Data streaming is the process of handling real-time data continuously as it arrives, enabling businesses to make decisions based on up-to-the-minute insights.
Amazon Kinesis is a powerful service that enables you to build scalable and reliable real-time data streaming applications, making it a crucial technology for modern data-driven businesses.
Learning Kinesis can empower you to build robust streaming pipelines, process data in real-time, and use this data to gain valuable insights and make informed decisions.
Finding the right AWS Kinesis course can feel overwhelming with so many options available on Udemy.
You want a course that is comprehensive, engaging, and taught by experts, providing you with the practical skills you need to work with Kinesis effectively.
Based on our analysis, Ultimate Guide to Data Streaming with AWS Kinesis stands out as the best course overall on Udemy.
This comprehensive program covers everything from the fundamentals of Kinesis Data Streams to advanced topics like Kinesis Data Analytics and Kinesis Data Firehose, providing you with a deep understanding of Kinesis and how to use it to build real-world applications.
This is just one of the many excellent AWS Kinesis courses available on Udemy.
Keep reading for a breakdown of the best courses for different needs and learning styles, and find the perfect fit for your learning journey.
Ultimate Guide to Data Streaming with AWS Kinesis
This course provides a comprehensive exploration of AWS Kinesis, equipping you with the knowledge and skills to build scalable and reliable real-time data streaming applications.
You’ll begin by diving deep into the fundamentals of Kinesis Data Streams, understanding how data is stored and retrieved using shards and records.
The course then guides you through practical hands-on exercises using AWS SDKs in both Java and Python.
You’ll learn to produce and consume records with guaranteed ordering, ensuring data integrity and reliability.
Moving beyond the basics, you’ll delve into powerful tools like the Kinesis Producer Library and Kinesis Client Library, enabling you to build efficient and scalable data pipelines.
You’ll gain hands-on experience with AWS Lambda, empowering you to implement serverless data processing and explore how to design fan-out consumers for parallel processing, maximizing efficiency.
The course then explores the world of real-time analytics with Kinesis Data Analytics, introducing you to concepts like tumbling, sliding, and staggered windows.
You’ll learn how to analyze data streams in real-time, enabling you to make informed decisions based on up-to-the-minute insights.
Additionally, you’ll be introduced to Apache Flink and learn how to use Zepplin notebooks for interactive development, further enhancing your data analysis capabilities.
Finally, you’ll learn about Kinesis Data Firehose, a powerful service that simplifies the process of loading streaming data into data lakes like S3.
The course provides detailed instructions on configuring Firehose delivery streams, performing data transformations using AWS Lambda, and transferring data to S3 for further analysis.
You’ll be equipped to tackle real-world challenges, design robust streaming pipelines, and utilize real-time data for informed decision-making.
Code Along - AWS Lambda, Kinesis and Serverless Framework
This course provides a solid foundation in serverless architecture using Amazon Web Services (AWS).
You’ll dive into a real-world project, building it from the ground up using Lambda functions, Kinesis streams, and the Serverless Framework.
You’ll learn the practical aspects of setting up your development environment and creating Lambda functions to process and push data to Kinesis, a powerful streaming service.
The course offers detailed explanations of how Kinesis captures and processes real-time data, empowering you to build a Kinesis consumer for analysis and even integration with Algolia, a search-as-a-service platform, for advanced searching capabilities.
Beyond the technical aspects, you’ll learn how to structure your data effectively, understand the advantages of a serverless approach over traditional methods, and finally, create a fully functional serverless application.
This course is particularly beneficial for developers seeking a hands-on approach to learning serverless architecture with real-world applications.
While the focus is on AWS, the core concepts and techniques are transferable to other cloud platforms.