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Big Data on Amazon Web Services

This course contains an overview and demonstration of numerous components in the Amazon Web Services (AWS) Big Data Stack.

This course provides a tour through Amazon Web Services' (AWS) Big Data stack components, namely DynamoDB, Elastic MapReduce (EMR), Redshift, Data Pipeline, and Jaspersoft BI on AWS. AWS Kinesis is also discussed. All steps for creating an AWS account, setting up a security key pair and working with AWS Simple Storage Service (S3) are covered as well. Numerous demos are provided, demonstrating interaction through AWS components via Web browser user interfaces, command line, and desktop tools.

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What's inside

Syllabus

Introduction

Overview

AWS Preliminaries

DynamoDB

Elastic MapReduce

Redshift

Data Pipeline

Jaspersoft

Epilogue

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Amazon's Big Data stack components, including DynamoDB, Elastic MapReduce, Redshift, Data Pipeline, and Jaspersoft BI

Provides hands-on experience through demonstrations and interaction via various user interfaces

Covers essential steps for setting up AWS accounts and working with AWS Simple Storage Service (S3)

Suitable for those interested in gaining an overview of AWS's Big Data capabilities

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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 Big Data on Amazon Web Services with these activities:

Practice AWS Command Line Interface (CLI)

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Strengthen your understanding of AWS fundamentals and reinforce your knowledge of the AWS CLI.

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Install AWS CLI
Configure AWS CLI credentials
List S3 buckets using CLI
Create and delete S3 buckets using CLI
Upload and download files to S3 using CLI

Create a Data Pipeline using AWS Data Pipeline Tutorial

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Gain hands-on experience with AWS Data Pipeline to enhance your understanding of data processing in AWS.

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Follow the AWS Data Pipeline Tutorial
Create a data pipeline that extracts, transforms, and loads data
Schedule the data pipeline to run periodically
Monitor the data pipeline's progress and results
Troubleshoot and debug any issues with the data pipeline

Attend an AWS Big Data Workshop

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Deepen your knowledge of AWS Big Data services and best practices through hands-on workshops and expert guidance.

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Identify an AWS Big Data workshop that aligns with your interests
Register for the workshop and prepare any necessary materials
Attend the workshop and actively participate in exercises and discussions
Apply the knowledge and skills gained in the workshop to your own projects
Network with other attendees and industry professionals

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Mentor a Junior Data Engineer

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Share your knowledge and experience by mentoring a junior data engineer in AWS Big Data.

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Identify a junior data engineer who is eager to learn and grow
Establish regular communication and set clear goals for the mentorship
Provide guidance and support on technical topics related to AWS Big Data
Review their work, provide feedback, and encourage their development
Celebrate their progress and help them build confidence in their abilities

Create a Data Analysis Report using Amazon Redshift

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Demonstrate your mastery of data analysis techniques by creating a comprehensive report using Amazon Redshift.

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Define the business problem and data requirements for your analysis
Extract and load data into Amazon Redshift
Perform data analysis and visualizations using SQL and Redshift's built-in functions
Generate a detailed report that presents your findings and recommendations
Share your report with stakeholders and discuss the implications of your analysis

Contribute to an Open-Source AWS Big Data Project

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Make meaningful contributions to the AWS Big Data community by participating in open-source projects.

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Identify an open-source AWS Big Data project that aligns with your interests
Review the project's documentation and codebase
Identify an area where you can contribute, such as bug fixes, feature enhancements, or documentation improvements
Create a pull request with your proposed changes
Collaborate with the project maintainers to refine and merge your contributions

Participate in an AWS Big Data Hackathon

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Challenge yourself and showcase your skills by participating in an AWS Big Data hackathon.

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Identify an AWS Big Data hackathon that aligns with your interests and skill set
Form a team or work individually on a project idea
Develop and implement your solution using AWS Big Data services
Submit your project and present it to a panel of judges
Receive feedback and recognition for your efforts

Career center

Learners who complete Big Data on Amazon Web Services will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers are responsible for the management of big data. This includes the analysis and collection of large data sets as well as the creation of data infrastructure and tools to support stakeholders. The Amazon Web Services (AWS) Big Data Stack incorporates many tools used by Data Engineers in their day-to-day work. Taking this course can help you build a foundation for success in this career field.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators ensure that database management systems are running smoothly and efficiently. They may work with a variety of database technologies, including relational databases, NoSQL databases, and big data platforms. This course provides an overview of DynamoDB, a NoSQL database offered by AWS, which may be useful for those seeking a career as a Database Administrator.

See salaries and explore the career path for Database Administrator

Database Designer

Database Designers design and implement databases. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Database Designer

Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Data Governance Analyst

Data Integration Architect

Data Integration Architects design and implement data integration solutions. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Data Integration Architect

Data Warehouse Architect

Data Warehouse Architects design and implement data warehouses. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Data Warehouse Architect

Data Quality Analyst

Data Quality Analysts ensure that data is accurate, consistent, and complete. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Data Quality Analyst

Big Data Architect

Big Data Architects plan, design, and implement big data initiatives. They help organizations understand the big data landscape and make informed decisions about how to use it to achieve their goals. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Big Data Architect

Systems Analyst

Systems Analysts design and implement computer systems. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Systems Analyst

Cloud Architect

Cloud Architects design and implement cloud computing solutions. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Cloud Architect

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They may work on a variety of projects, such as predictive analytics, natural language processing, and computer vision. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. They may work on a variety of projects, such as predictive analytics, natural language processing, and computer vision. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

Business Intelligence Analysts provide insights to help organizations make better decisions. They may work with data from a variety of sources, including big data platforms, to identify trends and patterns. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. They may use a variety of tools and techniques, including statistical analysis, machine learning, and data visualization. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They may work on a variety of projects, including big data applications. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 11 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 Big Data on Amazon Web Services.

Principles of Database Management

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Provides a comprehensive overview of big data analytics. It covers the entire process of big data analytics, from strategic planning to enterprise integration. It valuable resource for learners who want to gain a deep understanding of big data analytics.

Principles of Database Management: The Practical...

Hardcover

$$$

Principles of Database Management: The Practical...

Kindle Edition

$$$

Designing Data-Intensive Applications

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Provides architectural principles and patterns for designing and building data-intensive applications, offering valuable insights for those working with big data technologies.

Big Data on Amazon Web Services

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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