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AWS Big Data in Production

Matthew Alexander

The amount of data in the world of business continues to grow almost exponentially. This course will teach you how to use AWS provided tools to create the necessary support structure for handling big data now and in the future.

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The amount of data in the world of business continues to grow almost exponentially. This course will teach you how to use AWS provided tools to create the necessary support structure for handling big data now and in the future.

As the world of business continues to operate at a normal pace, the amount of data that is generated grows almost exponentially. Handling this increase in data requires both intelligent applications and smart tooling. In this course, AWS Big Data in Production, you will learn how to strategically implement big data on AWS in production environments. First, you will learn how to automate infrastructure provisioning with CloudFormation all the while controlling costs. Next, you will discover how to secure customer data through IAM and encryption at rest with S3 and EBS. Finally, you will explore how to visualize data using QuickSight. When you're finished with this course, you will have the skills and knowledge of big data practices needed to enrich your current big data systems.

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What's inside

Syllabus

Course Overview
Automating Governance with CloudFormation
Securing Data with IAM and Encryption at Rest
Monitoring Availability with CloudWatch
Read more
Visualizing Data with QuickSight

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Matthew Alexander, who has extensive experience working with AWS infrastructure and big data systems
Examines big data practices and tools on AWS, which is highly relevant to cloud computing and data science
Develops skills in automating infrastructure provisioning, securing customer data, and visualizing data, which are considered foundational skills in big data engineering
Course requires learners to have a basic understanding of AWS and big data concepts

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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 AWS Big Data in Production with these activities:
Revisit Linux commands
Reviewing Linux commands will refresh foundational knowledge necessary for this course.
Browse courses on Linux
Show steps
  • Go to a command line interface
  • Run commands from a list
  • Take notes on the functionality of the commands
Review Data Modeling Concepts
Strengthen your understanding of data modeling techniques to enhance your ability to design and manage big data solutions.
Browse courses on Data Modeling
Show steps
  • Review materials from a previous data modeling course or tutorial.
  • Work through practice exercises and case studies to test your comprehension.
Attend AWS Big Data User Group Meetups
Network with professionals working in the field of big data analytics on AWS.
Browse courses on AWS
Show steps
  • Find local AWS Big Data User Group meetups.
  • Attend the meetups and participate in discussions.
Ten other activities
Expand to see all activities and additional details
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Join a study group
Joining a study group will provide opportunities to ask questions, get help from peers, and reinforce your understanding.
Show steps
  • Find a study group that aligns with your schedule and learning style
  • Participate regularly in study group meetings
  • Contribute to the group by sharing your knowledge and questions
Review Big Data Analytics
Boost your understanding of the foundational concepts of big data analytics covered in this course.
View Big Data, Big Analytics: Emerging Business... on Amazon
Show steps
  • Read the first three chapters of the book.
  • Create a mind map summarizing the key concepts and frameworks.
AWS Big Data Workshop
Gain practical experience with AWS big data tools and technologies.
Browse courses on AWS
Show steps
  • Register for an AWS Big Data Workshop.
  • Attend the workshop and participate in hands-on exercises.
Create a data dictionary
Creating a data dictionary will help you organize and understand the data you'll be working with in this course.
Show steps
  • Identify the different types of data you have
  • Define the meaning of each data element
  • Create a table or spreadsheet to store your data dictionary
Practice CloudFormation Deployment
Enhance your proficiency in using CloudFormation by practicing deployment of various infrastructure scenarios.
Browse courses on CloudFormation
Show steps
  • Create and modify CloudFormation templates for different scenarios.
  • Deploy and manage the provisioned infrastructure using the AWS CLI.
Automate Infrastructure Provisioning with CloudFormation
Develop your skills in automating cloud infrastructure provisioning with CloudFormation, reinforcing the concepts learned in the course.
Browse courses on CloudFormation
Show steps
  • Create an AWS account and set up the necessary permissions.
  • Develop a CloudFormation template to provision a basic infrastructure stack.
  • Deploy the template and monitor the progress of the provisioning.
Secure Data with IAM and Encryption at Rest
Showcase your grasp of data security by developing an IAM policy and implementing encryption mechanisms for an AWS-based data solution.
Browse courses on IAM
Show steps
  • Create an AWS IAM policy that defines user roles and permissions.
  • Configure encryption at rest for S3 buckets and EBS volumes.
  • Test the effectiveness of the implemented security measures.
Follow a tutorial on AWS Lambda
Following a tutorial on AWS Lambda can provide hands-on experience with one of the technologies covered in this course.
Browse courses on AWS Lambda
Show steps
  • Find a tutorial on AWS Lambda
  • Follow the tutorial step-by-step
  • Deploy your AWS Lambda function
Explore Advanced CloudFormation Features
Delve deeper into CloudFormation's capabilities by following tutorials that cover advanced features such as parameterization and custom resource types.
Browse courses on CloudFormation
Show steps
  • Identify tutorials that demonstrate advanced CloudFormation techniques.
  • Follow the tutorials and implement the concepts in your own projects.
Visualize Data with QuickSight Dashboard
Solidify your understanding of data visualization by creating a QuickSight dashboard that presents insights from a dataset of your choice.
Browse courses on QuickSight
Show steps
  • Gather data from an API, CSV file, or database.
  • Create a QuickSight account and explore the available datasets.
  • Build a dashboard that presents key metrics and insights from the data.

Career center

Learners who complete AWS Big Data in Production will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
Big Data Engineers are responsible for designing, building, and maintaining big data systems. This course in AWS Big Data in Production would be a great fit for Big Data Engineers as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course will help you develop the skills and knowledge necessary to become a successful Big Data Engineer.
See salaries and explore the career path for Big Data Engineer
Data Scientist
Data Scientists are responsible for using data to solve business problems. This course in AWS Big Data in Production would be beneficial for Data Scientists as it provides hands-on experience with the tools and techniques needed to manage and analyze big data in production environments. Completing this course will help you develop the skills and knowledge necessary to become a successful Data Scientist.
See salaries and explore the career path for Data Scientist
Data Analyst
Data Analysts are responsible for gathering, organizing, interpreting, and presenting data. This course in AWS Big Data in Production would be invaluable for Data Analysts as it provides hands-on experience with the tools and techniques needed to manage and analyze big data in production environments. Completing this course will help you develop the skills and knowledge necessary to become a successful Data Analyst.
See salaries and explore the career path for Data Analyst
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course in AWS Big Data in Production would be beneficial for Database Administrators as it provides hands-on experience with the AWS tools and services used to manage and maintain big data systems. Completing this course will help you develop the skills and knowledge necessary to become a successful Database Administrator.
See salaries and explore the career path for Database Administrator
Cloud Architect
Cloud Architects are responsible for designing and implementing cloud computing solutions. This course in AWS Big Data in Production would be helpful for Cloud Architects as it provides hands-on experience with the AWS tools and services used to build and manage big data systems in the cloud. Completing this course will help you develop the skills and knowledge necessary to become a successful Cloud Architect.
See salaries and explore the career path for Cloud Architect
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course in AWS Big Data in Production would be beneficial for Software Engineers as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course will help you develop the skills and knowledge necessary to become a successful Software Engineer.
See salaries and explore the career path for Software Engineer
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines. This course in AWS Big Data in Production would be beneficial for Data Engineers as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course will help you develop the skills and knowledge necessary to become a successful Data Engineer.
See salaries and explore the career path for Data Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. This course in AWS Big Data in Production may be useful for Machine Learning Engineers as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course may help you develop the skills and knowledge necessary to become a successful Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Business Intelligence Analyst
Business Intelligence Analysts are responsible for using data to improve business decision-making. This course in AWS Big Data in Production may be useful for Business Intelligence Analysts as it provides hands-on experience with the AWS tools and services used to manage and analyze big data in production environments. Completing this course may help you develop the skills and knowledge necessary to become a successful Business Intelligence Analyst.
See salaries and explore the career path for Business Intelligence Analyst
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visual representations of data. This course in AWS Big Data in Production may be useful for Data Visualization Specialists as it provides hands-on experience with the AWS tools and services used to visualize big data. Completing this course may help you develop the skills and knowledge necessary to become a successful Data Visualization Specialist.
See salaries and explore the career path for Data Visualization Specialist
Product Manager
Product Managers are responsible for managing the development and launch of new products. This course in AWS Big Data in Production may be useful for Product Managers as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course may help you develop the skills and knowledge necessary to become a successful Product Manager.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. This course in AWS Big Data in Production may be useful for Project Managers as it provides hands-on experience with the AWS tools and services used to manage and analyze big data in production environments. Completing this course may help you develop the skills and knowledge necessary to become a successful Project Manager.
See salaries and explore the career path for Project Manager
IT Manager
IT Managers are responsible for managing and supporting IT systems. This course in AWS Big Data in Production may be useful for IT Managers as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course may help you develop the skills and knowledge necessary to become a successful IT Manager.
See salaries and explore the career path for IT Manager
Data Warehouse Administrator
Data Warehouse Administrators are responsible for managing and maintaining data warehouses. This course in AWS Big Data in Production may be useful for Data Warehouse Administrators as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course may help you develop the skills and knowledge necessary to become a successful Data Warehouse Administrator.
See salaries and explore the career path for Data Warehouse Administrator
Systems Engineer
Systems Engineers are responsible for designing, implementing, and maintaining computer systems. This course in AWS Big Data in Production may be useful for Systems Engineers as it provides hands-on experience with the AWS tools and services used to build and manage big data systems. Completing this course may help you develop the skills and knowledge necessary to become a successful Systems Engineer.
See salaries and explore the career path for Systems Engineer

Reading list

We've selected seven 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 AWS Big Data in Production.
Cover image
Spark: The Definitive Guide
Save
A comprehensive guide to Apache Spark, covering its features, functionality, and best practices for building and deploying Spark applications.
Spark: The Definitive Guide
Paperback
Check
Spark: The Definitive Guide
Kindle Edition
Check
Cover image
Applied Text Analysis with Python
Save
A comprehensive reference guide to AWS big data services, providing detailed information on their features, functionality, and best practices.
Applied Text Analysis with Python: Enabling...
Paperback
$$
Applied Text Analysis with Python: Enabling...
Kindle Edition
$$
Cover image
Hadoop: The Definitive Guide
Save
Is highly relevant as it provides in-depth knowledge of Hadoop, which key technology for big data processing and is mentioned in the course.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Big Data Analytics
Save
A comprehensive guide to big data analytics, covering the strategic, technical, and operational aspects of implementing big data solutions.
Big Data Analytics: From Strategic Planning to...
Kindle Edition
$$
Cover image
Reinventing Capitalism in the Age of Big Data
Save
A thought-provoking exploration of the impact of big data on society, offering insights into its potential and challenges.
Reinventing Capitalism in the Age of Big Data
Audible Audiobook
$$
Reinventing Capitalism in the Age of Big Data
Kindle Edition
$$
Cover image
Designing Data-Intensive Applications
Save
Good companion to the course as it offers a comprehensive overview of data-intensive applications and their design principles.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
Platform as a Service For Dummies
Save
A beginner-friendly introduction to cloud data services, providing an overview of different types of services and their use cases.
Platform as a Service For Dummies
Paperback
Check
Platform as a Service For Dummies
Kindle Edition
Check

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Course image
Time
87 hours
Level
Advanced
Via
Pluralsight
Instructor
Matthew Alexander
Language
English
This course belongs to a collection called AWS Big Data. It's comprised of nine courses:
  1. Getting Started with AWS Athena
  2. Implementing Amazon S3 Storage on AWS
  3. Building Your First Amazon Redshift Data Warehouse
  4. Developing Stream Processing Applications with AWS Kinesis
  5. AWS Big Data in Production (viewing)
  6. Serverless Analytics on AWS
  7. Big Data on AWS: The Big Picture
  8. Handling and Analyzing Data with AWS Elastic MapReduce
  9. Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS
Good to know
Taught by Matthew Alexander, who has extensive experience working with AWS infrastructure and big data systems
Examines big data practices and tools on AWS, which is highly relevant to cloud computing and data science
Develops skills in automating infrastructure provisioning, securing customer data, and visualizing data, which are considered foundational skills in big data engineering
Course requires learners to have a basic understanding of AWS and big data concepts
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