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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.

Mastering Big Data with Apache Spark and Java– Developer Discount

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What will you learn from this course?

1. Course Introduction

1. About the Course
2. Course Structure

2. Spark Introduction and Basics

1. Spark Fundamentals
2. Components and Architecture
3. Spark and Big Data
4. Spark’s Java Main Abstraction: The DataFrame
5. Quiz Yourself: Spark Introduction

3. Getting Started with Spark

1. Running the First Spark Program
2. Spark Maven Based Projects
3. Enriching the Basic DataFrame Program
4. Deep Dive: Transformations and Data Storage
5. Quiz Yourself: Getting Started with Spark

4. DataFrame Basic Operations

1. Working with DataFrame’s Schemas
2. Dataset: a DataFrame of POJOs
3. Transformations and Actions
4. Transformations (I): Map and Filter
5. Actions (I): Count, Take, and Collect

5. DataFrame Advanced Operations

1. Data Partitioning and Shuffling
2. The groupBy and groupByKey methods
3. Joins