Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service from Pluralsight

In this course, you will learn how you can use the Amazon Kinesis Data Analytics service to process streaming data using both the Apache Flink runtime and the SQL runtime. You will integrate your streaming applications with Kinesis Data Streams, Kinesis Data Firehose Delivery streams, and Amazon’s S3.

Kinesis Data Analytics is a service to transform and analyze streaming data in real-time with Apache Flink and SQL using serverless technologies. In this course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, you will learn that Kinesis Data Analytics is part of the Kinesis streaming platform along with Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Video streams.

First, you will get introduced to the Kinesis Data Analytics service for processing and analyzing streams. You will explore the runtimes available that you can use to process your data which includes the Apache Flink runtime, the SQL runtime, and the Apache Beam runtime. You will then deploy a streaming application using the AWS command-line interface. This will involve setting up the correct roles and policies for your application to access the resources that it needs.

Next, you will learn how you can deploy a Kinesis Analytics application using the web console. You will configure your streaming application to read from an enhanced fan-out consumer and write to Kinesis Firehose delivery streams. You will also explore using the Table API in Apache Flink to process streaming data.

Finally, you will deploy and run Kinesis Data Analytics applications using the SQL runtime. The SQL runtime allows you to run interactive SQL queries to processing input streams, you will learn how to create and use in-application streams and understand the purpose of the stream pump.

When you are finished with this course, you will have the skills and knowledge to create and deploy streaming applications on Kinesis Data Analytics and use connects to work with other AWS services as data sources and data sinks.

What's inside

Syllabus

Course Overview

Getting Started with the Kinesis Data Analytics Service

Processing Data Using the Apache Flink Runtime

Processing Data Using the SQL Runtime

Good to know

Know what's good

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Develops skills for using and implementing AWS's Kinesis Data Analytics service

Suitable for intermediate learners with some knowledge of streaming data analytics

Introduces multiple runtimes for processing streaming data, including Apache Flink and SQL

Provides hands-on guidance for deploying streaming applications on AWS

Covers topics highly relevant to the field of streaming data analytics

May require additional understanding of AWS services and concepts outside of the course content

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 Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service with these activities:

Review Java Syntax Basics

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Reviewing Java syntax basics can help reinforce your understanding of the fundamentals and prepare you for more advanced concepts covered in this course.

Browse courses on Java Syntax

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Go over core Java concepts such as data types, variables, operators, and control flow.
Practice writing simple Java programs to test your understanding.

Read 'Java: The Complete Reference'

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This book provides a comprehensive overview of Java, covering essential concepts and best practices that will enhance your understanding of the language.

View Java: The Complete Reference, Thirteenth Edition on Amazon

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Read through the chapters that cover the topics relevant to the course.
Complete the exercises and examples provided in the book to practice your skills.

Solve LeetCode Problems on Streaming Data

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Solving LeetCode problems specifically focused on streaming data can challenge your understanding, improve your problem-solving skills, and enhance your ability to apply concepts in real-world scenarios.

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Identify LeetCode problems tagged with 'streaming' or 'data streams'.
Attempt to solve the problems using the concepts covered in the course.

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Career center

Learners who complete Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service will develop knowledge and skills that may be useful to these careers:

Data Engineer

A Data Engineer designs, builds, and maintains the infrastructure that stores and processes data. They work with data scientists and data analysts to ensure that the data is reliable, accurate, and accessible. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Data Engineers. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

See salaries and explore the career path for Data Engineer

Data Analyst

A Data Analyst examines large data sets to uncover meaningful insights. They analyze data using advanced statistical and analytical techniques. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Data Analysts. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist applies advanced analytical methods, machine learning algorithms, and statistical modeling to extract meaningful insights from data. They use these insights to make informed decisions and develop innovative solutions. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be helpful for those who wish to become Data Scientists. It helps build a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

See salaries and explore the career path for Data Scientist

Software Engineer

A Software Engineer designs, develops, and maintains software applications. They work with end-users to gather requirements and develop software solutions. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Software Engineers. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Database Administrator

A Database Administrator manages and maintains databases. They ensure that databases are available, reliable, and secure. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Database Administrators. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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IT Consultant

An IT Consultant provides consulting services to organizations on how to use technology to improve their business. They work with clients to assess their needs, develop solutions, and implement those solutions. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become IT Consultants. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Product Manager

A Product Manager manages the development and launch of new products. They work with engineers, designers, and marketers to bring products to market. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Product Managers. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Cloud Architect

A Cloud Architect designs, builds, and manages cloud computing solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Cloud Architects. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Business Intelligence Analyst

A Business Intelligence Analyst analyzes data to identify trends and patterns. They use this information to make recommendations for improving business performance. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Business Intelligence Analysts. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Systems Analyst

A Systems Analyst analyzes and designs business systems. They work with stakeholders to understand business needs and develop systems that meet those needs. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Systems Analysts. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

See salaries and explore the career path for Systems Analyst

Software Architect

A Software Architect designs and oversees the development of software systems. They work with stakeholders to define system requirements, develop system architecture, and ensure that the system meets its requirements. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Software Architects. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Project Manager

A Project Manager plans, executes, and closes projects. They work with stakeholders to define project scope, develop project plans, and track project progress. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Project Managers. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Technical Program Manager

A Technical Program Manager manages the development and delivery of technical solutions. They work with engineers, product managers, and other stakeholders to ensure that technical solutions meet business needs. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Technical Program Managers. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. They work with data scientists and other engineers to build and maintain machine learning systems. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Machine Learning Engineers. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Data Architect

A Data Architect designs and manages the architecture of data systems. They work with stakeholders to understand data requirements and develop data solutions that meet those requirements. This course, Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service, may be useful for those who wish to become Data Architects. It provides a foundation in the fundamentals of streaming data analytics using Apache Flink and SQL.

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Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service

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