrounds

7 Quizzes

Course Overview

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 cre...Show More

What You'll Learn

Learn Apache Spark fundamentals and gain an overview of its building blocks

Learn Advanced Transformations and leverage Spark’s powerful library, Spark SQL

Acquire practical experience through examples, coding, and recipes

Develop a big data batch application with foundations in both design patterns and good programming practices using Spark

What You'll Learn

Learn Apache Spark fundamentals and gain an overview of its building blocks

Course Content

Course Introduction

Get familiar with Apache Spark, its architecture, Java API, and big data processing.

About the Course

Course Structure

Spark Introduction and Basics

Get started with Apache Spark's architecture, in-memory computing, and scalable data processing.

Spark Fundamentals

Components and Architecture

Spark and Big Data

Spark's Java Main Abstraction: The DataFrame

Quiz Yourself: Spark Introduction

Getting Started with Spark

Explore setting up and running Spark programs, configuring Maven projects, and utilizing DataFrames.

Running the First Spark Program

Spark Maven Based Projects

Enriching the Basic DataFrame Program

Deep Dive: Transformations and Data Storage

Quiz Yourself: Getting Started with Spark

DataFrame Basic Operations

Break down complex ideas for effective manipulation of DataFrames and Datasets in Spark.

Working with DataFrame's Schemas

Dataset: a DataFrame of POJOs

Transformations and Actions

Transformations (I): Map and Filter

Actions (I): Count, Take, and Collect

Deep Dive: Internals of Spark Execution

Transformations (II): FlatMap and Distinct

Actions (II): Reduce and Aggregate Functions: Max, Min, and Mean

Quiz Yourself: Schema of a DataFrame

DataFrame Advanced Operations

Deepen your knowledge of advanced DataFrame operations like partitioning, joins, and UDFs in Spark.

Data Partitioning and Shuffling

The groupBy and groupByKey methods

Joins

Sort and OrderBy

Union, UnionByName, and DropDuplicates

Accumulators and Broadcast Variables

UDFs: User-defined Functions

Quiz Yourself: DataFrame Advanced Operations

Spark SQL and Other Functionalities

8 Lessons

Follow the process of leveraging Spark's SQL, schema manipulation, file/database ingestion, and serialization.

Building a Big Data Batch Application

8 Lessons

Piece together the parts of building a Spark batch application, including architecture, driver program design, ingestion, and testing.

Deployment and Cluster Execution

3 Lessons

Try out executing and deploying Apache Spark applications in local and cluster modes.

Monitoring and Performance Fundamentals

4 Lessons

Unpack the core of interpreting Spark logs, using SparkUI, and fundamental performance optimization techniques.

10.

Conclusion

1 Lesson

Examine further resources for Spark and Java development to continue your learning.

11.

Apendix

2 Lessons

Break down complex tools and techniques for local Spark development and debugging using IntelliJ.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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