Projection, Filtering, and Aggregation of Data Streams
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.
Lessons and practices
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Lesson 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
Interested in this course? Learn and practice with Cosmo!
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