Apache Scala Training

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Course level:Intermediate

Apache Scala is a powerful, high-level programming language that combines functional and object-oriented programming paradigms. It runs on the Java Virtual Machine (JVM) and is designed to be concise, elegant, and scalable. Apache Scala training is often aimed at developers who want to learn how to build complex, distributed applications using Scala, particularly in big data environments like Apache Spark.

This Apache Scala training course is designed to provide both beginners and experienced developers with a comprehensive understanding of the Scala programming language and its application in distributed data processing frameworks such as Apache Spark.

Apache Scala Training
Apache Scala Training – Learn Online

Why should you choose Nisa For Apache Scala Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Apache Scala Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

  • We receive your inquiry for Online Job
  • We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
  • If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
  • We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Apache Scala Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.

COURSE CONTENT :

Module 1: Introduction to Scala
  • What is Scala?

    • Overview of Scala and its design philosophy
    • Key differences between Scala and Java
    • Why Scala is popular for big data and functional programming
  • Setting Up Scala Development Environment

    • Installing Scala and setting up an IDE (IntelliJ, VS Code, or similar)
    • Introduction to sbt (Scala Build Tool)
    • Running Scala REPL (Read-Eval-Print-Loop)
  • Basic Syntax

    • Writing your first Scala program
    • Variables, data types, and operators
    • Expressions and statements

Module 2: Core Scala Concepts
  • Variables and Data Types

    • Immutable (val) vs mutable (var) variables
    • Basic data types: Int, String, Boolean, Double
    • Null values and Option type
  • Control Structures

    • If-else, while, and for loops
    • Pattern matching
    • Match expressions (switch alternatives in Scala)
  • Functions

    • Defining functions and methods
    • Function parameters and return types
    • Anonymous functions (lambdas) and closures

Module 3: Object-Oriented Programming (OOP) in Scala
  • Classes and Objects

    • Defining classes and creating instances
    • Constructors and default parameters
    • Companion objects and factory methods
  • Inheritance and Traits

    • Extending classes and overriding methods
    • Abstract classes and interfaces (traits in Scala)
    • Mixins and multiple inheritance through traits
  • Collections in Scala

    • Immutable collections (List, Set, Map)
    • Operations on collections: map, filter, reduce
    • Traversing collections with for-comprehensions

Module 4: Functional Programming in Scala
  • Immutability and Pure Functions

    • Immutable data structures
    • Benefits of immutability in functional programming
  • Higher-Order Functions

    • Functions as first-class citizens
    • Map, flatMap, and filter
    • Currying and partial functions
  • Monads and For-Comprehensions

    • Introduction to Monads
    • For-comprehensions for working with Option, Future, and more
  • Working with the Option Type

    • Option as a safer alternative to null
    • Using Option with pattern matching

Module 5: Concurrency and Parallelism in Scala
  • Introduction to Concurrency

    • Understanding concurrency and parallelism in Scala
    • Using Future and Promise for asynchronous programming
    • Execution contexts and thread pools
  • Akka for Concurrent Programming

    • Introduction to Akka actor model
    • Building and managing actors
    • Fault-tolerant and distributed systems with Akka
  • Parallel Collections

    • Using Scala’s parallel collections for parallel processing
    • Performance considerations and optimizations

Module 6: Working with Apache Spark using Scala
  • Introduction to Apache Spark

    • Overview of Apache Spark and its components
    • Setting up Apache Spark with Scala
    • Spark’s Resilient Distributed Datasets (RDDs) and DataFrames
  • RDDs and DataFrames in Scala

    • Transformations and actions in RDDs
    • Using DataFrames for structured data processing
    • Spark SQL for querying structured data
  • Spark Streaming and Machine Learning with Scala

    • Introduction to Spark Streaming for real-time data processing
    • Basics of MLlib (Spark’s machine learning library)
    • Building machine learning models with Scala and Spark
  • Optimizing Spark Jobs

    • Tuning Spark performance
    • Caching and persisting data
    • Partitioning strategies for large datasets

Module 7: Advanced Scala Concepts
  • Type Classes and Implicits

    • Introduction to type classes
    • Using implicits to extend libraries
    • Implementing type class patterns in Scala
  • Macros and Annotations

    • Using macros for compile-time code generation
    • Creating custom annotations in Scala
  • Building Scalable Systems

    • Designing and implementing scalable and fault-tolerant systems in Scala
    • Best practices for high-performance Scala code
 
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