Introduction to Data Engineering

Introduction to Data Engineering

This course is part of DeepLearning.AI Data Engineering Professional Certificate

Instructor: Joe Reis

Top Instructor

23,406 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

4.8

(316 reviews)

Intermediate level

Recommended experience

Flexible schedule

Approx. 17 hours

Learn at your own pace

96%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

4.8

(316 reviews)

Intermediate level

Recommended experience

Flexible schedule

Approx. 17 hours

Learn at your own pace

96%

Most learners liked this course

What you'll learn

Gain a comprehensive understanding of the data engineering lifecycle and its undercurrents
Gather stakeholder needs and translate them into system requirements
Design and implement batch and streaming data pipelines on AWS

Details to know

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This course is part of the DeepLearning.AI Data Engineering Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

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Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

In this course, you will be introduced to the data engineering lifecycle, from data generation in source systems, to ingestion, transformation, storage, and serving data to downstream stakeholders. You’ll study the key undercurrents that affect all stages of the lifecycle, and start developing a framework for how to think like a data engineer. To gain hands-on practice, you’ll gather stakeholder needs, translate those needs into system requirements, and choose tools and technologies to build systems that provide business value. By the end of this course you’ll be spinning up batch and streaming data pipelines to serve product recommendations on the AWS cloud!

Gain a high-level overview of the data engineering lifecycle and key undercurrents to understand how data engineers add business value to organizations. Start developing a mental framework for thinking like a data engineer, starting with gathering stakeholder needs and translating them into system requirements. Learn the basics of working on the cloud from an AWS expert.

What's included

18 videos10 readings1 assignment1 app item

18 videosTotal 110 minutes

Welcome to Data Engineering6 minutesPreview module
Course 1 Overview 5 minutes
Data Engineering Defined6 minutes
[Optional] A Brief History of Data Engineering 7 minutes
The Data Engineer Among Other Stakeholders4 minutes
[Optional] Business Value4 minutes
System Requirements3 minutes
[Optional] Conversation with Sol Rashidi11 minutes
[Optional] Conversation with Jordan Morrow5 minutes
Requirements Gathering Conversation10 minutes
Translate Stakeholder Needs into Specific Requirements6 minutes
Thinking Like a Data Engineer5 minutes
Data Engineering on the Cloud3 minutes
Meet Morgan Willis3 minutes
Intro to the AWS Cloud5 minutes
Intro to AWS Core Services9 minutes
Walkthrough of the AWS Management Console6 minutes
Week 1 Summary2 minutes

10 readingsTotal 54 minutes

Program Syllabus5 minutes
Acknowledgments5 minutes
[IMPORTANT] Have questions, issues or ideas? Join our Forum!2 minutes
AWS Regions and Availability Zones10 minutes
Compute - Amazon Elastic Compute Cloud (EC2)10 minutes
Networking - Virtual Private Cloud (VPC) & Subnets10 minutes
Security - AWS Shared Responsibility Model5 minutes
[Optional] Creating an AWS Account5 minutes
Lecture Notes W11 minute
Week 1 Resources1 minute

1 assignmentTotal 30 minutes

Week 1 Quiz30 minutes

1 app itemTotal 1 minute

Intake Survey1 minute

Dive deeper into the stages of the data engineering lifecycle and its key undercurrents. Build an end-to-end data pipeline on AWS that encompasses all the stages of the data engineering lifecycle.

What's included

20 videos3 readings1 assignment1 programming assignment

20 videosTotal 93 minutes

Week 2 Overview1 minutePreview module
Data Generation in Source Systems4 minutes
Ingestion4 minutes
Storage6 minutes
Queries, Modeling, and Transformation5 minutes
Serving Data5 minutes
Introduction to the Undercurrents1 minute
Security5 minutes
Data Management4 minutes
Data Architecture6 minutes
DataOps7 minutes
Orchestration5 minutes
Software Engineering4 minutes
Lesson Intro1 minute
The Data Engineering Lifecycle on AWS4 minutes
The Undercurrents on AWS4 minutes
Lab Walkthrough - Introduction to the Lab5 minutes
Lab Walkthrough - Setting up the Lab3 minutes
Lab Walkthrough - Preview of the Lab Content7 minutes
Week 2 Summary1 minute

3 readingsTotal 12 minutes

[IMPORTANT] Guidelines before you start the labs in this course10 minutes
Lecture Notes W21 minute
Week 2 Resources1 minute

1 assignmentTotal 30 minutes

Week 2 Quiz30 minutes

1 programming assignmentTotal 120 minutes

Assignment 1: An Example of the Data Engineering Lifecycle120 minutes

Define data architecture and how it fits within the larger enterprise architecture. Examine the principles of good data architecture and how these principles inform tools and technology choices. Evaluate and optimize the security, performance, reliability, cost-efficiency, and scalability of a web application hosted on AWS.

What's included

22 videos2 readings1 assignment1 programming assignment

22 videosTotal 95 minutes

Week 3 Overview1 minutePreview module
What is Data Architecture?5 minutes
[Optional] Conway's Law2 minutes
Principles of Good Data Architecture3 minutes
Always Architecting3 minutes
When your Systems Fail7 minutes
Batch Architectures5 minutes
Streaming Architectures6 minutes
Architecting for Compliance4 minutes
Choosing Tools and Technologies2 minutes
Location2 minutes
Monolith vs Modular Systems3 minutes
Cost Optimization and Business Value7 minutes
Build vs Buy4 minutes
Server, Container, and Serverless Compute Options5 minutes
How the Undercurrents Impact Your Decisions4 minutes
Intro to the AWS Well-Architected Framework1 minute
The AWS Well-Architected Framework5 minutes
Lab Walkthrough - Introduction to the Lab3 minutes
Lab Walkthrough - Monitoring the Web App4 minutes
Lab Walkthrough - Applying the Principles of Good Data Architecture10 minutes
Week 3 Summary1 minute

2 readingsTotal 2 minutes

Lecture Notes W31 minute
Week 3 Resources1 minute

1 assignmentTotal 30 minutes

Week 3 Quiz30 minutes

1 programming assignmentTotal 120 minutes

Assignment 2: Good Data Architecture120 minutes

Practice gathering stakeholder needs and translating them into system requirements. Choose the appropriate tools and technologies based on the system requirements, then build an end-to-end data system that includes a batch and a streaming component to train a product recommendation system and serves product recommendations to a sales platform.

What's included

17 videos5 readings3 assignments1 programming assignment

17 videosTotal 91 minutes

Week 4 Overview2 minutesPreview module
Requirements4 minutes
Conversation with Matt Housley4 minutes
Conversation with the CTO6 minutes
Conversation with Marketing6 minutes
Breaking Down the Conversation with Marketing4 minutes
Conversation with the Software Engineer8 minutes
Documenting Nonfunctional Requirements5 minutes
Requirements Gathering Summary4 minutes
Requirements Gathering Exercise2 minutes
Follow-up Conversation with the Data Scientist6 minutes
AWS Services for Batch Pipelines9 minutes
AWS Services for Streaming Pipelines6 minutes
Lab Walkthrough - Implementing the Batch Pipeline6 minutes
Lab walkthrough - Setting up the Vector Database5 minutes
Lab walkthrough - Implementing the Streaming Pipeline4 minutes
Course 1 Summary2 minutes

5 readingsTotal 56 minutes

Transcript of the Conversation with the Data Scientist10 minutes
Conversation Take-Aways10 minutes
[Optional] Details of the Recommender System5 minutes
AWS Services to Meet Your Requirements30 minutes
Lecture Notes W41 minute

3 assignmentsTotal 90 minutes

Choosing Tools and Technologies for Your Data Pipelines30 minutes
Week 4 Quiz30 minutes
Reflection: Extracting Functional & Nonfunctional Requirements30 minutes

1 programming assignmentTotal 120 minutes

Assignment 3: Building End-to-End Batch and Streaming Data Pipelines Based on Stakeholder Requirements120 minutes

Instructor

Instructor ratings

4.9 (119 ratings)

Top Instructor

Joe Reis

DeepLearning.AI

4 Courses24,832 learners

Offered by

DeepLearning.AI

Amazon Web Services

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Reviewed on Oct 18, 2024

I appreciate the addition of the DE mental framework as it gives a whole lot of context to the more practical knowledge that will be learned in the next courses.

Reviewed on Nov 25, 2024

Easy to follow and lots of good information. Not too technical, but it is the intro :)

Reviewed on Sep 21, 2024

Good theory introduction, and looking forward to the hands-on practices in the next courses.

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Introduction to Data Engineering

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your Cloud Computing expertise

Earn a career certificate

There are 4 modules in this course