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The new support for Java programming in Amazon Kinesis Data Analytics helps you solve challenges, and this course shows you how. You’ll also learn how the SDKs are supported through Apache Flink libraries and see how it works in real-world use cases.

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The new support for Java programming in Amazon Kinesis Data Analytics helps you solve challenges, and this course shows you how. You’ll also learn how the SDKs are supported through Apache Flink libraries and see how it works in real-world use cases.

The new support for Java programming in Amazon Kinesis Data Analytics helps you solve challenges, and this course will show you how. You’ll also learn how the SDKs are supported through Apache Flink libraries and see how it works in real-world use cases.

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What's inside

Syllabus

Introduction to Amazon Kinesis Data Analytics for Java Applications

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge relevant to industry use cases in Java programming for Amazon Kinesis Data Analytics
Taught by AWS experts, recognized for their work in Amazon Kinesis Data Analytics
Covers Apache Flink libraries, expanding the programming options for learners
Prerequisite knowledge is required to fully benefit from this course

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Amazon Kinesis Data Analytics for Java Applications with these activities:
Review Java programming concepts
Reviewing Java programming fundamentals will help you refresh your knowledge and prepare for the course.
Browse courses on Java Programming
Show steps
  • Review basic Java syntax and data types.
  • Practice writing simple Java programs.
  • Review object-oriented programming concepts in Java.
Find a mentor who can help you learn Amazon Kinesis Data Analytics
Finding a mentor can help you learn about Amazon Kinesis Data Analytics from an experienced professional.
Show steps
  • Identify your learning goals and what you hope to gain from a mentor.
  • Reach out to potential mentors and ask for their guidance.
  • Establish a regular meeting schedule and discuss your progress.
Complete online tutorials on Amazon Kinesis Data Analytics
Completing guided tutorials will help you understand the basics of Amazon Kinesis Data Analytics and how it can be used for data processing.
Show steps
  • Find online tutorials on Amazon Kinesis Data Analytics.
  • Follow the tutorials step-by-step.
  • Complete the exercises and quizzes provided in the tutorials.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or online forum for Amazon Kinesis Data Analytics
Joining a study group or online forum will help you connect with other learners and discuss course material.
Show steps
  • Find a study group or online forum for Amazon Kinesis Data Analytics.
  • Participate in discussions and ask questions.
  • Share your knowledge and help other learners.
Solve coding exercises on Amazon Kinesis Data Analytics
Solving coding exercises will help you apply your knowledge of Amazon Kinesis Data Analytics and improve your problem-solving skills.
Show steps
  • Find coding exercises on Amazon Kinesis Data Analytics.
  • Solve the exercises using the Java programming language.
  • Review your solutions and identify areas for improvement.
Attend a workshop on Amazon Kinesis Data Analytics
Attending a workshop will help you learn about Amazon Kinesis Data Analytics in a structured and interactive environment.
Show steps
  • Find a workshop on Amazon Kinesis Data Analytics.
  • Register for the workshop.
  • Attend the workshop and participate in activities.
  • Review the materials and apply what you learned.
Build a simple data processing application using Amazon Kinesis Data Analytics
Building a data processing application will help you apply your knowledge of Amazon Kinesis Data Analytics to a real-world scenario.
Show steps
  • Define the requirements for your application.
  • Design the architecture of your application.
  • Implement your application using Amazon Kinesis Data Analytics.
  • Test and deploy your application.
Mentor junior developers on Amazon Kinesis Data Analytics
Mentoring others will help you reinforce your knowledge of Amazon Kinesis Data Analytics and develop your leadership skills.
Show steps
  • Find a junior developer who is interested in learning about Amazon Kinesis Data Analytics.
  • Set up regular meetings to discuss Amazon Kinesis Data Analytics and answer their questions.
  • Provide feedback on their work and help them develop their skills.

Career center

Learners who complete Introduction to Amazon Kinesis Data Analytics for Java Applications will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help you develop the skills needed to be a successful Data Analyst, such as how to use Amazon Kinesis Data Analytics for Java Applications to process and analyze large datasets.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. This course can help you develop the skills needed to be a successful Data Engineer, such as how to use Amazon Kinesis Data Analytics for Java Applications to build real-time data pipelines.
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course can help you develop the skills needed to be a successful Data Scientist, such as how to use Amazon Kinesis Data Analytics for Java Applications to build machine learning models.
Cloud Architect
A Cloud Architect is responsible for designing and managing cloud computing infrastructure. This course can help you develop the skills needed to be a successful Cloud Architect, such as how to use Amazon Kinesis Data Analytics for Java Applications to build scalable and reliable data processing solutions.
Big Data Engineer
A Big Data Engineer is responsible for designing and managing big data systems. This course can help you develop the skills needed to be a successful Big Data Engineer, such as how to use Amazon Kinesis Data Analytics for Java Applications to process and analyze large datasets.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course can help you develop the skills needed to be a successful Software Engineer, such as how to use Amazon Kinesis Data Analytics for Java Applications to build real-time data processing applications.
Data Architect
A Data Architect is responsible for designing and managing data architectures. This course can help you develop the skills needed to be a successful Data Architect, such as how to use Amazon Kinesis Data Analytics for Java Applications to build scalable and reliable data processing solutions.
Data Privacy Engineer
A Data Privacy Engineer is responsible for ensuring that data is collected, processed, and stored in accordance with data privacy regulations. This course can help you develop the skills needed to be a successful Data Privacy Engineer, such as how to use Amazon Kinesis Data Analytics for Java Applications to build privacy-preserving data processing solutions.
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models. This course can help you develop the skills needed to be a successful Machine Learning Engineer, such as how to use Amazon Kinesis Data Analytics for Java Applications to build real-time machine learning applications.
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for providing businesses with insights into their data. This course can help you develop the skills needed to be a successful Business Intelligence Analyst, such as how to use Amazon Kinesis Data Analytics for Java Applications to build data-driven insights.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This course can help you develop the skills needed to be a successful DevOps Engineer, such as how to use Amazon Kinesis Data Analytics for Java Applications to build and manage continuous delivery pipelines.
Data Analytics Engineer
A Data Analytics Engineer is responsible for designing and developing data analytics solutions. This course can help you develop the skills needed to be a successful Data Analytics Engineer, such as how to use Amazon Kinesis Data Analytics for Java Applications to build real-time data analytics dashboards.
DBA
A DBA is responsible for managing and maintaining databases. This course can help you develop the skills needed to be a successful DBA, such as how to use Amazon Kinesis Data Analytics for Java Applications to build scalable and reliable data processing solutions.
Systems Analyst
A Systems Analyst is responsible for analyzing and designing business systems. This course can help you develop the skills needed to be a successful Systems Analyst, such as how to use Amazon Kinesis Data Analytics for Java Applications to build data-driven business solutions.
Database Developer
A Database Developer is responsible for designing and developing databases. This course can help you develop the skills needed to be a successful Database Developer, such as how to use Amazon Kinesis Data Analytics for Java Applications to build scalable and reliable data processing solutions.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Amazon Kinesis Data Analytics for Java Applications.
Provides a comprehensive overview of Java concurrency. It valuable reference for developers who want to learn more about concurrency and how to use it effectively in their applications.
Provides a comprehensive overview of high-performance Java persistence. It valuable resource for developers who want to learn more about persistence and how to use it effectively in their applications.
Provides a comprehensive overview of Hadoop, including its architecture, components, and programming models. It useful reference for those who want to learn more about the underlying technologies used by Amazon Kinesis Data Analytics.
Provides a comprehensive overview of Java performance tuning. It valuable resource for developers who want to learn more about performance tuning and how to use it to improve the performance of their applications.
Provides a comprehensive overview of Java design patterns. It valuable resource for developers who want to learn more about design patterns and how to use them effectively in their applications.
Provides a comprehensive overview of effective Java programming. It valuable resource for developers who want to learn more about Java and how to use it effectively in their applications.
Provides a comprehensive overview of Java programming for beginners. It valuable resource for beginners who want to learn more about Java and how to use it effectively in their applications.
Provides a comprehensive overview of Java programming. It useful reference for those who want to learn more about the Java programming language.
Provides a comprehensive overview of Java programming. It valuable resource for beginners who want to learn more about Java and how to use it effectively in their applications.
Provides a deep dive into the design of data-intensive applications. It covers topics such as data modeling, data processing, and data storage.
Provides a comprehensive overview of Java programming for dummies. It valuable resource for beginners who want to learn more about Java and how to use it effectively in their applications.
Provides a comprehensive overview of Java programming for beginners. It valuable resource for beginners who want to learn more about Java and how to use it effectively in their applications.
Provides a comprehensive overview of the Java programming language. It valuable resource for developers who want to learn more about Java and how to use it effectively in their applications.
Provides a comprehensive overview of the Java programming language. It valuable resource for developers who want to learn more about Java and how to use it effectively in their applications.

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