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Projection, Filtering, and Aggregation of Data Streams

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Overview

Focusing on data manipulation operations, this course teaches how to perform data projection, filtering, and aggregation using Kotlin without needing advanced external libraries. You will learn how to use both procedural and functional programming techniques when applying filtering and aggregation on data streams.

Syllabus

Unit 1: Understanding and Managing Data Streams with Kotlin

Retrieve Last Element from DataStream
Fixing the getLast Method in DataStream Class
First and Last Data Points in a Stream
Slicing and Converting Data Streams to String
Find the Middle Element of a Sliced Data Stream

Unit 2: Filtering Data Streams with Kotlin Techniques

Filter Numbers Greater Than 20 in Kotlin
Filtering Strings by Length in Kotlin
Filter Even Numbers Using List Comprehension
Filtering Positive Even Numbers with Filter Function
Filter Values Below Threshold

Unit 3: Understanding Data Projection Techniques with Kotlin

Projecting Fruit Colors Instead of Names
Enhance Car Horsepower Using Project Method
Filter and Enhance Product Prices in Kotlin
Data Projection with Temperature Conversion in Kotlin

Unit 4: Introduction to Data Aggregation Methods with Kotlin

Calculate Minimum Exam Score in Kotlin
Fixing Bug in Standard Deviation Calculation
Calculate Average Temperature
Finding the Most Frequent Temperature Using Fold Function in Kotlin
Counting Adults Using Reduce Function

Unit 5: Practical Data Manipulation Techniques with Kotlin

Calculate Average Salary in Sales Department
Filter and Aggregate Sales Data
DataStream Employee Analysis in Kotlin
Data Manipulation with DataStream in Kotlin

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