Month 20: Utilizing Spark and Scala for Big Data Analysis
Week 1: Introduction to Scala
- Day 1: Understanding Scala
- Day 2: Scala Basics: Variables, Data Types, Control Structures
- Day 3: Collections in Scala: Arrays, Lists, Sets, and Maps
- Day 4: Functions and Higher-Order Functions in Scala
- Day 5: Object-Oriented Programming in Scala
Week 2: Advanced Scala Concepts
- Day 1: Functional Programming in Scala
- Day 2: Traits in Scala
- Day 3: Handling Errors and Exceptions in Scala
- Day 4: Concurrency and Parallelism in Scala
- Day 5: Building Projects with Scala
Week 3: Introduction to Spark
- Day 1: Understanding Spark
- Day 2: Setting Up a Spark Environment
- Day 3: Basics of Spark RDD (Resilient Distributed Dataset)
- Day 4: Data Transformation with Spark
- Day 5: Data Actions with Spark
Week 4: Advanced Spark Concepts
- Day 1: Introduction to Spark SQL
- Day 2: Machine Learning with Spark MLlib
- Day 3: Streaming Data with Spark Streaming
- Day 4: Graph Processing with GraphX
- Day 5: Optimizing and Tuning Spark Applications
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