Big Data on AWS: The Big Picture from Pluralsight

In this course, you'll gain an overview of Amazon’s most important big data services, then drill down to cover each one. You'll learn the capabilities of each service and even see some demos to make everything concrete.

In this course, you'll gain an overview of Amazon's most important big data services. You'll learn the capabilities of each service in AWS and see some demos!

AWS is short Amazon Web Services which is Amazon's cloud computing platform for consumers, companies and even governments.

Big data is data sets that are too large or complex for traditional data processing software. Usually containing massive files and extensively growing over time, big data has many varieties, volumes, velocities and veracities.

This is a beginner course therefore no prerequisites are required. This course will show you the capabilities of each service within AWS. Having a good understanding of Information Technology is always a plus but not required.

Big data is always classified into three sections: Structured Data, Semi-Structured Data, and Unstructured Data.

What's inside

Syllabus

Course Overview

Introduction: Big Data Concepts

AWS Big Data Services

Batch Analytics with Elastic MapReduce (EMR)

AI and Streaming Data Processing with EMR

Data Warehousing with Amazon Redshift

(Big) Data Integration and Pipelines

Visualizing Your Big Data with QuickSight

Strategy

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Andrew Brust, who is an established expert in the field of big data and AWS

Develops skills and knowledge for beginners in the field of big data and AWS

Includes a good mix of theory and hands-on practice in big data and AWS

Covers a wide range of topics in big data and AWS, from data storage and processing to data analytics and visualization

Provides an overview of big data and AWS, making it a good starting point for those new to the field

Might require additional research and exploration for those seeking in-depth knowledge in specific areas of big data and AWS

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 AWS: The Big Picture with these activities:

Revisit online resources

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Reinforce prior knowledge and build a strong foundation for the course.

Browse courses on Big Data

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Visit course resource page and review course overview and syllabus.
Review key concepts related to big data and cloud computing.
Complete any practice exercises or quizzes provided on the course platform.

Organize Course Materials

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Improve organization, facilitate review, and enhance retention of course content.

Browse courses on Note taking

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Create a dedicated folder or notebook for course materials.
Organize notes, assignments, quizzes, and exams by topic or module.
Highlight key concepts and summarize important points in your own words.

Explore AWS Big Data Services

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Develop familiarity with the capabilities of different AWS Big Data services.

Browse courses on Amazon Redshift

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Follow guided tutorials provided by AWS or other reputable sources.
Set up and configure a demo environment for each service.
Perform basic operations and explore the features of each service.
Review documentation and explore additional resources to deepen your understanding.

Three other activities

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Practice Big Data Concepts

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Solidify understanding and improve proficiency in working with Big Data concepts.

Browse courses on Data Warehousing

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Solve practice problems and exercises related to data warehousing, analytics, and visualization.
Participate in online forums or discussion groups to ask questions and share insights.
Complete assignments and projects that involve applying Big Data techniques and tools.

Build a Personal Data Analytics Dashboard

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Demonstrate practical application of course concepts and develop a valuable tool for data-driven decision-making.

Browse courses on Data Analysis

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Identify a real-world dataset or use a publicly available dataset.
Clean, prepare, and analyze the data using appropriate techniques.
Develop data visualizations to present insights and key findings.
Deploy the dashboard on a cloud platform or locally accessible environment.

Participate in Big Data Hackathon

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Apply course knowledge and gain practical experience in a competitive environment.

Browse courses on Big Data Analytics

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Find a relevant Big Data hackathon or competition.
Form a team or participate individually.
Develop an innovative data-driven solution to the proposed challenge.
Present your solution and compete for recognition and prizes.

Career center

Learners who complete Big Data on AWS: The Big Picture will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers apply engineering principles in the development of software. This course can help build a foundation for this role. Concepts such as data structures and algorithms are relevant to software development. Also, this course covers a wide array of development software offered by Amazon, which is a popular technology firm.

See salaries and explore the career path for Software Engineer

Data Scientist

Data Scientists build and maintain systems that are used to collect and interpret data. This course may help build a foundation by introducing key concepts and tools used in the field. For example, this course covers Amazon's EMR tool which is used for data analysis.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts help understand the value of business software and work with stakeholders to understand their needs. This course may be useful in understanding how data analytics software works and how it can be integrated to meet business needs. Amazon is a leader in the provision of business software.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers build, maintain, and manage data systems. This course may be useful in understanding how to use tools like Amazon's EMR which are used to move, process, and store large data sets used by businesses.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers apply machine learning algorithms to build self-learning systems. This course may be useful in understanding the tools used to gather and organize big data sets used by Machine Learning Engineers. Also, understanding Amazon Web Services, which is covered in this course, is a key skill for this role.

See salaries and explore the career path for Machine Learning Engineer

Cloud Architect

Cloud Architects design and maintain computing systems on cloud platforms. This course can help build a foundation in cloud computing by introducing key concepts and tools used by Amazon in this space. For example, this course covers services like Amazon Redshift which is a data warehouse service that is designed to handle large amounts of data.

See salaries and explore the career path for Cloud Architect

Data Analyst

Data Analysts transform raw data into useful information. This course may be helpful by providing introductory knowledge about big data tools and services, such as those offered by Amazon. Also, this course introduces concepts such as data pipelines which are important to this role.

See salaries and explore the career path for Data Analyst

IT Manager

IT Managers oversee and manage Information Technology (IT) resources. This course may be helpful for building a foundation in the management of large data systems. Also, this course provides an overview of many important tools offered by Amazon which is a big player in the IT space.

See salaries and explore the career path for IT Manager

Database Administrator

Database Administrators implement and maintain database systems. This course may be useful by providing an introduction to concepts such as data pipelines and data processing which are important to this role. Also, this course covers Amazon Redshift, which is a popular relational database.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts protect information systems from unauthorized access or use. This course may be useful in understanding how large data sets are stored, processed, and managed, which is a key element of this field.

See salaries and explore the career path for Information Security Analyst

Project Manager

Project Managers plan, coordinate, and execute projects. This course may be helpful by introducing candidates to key concepts related to data systems. Also, this course covers data processing services such as Amazon EMR which are often used on projects that involve big data.

See salaries and explore the career path for Project Manager

Web Developer

Web Developers design, build, and maintain websites. This course may be helpful by providing foundational knowledge about data processing tools and services. Also, understanding cloud computing concepts, such as those offered by Amazon, is necessary for this role.

See salaries and explore the career path for Web Developer

Data Architect

Data Architects design and implement data systems. This course may be helpful by providing introductory knowledge about big data tools and services, such as those offered by Amazon.

See salaries and explore the career path for Data Architect

Systems Analyst

Systems Analysts design and implement computer systems. This course may be useful by providing foundational knowledge about data processing tools and services. Also, understanding cloud computing concepts, such as those offered by Amazon, is necessary for this role.

See salaries and explore the career path for Systems Analyst

IT Auditor

IT Auditors evaluate and report on the effectiveness of IT systems. This course may be useful by providing an introduction to big data concepts and services. Also, this course covers Amazon EMR, which is a popular data processing tool.

See salaries and explore the career path for IT Auditor