Apache Spark Hands on Specialization for Big Data Analytics

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Overview

In-depth course to master Apache Spark Development using Scala for Big Data (with 30+ real-world & hands-on examples) What you'll learn: Understand the relationship between Apache Spark and Hadoop Ecosystem Understand Apache Spark use-cases and advanced characteristics Understand Apache Spark Architecture and how it works Understand how Apache Spark on YARN (Hadoop) works in multiple modes Understand development life-cycle of Apache Spark Applications in Python and Scala Learn the foundations of Scala programming language Understand Apache Spark's primary data abstraction...

Syllabus

Introduction
Section 1 - Apache Spark Introduction and Architecture Deep Dive
Working with Text Files to create Resilient Distributed Datasets (RDDs) in Spark
Creating RDDs by Distributing Scala Collections in Spark
Understanding the Partitioning and Distributed Nature of RDDs in Spark
Developing Mastery in Spark's Map Transformations and lazy DAG Execution Model
Assignment - Using Map Transformation on Real World Big Data Retail Analytics
Developing Mastery in Spark's Filter Transformation
Assignment - Using Filter and Map on Apache Web Server Logs and Retail Dataset
Developing Mastery in RDD of Scala Collections