What you'll learn:
- You will learn how to build ETL Pipeleine
- You will learn how to Add managed destinations within the Fivetran
- You will learn how to Connect Snowflake and Redshift Data warehouse with the Fivetran
- You will learn how to Add Various Connectors within the Fivetran
Requirements
Basic understanding about ETL and Basic SQL will be useful, but not necessary.
I will take you through everything necessary to learn this course.
Description
Welcome to Fivetran Bootcamp! Fivetran helps you centralize data from disparate sources which you can manage directly from your browser. In this course you will learn to extract your data and load it into your data destination. This course will help you in preparing and mastering your Fivetran ETL tool concepts.
Highlights of the Course:
Designed to keep only précised information no beating around the bush.
Real-time implementation, learn with Practical.
It will help you to showcase your experience in interviews and discussions.
Involve complex architecture solution which is aligned with industry best practices.
Added the Best Practices to be used with Fivetran
Topics Covered in the Course:
What is a data pipeline
What is ETL
Challenges in the traditional ETL
what is Fivetran
Create A Free Account
Fivetran plans
Fivetran types of destinations
Types of Accounts and Create Managed destination
Create Snowflake Free Trial Account
Create Redshift Cluster
set up Redshift destination
set up snowflake destination
Fivetran and DBT set up
what is Transformation
Fivetran Data Transformations
Fivetran Acrhitecture
Fivetran: Account Management Overview
Fivetran helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination. If you already have an account, setup takes anywhere from 5 minutes to 2 hours (depending on the complexity of your internal firewalls and integration setups). The first step is to connect a data warehouse. After that, you'll be taken to the Dashboard, where you can add new connectors. Adding a new connector will lead you to the setup page with detailed notes on the screen and verification for the configuration. Once your first connector is created, it will begin syncing immediately and once that is done you can start using that data in your data warehouse. You can add as many connectors as needed to complete your initial setup.
Who this course is for:
Data engineering Professionals
University students looking for a career in Data Engineering
IT developers working on other disciplines trying to move to Data Engineering
Data Engineers/ Data Warehouse Developers currently working on on-premises technologies, or other cloud platforms such as AWS or GCP who want to learn Azure Technologies
Data Architects looking to gain an understanding about cloud based ETL tool
Data Scientists who want to extend their knowledge into data engineering
