dbt-Beginner to Pro

dbt-Beginner to Pro, available at $44.99, has an average rating of 4.15, with 38 lectures, based on 22 reviews, and has 138 subscribers.

You will learn about Core features of dbt Define ETL pipeline using dbt dbt API dbt test dbt macro, snapshots dbt hooks Other advance features of dbt This course is ideal for individuals who are Data Engineers It is particularly useful for Data Engineers.

Enroll now: dbt-Beginner to Pro

Summary

Title: dbt-Beginner to Pro

Price: $44.99

Average Rating: 4.15

Number of Lectures: 38

Number of Published Lectures: 38

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $44.99

Quality Status: approved

Status: Live

What You Will Learn

Core features of dbt
Define ETL pipeline using dbt
dbt API
dbt test
dbt macro, snapshots
dbt hooks
Other advance features of dbt

Who Should Attend

Data Engineers

Target Audiences

Data Engineers

Thank you so much for joining this course. I really appreciate your inquisitiveness to learn this great tool dbt. dbt is becoming very popular among data engineers and organizations because of its simplicity and yet most powerful features of data transformations.

This course is intended for developers, managers, architects to learn about dbt capabilities, features in ordre to implement data pipelines using dbt. This course covers almost all features of dbt using dbt cloud and CLI. Here I have tried to implement an end-to-end real life data engineering pipeline using various features of dbt so that you can connect every dots and understand the need of applying each feature practically instead of only theoretical knowledge.

I profoundly believe this course will help you in getting confidence in using dbt in projects and also clear any interviews. Thank you.

dbt-labs is constantly doing more R&D and upgrading their product. So as and when I come to know anbout any new feature launched in dbt, I shall update this course with latest knowledge so that you can be also updated.

Should you have any questions, clarifications regarding anything in the course, please don’t hesitate to reach me through Udemy channels. I shall try to respond to question in a timely manner.

Thank you once again. Happy learning.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is dbt

Lecture 3: dbt Versions

Lecture 4: dbt cloud Editions

Chapter 2: Setting up dbt cloud

Lecture 1: dbt Registartion

Lecture 2: dbt project Setup

Lecture 3: dbt Project folder structures

Lecture 4: dbt Environment Setup

Chapter 3: dbt Model Creation

Lecture 1: Overview of Data Flow Architecture

Lecture 2: Create first dbt Model

Lecture 3: Alter dbt Model

Lecture 4: Add a tag in dbt model

Lecture 5: dbt join mdel and lineage diagram

Lecture 6: dbt lineage and dependency

Chapter 4: dbt Snapshot

Lecture 1: What is dbt Snapshot

Lecture 2: dbt timestamp Snaphot

Lecture 3: dbt timestamp Snaphot – Part 2

Lecture 4: dbt check_cols snapshot

Chapter 5: dbt Macro

Lecture 1: What is dbt macro

Lecture 2: Create a macro

Lecture 3: Invoke a macro

Chapter 6: Prehook and Posthook

Lecture 1: Invoke prehook and posthook

Chapter 7: Environment variables

Lecture 1: What is environment variable

Lecture 2: Use environment variable

Chapter 8: dbt Job Execution

Lecture 1: dbt Job Create

Lecture 2: dbt Job Execute

Lecture 3: dbt Run Results Artifacts

Chapter 9: dbt API

Lecture 1: Introduction to dbt API

Lecture 2: Invoking dbt API

Chapter 10: dbt Additional features

Lecture 1: dbt package

Lecture 2: dbt seed

Lecture 3: dbt Incremental Model

Lecture 4: dbt Git Integration

Chapter 11: dbt Test

Lecture 1: Using dbt test

Chapter 12: dbt Command Line

Lecture 1: dbt CLI Installation and Configuration

Chapter 13: Bonus Lectures

Lecture 1: dbt CLI with Redshift

Lecture 2: dbt Latest Updates

Chapter 14: Conclusion

Lecture 1: Thank you

Instructors

Asanko Basak
Data Engineer and Data Architect

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 3 votes
4 stars: 11 votes
5 stars: 7 votes

Frequently Asked Questions

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