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Ivan Mushketyk
AWS Kinesis is a powerful, real-time, elastic, reliable service for stream processing. This course will teach you how to build modern stream processing applications using AWS Kinesis, stream processing services, and Big Data frameworks.
Read more
AWS Kinesis is a powerful, real-time, elastic, reliable service for stream processing. This course will teach you how to build modern stream processing applications using AWS Kinesis, stream processing services, and Big Data frameworks.
Read more
AWS Kinesis is a powerful, real-time, elastic, reliable service for stream processing. This course will teach you how to build modern stream processing applications using AWS Kinesis, stream processing services, and Big Data frameworks.
The landscape of the Big Data field is changing. Previously, you could go away with processing incoming data for hours or even days. Now you need to do it in minutes or even seconds. These challenges require new solutions, new architectures, and new tools. AWS Kinesis is a service for stream processing that allows building applications that were impossible to create before. In the course, Developing Stream Processing Applications with AWS Kinesis, you'll learn the ins and outs of AWS Kinesis. First, you'll discover how it works, how to scale it up and down, and how to write applications using it. Next, you'll learn how to use a variety of tools to work with it, such as Kinesis Client Library, Kinesis Connector Library, Apache Flink, and AWS Lambda. Finally, you'll explore how to use more high-level Kinesis products such as Kinesis Firehose and how to write streaming applications using SQL queries with Kinesis Analytics. When you are finished with this course, you'll have an in-depth knowledge of AWS Kinesis that will help you to build your streaming applications.
AWS Kinesis is used to collect large streams of data in real time from hundreds of thousands of sources.
Using AWS Kinesis, this course will teach you how to build modern stream processing applications, stream processing services, and Big Data frameworks.
This course is for those with an intermediate knowledge of stream processing and those wanting to learn the ins and outs of AWS Kinesis.
It is encouraged that you have an understanding of AWS Kinesis and other services.
Register for this course and see more details by visiting:
OpenCourser.com/course/dpc4re/developing
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What's inside
Syllabus
Course Overview
Kinesis Fundamentals
Reading and Writing Data to Kinesis
Developing Applications Using Kinesis Client Library
Read more
Syllabus
Course Overview
Kinesis Fundamentals
Reading and Writing Data to Kinesis
Developing Applications Using Kinesis Client Library
Read more
Implementing Advanced Kinesis Consumers
Funneling Data with Kinesis Firehose
Implementing Stream Analysis Applications Using Streaming SQL
Kinesis in Production
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops expertise in AWS Kinesis, a service for stream processing
Taught by Ivan Mushketyk, a recognized expert in AWS Kinesis
Examines Kinesis, a highly relevant AWS service for stream processing
Suitable for learners who seek a thorough grounding in stream processing using AWS Kinesis
Intermediate knowledge of stream processing is assumed for this course
Assumes basic understanding of AWS Kinesis and related services
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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 Developing Stream Processing Applications with AWS Kinesis with these
activities:
Review Core Concepts in Stream Processing
Show steps
Reinforce your understanding of fundamental stream processing principles to ensure a solid foundation for the course.
Browse courses on
Stream Processing
Show steps
-
Revisit the concept of real-time data processing.
-
Review techniques for handling high-volume, high-velocity data streams.
Learn About Fundamental AWS Services
Show steps
Familiarize yourself with AWS services and understand the core concepts of cloud computing.
Browse courses on
AWS Services
Show steps
-
Review AWS documentation and tutorials on fundamental services like EC2, S3, and IAM.
-
Create an AWS account and explore the AWS Management Console.
-
Set up basic resources like an EC2 instance and an S3 bucket.
Join a Kinesis Community Study Group
Show steps
Connect with fellow learners and engage in discussions to enhance your understanding and get support.
Show steps
-
Find or create a study group on platforms like LinkedIn, online forums, or meetups.
-
Set up regular meetings to discuss course topics, share resources, and work on projects together.
-
Collaborate on assignments and provide feedback to each other.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Explore Kinesis Firehose with Hands-on Examples
Show steps
Gain practical experience with Kinesis Firehose by following guided tutorials and building projects.
Browse courses on
Data Ingestion
Show steps
-
Find tutorials or documentation on setting up and using Kinesis Firehose.
-
Create a Kinesis Firehose delivery stream and configure it to integrate with S3, Redshift, or other services.
-
Run a data pipeline through the Kinesis Firehose delivery stream and verify the results.
Follow AWS Kinesis Tutorials
Show steps
Enhance your understanding by working through guided tutorials provided by AWS on Kinesis.
Show steps
-
Identify a tutorial relevant to your learning needs.
-
Follow the tutorial step-by-step, implementing the concepts in your own AWS account.
-
Review the documentation and additional resources provided in the tutorial.
Practice Writing Kinesis Client Library Applications
Show steps
Gain proficiency in building stream processing applications using the Kinesis Client Library.
Show steps
-
Set up your development environment with the Kinesis Client Library.
-
Write a simple consumer application to read data from Kinesis.
-
Develop a producer application to write data to Kinesis.
Build a Simple Data Pipeline with Kinesis
Show steps
Apply your understanding by creating a basic data pipeline that ingests, processes, and stores data using Kinesis.
Browse courses on
Data Pipelines
Show steps
-
Design a simple data pipeline that includes a Kinesis stream, a Lambda function, and an S3 bucket.
-
Implement the data pipeline using the AWS SDK or Kinesis Client Library.
-
Test the data pipeline by generating and sending data to the Kinesis stream.
Complete Coding Exercises
Show steps
Practice writing code to process streaming data, reinforcing your understanding of Kinesis.
Browse courses on
Kinesis
Show steps
-
Choose a coding exercise from the course materials.
-
Implement the solution in your preferred coding language.
-
Test your code and debug any errors.
Explore AWS Kinesis Firehose Tutorials
Show steps
Expand your knowledge of Kinesis Firehose through guided tutorials, enhancing your ability to stream data to data stores.
Show steps
-
Complete the tutorial on configuring Kinesis Firehose for data delivery.
-
Follow the steps to set up a Kinesis Firehose stream to S3.
Challenge Yourself with Kinesis Client Library Exercises
Show steps
Enhance your coding skills and deepen your understanding of the Kinesis Client Library through practical exercises.
Browse courses on
Problem-Solving
Show steps
-
Find online coding exercises or tutorials on using the Kinesis Client Library.
-
Solve coding challenges that involve reading, writing, and processing data using the Kinesis Client Library.
-
Compare your solutions with others or seek guidance from the Kinesis community.
Create a Kinesis Analytics Pipeline
Show steps
Develop a deep understanding of Kinesis Analytics by building a real-world pipeline using streaming SQL.
Show steps
-
Design a data transformation pipeline using SQL queries.
-
Create a Kinesis Analytics application and configure the pipeline.
-
Test and monitor your pipeline to ensure data is processed as expected.
Create a Streaming Data Analytics Application
Show steps
Demonstrate your mastery by designing and building a streaming data analytics application using Kinesis Analytics.
Browse courses on
Data Analytics
Show steps
-
Identify a real-world scenario where streaming data analytics can provide value.
-
Design an application architecture that includes Kinesis Analytics and other services as needed.
-
Implement the application using SQL queries and the Kinesis Analytics service.
Review Core Concepts in Stream Processing
Show steps
Reinforce your understanding of fundamental stream processing principles to ensure a solid foundation for the course.
Browse courses on
Stream Processing
Show steps
Show steps
Show steps
- Revisit the concept of real-time data processing.
- Review techniques for handling high-volume, high-velocity data streams.
Learn About Fundamental AWS Services
Show steps
Familiarize yourself with AWS services and understand the core concepts of cloud computing.
Browse courses on
AWS Services
Show steps
Show steps
Show steps
- Review AWS documentation and tutorials on fundamental services like EC2, S3, and IAM.
- Create an AWS account and explore the AWS Management Console.
- Set up basic resources like an EC2 instance and an S3 bucket.
Join a Kinesis Community Study Group
Show steps
Connect with fellow learners and engage in discussions to enhance your understanding and get support.
Show steps
Show steps
Show steps
- Find or create a study group on platforms like LinkedIn, online forums, or meetups.
- Set up regular meetings to discuss course topics, share resources, and work on projects together.
- Collaborate on assignments and provide feedback to each other.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Explore Kinesis Firehose with Hands-on Examples
Show steps
Gain practical experience with Kinesis Firehose by following guided tutorials and building projects.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Find tutorials or documentation on setting up and using Kinesis Firehose.
- Create a Kinesis Firehose delivery stream and configure it to integrate with S3, Redshift, or other services.
- Run a data pipeline through the Kinesis Firehose delivery stream and verify the results.
Follow AWS Kinesis Tutorials
Show steps
Enhance your understanding by working through guided tutorials provided by AWS on Kinesis.
Show steps
Show steps
Show steps
- Identify a tutorial relevant to your learning needs.
- Follow the tutorial step-by-step, implementing the concepts in your own AWS account.
- Review the documentation and additional resources provided in the tutorial.
Practice Writing Kinesis Client Library Applications
Show steps
Gain proficiency in building stream processing applications using the Kinesis Client Library.
Show steps
Show steps
Show steps
- Set up your development environment with the Kinesis Client Library.
- Write a simple consumer application to read data from Kinesis.
- Develop a producer application to write data to Kinesis.
Build a Simple Data Pipeline with Kinesis
Show steps
Apply your understanding by creating a basic data pipeline that ingests, processes, and stores data using Kinesis.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Design a simple data pipeline that includes a Kinesis stream, a Lambda function, and an S3 bucket.
- Implement the data pipeline using the AWS SDK or Kinesis Client Library.
- Test the data pipeline by generating and sending data to the Kinesis stream.
Complete Coding Exercises
Show steps
Practice writing code to process streaming data, reinforcing your understanding of Kinesis.
Browse courses on
Kinesis
Show steps
Show steps
Show steps
- Choose a coding exercise from the course materials.
- Implement the solution in your preferred coding language.
- Test your code and debug any errors.
Explore AWS Kinesis Firehose Tutorials
Show steps
Expand your knowledge of Kinesis Firehose through guided tutorials, enhancing your ability to stream data to data stores.
Show steps
Show steps
Show steps
- Complete the tutorial on configuring Kinesis Firehose for data delivery.
- Follow the steps to set up a Kinesis Firehose stream to S3.
Challenge Yourself with Kinesis Client Library Exercises
Show steps
Enhance your coding skills and deepen your understanding of the Kinesis Client Library through practical exercises.
Browse courses on
Problem-Solving
Show steps
Show steps
Show steps
- Find online coding exercises or tutorials on using the Kinesis Client Library.
- Solve coding challenges that involve reading, writing, and processing data using the Kinesis Client Library.
- Compare your solutions with others or seek guidance from the Kinesis community.
Create a Kinesis Analytics Pipeline
Show steps
Develop a deep understanding of Kinesis Analytics by building a real-world pipeline using streaming SQL.
Show steps
Show steps
Show steps
- Design a data transformation pipeline using SQL queries.
- Create a Kinesis Analytics application and configure the pipeline.
- Test and monitor your pipeline to ensure data is processed as expected.
Create a Streaming Data Analytics Application
Show steps
Demonstrate your mastery by designing and building a streaming data analytics application using Kinesis Analytics.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify a real-world scenario where streaming data analytics can provide value.
- Design an application architecture that includes Kinesis Analytics and other services as needed.
- Implement the application using SQL queries and the Kinesis Analytics service.
Career center
Learners who complete Developing Stream Processing Applications with AWS Kinesis will develop knowledge and skills
that may be useful to these careers:
Big Data Architect
Big Data Architect
As a Big Data Architect, you will design, develop, and manage big data systems that process and analyze large datasets. You may work on the design and implementation of data pipelines using AWS Kinesis, and use streaming SQL to analyze streaming data. Having a deep understanding of AWS Kinesis and stream processing technologies will be beneficial in this role.
Cloud Architect
Cloud Architect
As a Cloud Architect, you will design and implement cloud computing solutions. You may be responsible for designing and implementing solutions using AWS Kinesis and other AWS services. A comprehensive understanding of AWS Kinesis and stream processing can be helpful in this role.
Data Engineer
Data Engineer
In this role, you will design, develop, and maintain data pipelines. You may work on the development of data pipelines using AWS Kinesis, and use streaming SQL to analyze streaming data. A deep understanding of AWS Kinesis and stream processing technologies can be beneficial in this role.
Data Analyst
Data Analyst
As a Data Analyst, you will collect, analyze, and interpret data to support decision-making. You may use AWS Kinesis to collect and process streaming data, and use streaming SQL to analyze streaming data. This course can equip you with the skills to succeed in this role.
Data Scientist
Data Scientist
As a Data Scientist, you will use data to solve business problems. You may use AWS Kinesis to collect and process streaming data, and use streaming SQL to analyze streaming data. Having a deep understanding of AWS Kinesis and stream processing technologies can help you in this role.
DevOps Engineer
DevOps Engineer
As a DevOps Engineer, you will be responsible for the development and operation of software systems. You may be responsible for deploying and managing AWS Kinesis applications. Having a deep understanding of AWS Kinesis and stream processing technologies can be helpful in this role.
Enterprise Architect
Enterprise Architect
As an Enterprise Architect, you will be responsible for the design and implementation of enterprise IT architectures. You may be responsible for designing and implementing solutions using AWS Kinesis and other AWS services. This course may help you build a foundation for this role.
Full Stack Engineer
Full Stack Engineer
As a Full Stack Engineer, you will be responsible for the development and maintenance of software systems. You may be responsible for developing and deploying AWS Kinesis applications. This course can equip you with the skills to succeed in this role.
Java Developer
Java Developer
As a Java Developer, you will be responsible for the development of software systems using the Java programming language. You may be responsible for developing AWS Kinesis applications. This course can equip you with the skills to succeed in this role.
Information Security Analyst
Information Security Analyst
As an Information Security Analyst, you will be responsible for the security of IT systems. You may be responsible for securing AWS Kinesis applications. This course may help you build a foundation for this role.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for the development and deployment of machine learning models. You may use AWS Kinesis to collect and process streaming data for machine learning models. This course may help you build a foundation for this role.
Network Engineer
Network Engineer
As a Network Engineer, you will be responsible for the design, implementation, and maintenance of computer networks. You may be responsible for deploying and managing AWS Kinesis applications. This course may help you build a foundation for this role.
Software Architect
Software Architect
As a Software Architect, you will be responsible for the design and implementation of software systems. You may be responsible for designing and implementing solutions using AWS Kinesis and other AWS services. This course may help you build a foundation for this role.
Product Manager
Product Manager
As a Product Manager, you will be responsible for the development and management of software products. You may be responsible for developing and launching products that use AWS Kinesis. This course may help you build a foundation for this role.
Systems Engineer
Systems Engineer
As a Systems Engineer, you will be responsible for the design, implementation, and maintenance of computer systems. You may be responsible for deploying and managing AWS Kinesis applications. This course may help you build a foundation for this role.
For more career information including salaries, visit:
OpenCourser.com/course/dpc4re/developing
Reading list
We've selected five 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
Developing Stream Processing Applications with AWS Kinesis.
Provides a comprehensive overview of Apache Kafka, a popular open-source stream processing platform. It covers the architecture, key concepts, and practical applications of Kafka.
Save
Offers a comprehensive guide to designing and building data-intensive applications. It covers various aspects of data processing, storage, and analysis, providing valuable insights for understanding the challenges and best practices in this domain.
Focuses on optimizing Python code for performance, which is crucial in stream processing. It covers techniques for profiling, benchmarking, and optimizing Python applications, enabling readers to write efficient and scalable stream processing code.
Provides a comprehensive overview of Hadoop, a widely-used distributed computing platform for big data processing. It offers a good understanding of the ecosystem and techniques used in big data analytics, which can be helpful in understanding the context of stream processing.
Provides a solid foundation in distributed computing and data processing using MapReduce. While it is not directly related to stream processing, it offers valuable insights into the underlying principles and techniques used in many stream processing systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dpc4re/developing
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Time
251 hours
Level
Intermediate
Via
Pluralsight
Instructor
Ivan Mushketyk
Language
English
Good to know
Develops expertise in AWS Kinesis, a service for stream processing
Taught by Ivan Mushketyk, a recognized expert in AWS Kinesis
Examines Kinesis, a highly relevant AWS service for stream processing
Suitable for learners who seek a thorough grounding in stream processing using AWS Kinesis
Intermediate knowledge of stream processing is assumed for this course
Assumes basic understanding of AWS Kinesis and related services
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