Stream API
Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filtering, mapping, sorting, and collecting results. Discover advanced techniques for performance optimization, error handling, and parallel processing to apply Stream API effectively in real-world scenarios.Show more
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Recommended experience43 chapters
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Learning outcomes
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Codefinity advantages
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Outcomes
Learning outcomes
Modules
Testimonials
Recommendations
Codefinity advantages
FAQs
What you will learn
- Efficiently process and transform data using Stream API operations.
- Apply functional programming principles for cleaner and more concise code.
- Optimize performance with parallel streams and advanced techniques.
- Handle errors properly when working with streams.
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There are 6 modules in this course
Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filtering, mapping, sorting, and collecting results. Discover advanced techniques for performance optimization, error handling, and parallel processing to apply Stream API effectively in real-world scenarios.Discover how Stream API revolutionizes data processing in Java with its expressive and functional approach. Explore its architecture, principles, and key functional features to write concise and efficient code.
- ArchitecturePreview
- PrinciplesPreview
- What Is a Functional Interface?Preview
- Predicate: Data FilteringPreview
- Challenge: Filtering Corporate Email AddressesPreview
- Function: Data TransformationPreview
- Challenge: Income Tax CalculationPreview
- Comparable: Natural Ordering of DataPreview
- Comparator: Custom Comparison of DataPreview
- Challenge: Sorting EmployeesPreview
- Consumer: Processing DataPreview
- Supplier: Data GenerationPreview
- Bi-versions of Functional InterfacesPreview
- Challenge: Filtering Users by Two CriteriaPreview
- BinaryOperator: Combining Two ValuesPreview
Learn about various intermediate operations available in the Stream API that allow you to manipulate and process data in a functional style. These operations, such as filtering, transforming, and sorting, enable you to efficiently work with collections and perform tasks like removing duplicates, limiting results, or handling nested structures. Each operation can be combined to create powerful data pipelines, making your code more concise and readable.
- Transforming Elements with the map() MethodPreview
- Filtering Elements with the filter() MethodPreview
- Challenge: Factory Product FilteringPreview
- Working with Nested Structures with the flatMap() MethodPreview
- Arranging Items in Order with the sorted() MethodPreview
- Challenge: Selecting the Best Cars on the Production LinePreview
- Eliminating Duplicates with the distinct() MethodPreview
- Challenge: Factory Quality ControlPreview
- Restricting and Skipping Elements with the limit() and skip() MethodsPreview
- Challenge: Finding the Top 3 Hardest-Working EmployeesPreview
- Intermediate Processing with the peek() MethodPreview
Learn about various terminal operations available in the Stream API that allow you to process and retrieve data efficiently. These operations, such as collecting, reducing, and counting, enable you to aggregate results, find specific elements, or perform side effects like printing or writing to a file. Understanding these operations helps you efficiently handle data processing tasks while keeping your code concise and expressive.
- collect() Gathering Stream Elements into a CollectionPreview
- Challenge: Build a Custom Collector for Category CountingPreview
- Collectors Utility Class for Stream APIPreview
- Processing Elements with the forEach() MethodPreview
- Handling Values with the Optional ClassPreview
- Aggregating Elements with the reduce() MethodPreview
- Challenge: Calculating Total Cost with Discounts and TaxPreview
- Calculating Stream Statistics with count(), max(), and min()Preview
- Retrieving Stream Summary Metrics with summaryStatistics() MethodPreview
- Retrieving Elements from a Stream with findFirst() and findAny()Preview
- Challenge: Selecting Random Products Within a CategoryPreview
- Checking Stream Elements Against a Condition with allMatch()Preview
- Challenge: Ensuring Fast Delivery for Expensive ProductsPreview
Discover how to apply Stream API in real-world scenarios, improving code readability and efficiency. Learn how to refactor existing code, analyze performance trade-offs, and handle exceptions properly. Will help you write cleaner and more maintainable Java code using Stream API.
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