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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.
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
- Deep Dive: Internals of Spark Execution
- Transformations (II): FlatMap and Distinct
5. DataFrame Advanced Operations
- Data Partitioning and Shuffling
- The groupBy and groupByKey methods
- Joins
- Sort and OrderBy
- Union, UnionByName, and DropDuplicates