Using Java Streams from Pluralsight

The Stream API is an in-memory implementation of the map/filter/reduce pattern, introduced in Java 8. In this course, you will learn the basics of this API, how you can use it to improve your code, and how this implementation works internally.

The Stream API is now one of the two main API used to processed data in Java. It implements a very popular pattern: map/filter/reduce. In this course, Using Java Streams, you will learn three things. First, you will see how this map/filter/reduce pattern works and how you can recognize its use in existing code. Then, you will explore how it has been implemented by the Stream API, and what the details are of this implementation to fully understand how you can leverage this API to write clean and efficient code. Finally, you will discover how to implement common use cases that will help you use this API very quickly in your applications. By the end of this course, you will have explored the theory to fully understand both the algorithm and the implementation.

What's inside

Syllabus

Course Overview

Processing Data Using the Map Filter Reduce Algorithm

Using the Stream API to Map, Filter, and Reduce Data

Building a Stream from Data in Memory

Converting a For Loop to a Stream

Reducing Data to Compute Statistics

Collecting Data from Streams to Create Lists and Sets

Creating and Analyzing Histograms from Streams

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops foundational knowledge and skills in Java and industry-standard in-memory data processing techniques

Taught by Jose Paumard, a seasoned Java expert

Provides hands-on labs and interactive materials to reinforce learning

Examines the map/filter/reduce pattern, which is used extensively in data processing

Explores how the Stream API efficiently implements the map/filter/reduce pattern

Covers common use cases in data processing to enhance practical knowledge

Career center

Learners who complete Using Java Streams will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data analysts use their knowledge of statistics and programming to analyze data and draw conclusions from it. They are responsible for collecting, cleaning, and interpreting data, and then presenting their findings to stakeholders. The Stream API is a powerful tool that can help data analysts to automate many of their tasks, such as filtering and manipulating data, and computing statistics. By taking this course, data analysts can learn how to use the Stream API to improve their productivity and efficiency.

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Software Engineer

Software engineers design, develop, and maintain software systems. They are responsible for writing code, testing it, and deploying it to production. The Stream API is a valuable tool for software engineers because it can help them to write more efficient and maintainable code. By taking this course, software engineers can learn how to use the Stream API to improve the quality of their code.

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Data Scientist

Data scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. They are responsible for developing and deploying machine learning models, and then interpreting the results. The Stream API is a powerful tool that can help data scientists to automate many of their tasks, such as cleaning and preparing data, and training machine learning models. By taking this course, data scientists can learn how to use the Stream API to improve their productivity and efficiency.

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Database Administrator

Database administrators are responsible for managing and maintaining databases. They are responsible for ensuring that databases are available, reliable, and secure. The Stream API is a valuable tool for database administrators because it can help them to automate many of their tasks, such as backing up and restoring databases, and monitoring database performance. By taking this course, database administrators can learn how to use the Stream API to improve their productivity and efficiency.

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Business Analyst

Business analysts use their knowledge of business and technology to solve business problems. They are responsible for gathering requirements, analyzing data, and developing solutions. The Stream API is a valuable tool for business analysts because it can help them to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, business analysts can learn how to use the Stream API to improve their productivity and efficiency.

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Statistician

Statisticians use their knowledge of statistics to analyze data and draw conclusions from it. They are responsible for designing and conducting statistical studies, and then interpreting the results. The Stream API is a powerful tool that can help statisticians to automate many of their tasks, such as computing statistics and generating visualizations. By taking this course, statisticians can learn how to use the Stream API to improve their productivity and efficiency.

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Quantitative Analyst

Quantitative analysts use their knowledge of mathematics and statistics to analyze financial data and make investment decisions. They are responsible for developing and deploying financial models, and then interpreting the results. The Stream API is a powerful tool that can help quantitative analysts to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, quantitative analysts can learn how to use the Stream API to improve their productivity and efficiency.

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Machine Learning Engineer

Machine learning engineers design, develop, and deploy machine learning models. They are responsible for gathering data, cleaning it, and training models. The Stream API is a valuable tool for machine learning engineers because it can help them to automate many of their tasks, such as cleaning and preparing data, and training machine learning models. By taking this course, machine learning engineers can learn how to use the Stream API to improve their productivity and efficiency.

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Data Engineer

Data engineers design, develop, and maintain data pipelines. They are responsible for ensuring that data is available, reliable, and secure. The Stream API is a valuable tool for data engineers because it can help them to automate many of their tasks, such as building and maintaining data pipelines, and monitoring data quality. By taking this course, data engineers can learn how to use the Stream API to improve their productivity and efficiency.

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Software Developer

Software developers design, develop, and maintain software applications. They are responsible for writing code, testing it, and deploying it to production. The Stream API is a valuable tool for software developers because it can help them to write more efficient and maintainable code. By taking this course, software developers can learn how to use the Stream API to improve the quality of their code.

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Operations Research Analyst

Operations research analysts use their knowledge of mathematics and statistics to solve business problems. They are responsible for developing and deploying mathematical models, and then interpreting the results. The Stream API is a powerful tool that can help operations research analysts to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, operations research analysts can learn how to use the Stream API to improve their productivity and efficiency.

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Financial Analyst

Financial analysts use their knowledge of finance and economics to analyze financial data and make investment decisions. They are responsible for developing and deploying financial models, and then interpreting the results. The Stream API is a powerful tool that can help financial analysts to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, financial analysts can learn how to use the Stream API to improve their productivity and efficiency.

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Actuary

Actuaries use their knowledge of mathematics and statistics to assess and manage risk. They are responsible for developing and deploying actuarial models, and then interpreting the results. The Stream API is a powerful tool that can help actuaries to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, actuaries can learn how to use the Stream API to improve their productivity and efficiency.

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Using Java Streams

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