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Module 1: Data Streaming with Spark- Big data

• Apache-Spark Historical perspective and development?.
• Object-Oriented Programming.
• Basic Concept of Apache-Spark.
• Apache-Spark Keywords, Apache-Spark Identifiers
• Data Types in Apache-Spark, Variables in Scala
• Operators in Apache-Spark, Operators Precedence in Scala
• Scope of Variables In Apache-Spark
• Comments In Apache-Spark, Command Line Argument in Apache-Spark
• Ranges, Literals, Type Inference
• Null, null, Nil, Nothing, None, and Unit

Module 2:Control Statements

• Decision Making.
• Loops (while, do..while, for, nested loops)
• For Loop in Scala
• Break statement in Scala
• yield Keyword

Module 3: Methods

• Currying Functions in Spark with Examples.
• fields, Methods (functions)
• Access Modifiers in Scala
• Partial Functions in Apache-Spark
• Lambda Expression in Apache-Spark

Module 4: OOAD and Classes

• fields, Methods (functions)
• Access Modifiers in Scala
• Constructors
• Case Class and Case Object
• Polymorphism
• Generic Classes in Scala
• Final, Abstract classes

Module 5: Strings

• String Interpolation.
• StringContext
• Regular Expressions in Scala
• StringBuilder in Scala
• String concatenation in Scala
• Pattern Matching

Module 6: Inheritance

• Superclasses, References and Subclass Objects.
• Multilevel Hierarchy
• Method Overriding and Overloading
• Composition vs inheritance
• Multiple Inheritance
• Traits
• Seales Trait

Module 7: Scala Options & Exception Handling

• How use Try and Catch.
• Handle Errors Gracefully
• Throw Statement and Throwables
• Exceptions and Exception handlings,Exception Subclasses
• Multi-Catch and Final Rethrow

Module 8: Multi-Threading -Concurrencies

• Multithreading basics.
• Thread Class Methods
• Monads in Scala
• The Factory Pattern in Scala
• Recursive Streams and collection in Scala