Fundamentals of Analytics on AWS – Part 1

This course is the first of two offerings designed to introduce learners to the current market trends in analytics. In Part 1, you will learn fundamental concepts such as types of analytics, the 5 V's of big data, and the challenges associated with processing high volumes of data. This course also maps the 5 V's of big data to AWS services for analytics and discusses how AWS provides the most comprehensive services on the market. Following completion of this course, learners are encouraged to continue their journey with Fundamentals of Analytics on AWS -- Part 2.

This course is the first of two offerings designed to introduce learners to the current market trends in analytics. In Part 1, you will learn fundamental concepts such as types of analytics, the 5 V’s of big data, and the challenges associated with processing high volumes of data. This course also maps the 5 V’s of big data to AWS services for analytics and discusses how AWS provides the most comprehensive services on the market. Following completion of this course, learners are encouraged to continue their journey with Fundamentals of Analytics on AWS — Part 2.

  • Course level: Fundamental
  • Duration: 2 hours

Activities

This course includes: lessons, videos, scenarios, and knowledge check questions.

Course objectives

In this course, you will learn to:

  • Explain data analytics, data analysis, analytics types, techniques, and analytics challenges.
  • Define machine learning (ML), ML on AWS, and different levels of AWS for ML services.
  • Define the 5 V’s of big data.
  • Explain common ways to store data, challenges, characteristics of source data storage systems, and available AWS solutions.
  • Explain data transportation, options for different environments, and available AWS solutions.
  • Define data processing, options for each type of processing, and available AWS solutions.
  • Identify different types of data structures, types of data storage, and available AWS solutions.
  • Explain where ETL and ELT fits in multiple places of the analytics pipeline, the elements of an ETL and ELT process, and available AWS solutions.
  • Explain the use of business intelligence tools to gain value from analytics, and available AWS solutions.

Intended audience

This course is intended for:

  • Cloud architects
  • Data engineers
  • Data analysts
  • Data scientists
  • Developers

Prerequisites

We recommend that attendees of this course have:

Course outline

Section 1: Introduction

Lesson 1: How to Use This Course

Lesson 2: Course Overview

Section 2: Analytics Concepts

Lesson 3: Analytics

Lesson 4: Machine Learning

Lesson 5: 5 Vs of Big Data

Lesson 6: Volume

Lesson 7: Variety

Lesson 8: Velocity

Lesson 9: Veracity

Lesson 10: Value

Section 3: AWS Services for Analytics

Lesson 11: AWS Services for Volume

Lesson 12: AWS Services for Variety

Lesson 13: AWS Services for Velocity

Lesson 14: AWS Services for Veracity

Lesson 15: AWS Services for Value

Section 4: Conclusion

Lesson 16: Quiz

Lesson 17: Course Summary

Lesson 18: Appendix of Resources

Lesson 19: Feedback

About Instructor

AWS

147 Courses

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FREE

Course Includes

  • 2 Lessons
  • Course Certificate
  • Instructor: AWS

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