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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
- About the Course
- Course Structure
2. Spark Introduction and Basics
- Spark Fundamentals
- Components and Architecture
- Spark and Big Data
- Spark’s Java Main Abstraction: The DataFrame
- Quiz Yourself: Spark Introduction
3. Getting Started with Spark
- 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
4. DataFrame Basic Operations
- Working with DataFrame’s Schemas
- Dataset: a DataFrame of POJOs
- Transformations and Actions
- Transformations (I): Map and Filter
- Actions (I): Count, Take, and Collect
5. DataFrame Advanced Operations
- Data Partitioning and Shuffling
- The groupBy and groupByKey methods
- Joins