Fivetran Bootcamp : Zero to Mastery 2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 8.94 GB | Duration: 14h 5m
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 8.94 GB | Duration: 14h 5m
The Best Fivetran course covering right from Basic to Advance level in step by step manner.
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
No Programming Experience Required. If you know ETL Concepts it will be helpful
Description
RequirementsBasic understanding about ETL and Basic SQL will be useful, but not necessary.I will take you through everything necessary to learn this course.DescriptionWelcome 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 FivetranTopics Covered in the Course:What is a data pipelineWhat is ETLChallenges in the traditional ETLwhat is FivetranCreate A Free AccountFivetran plansFivetran types of destinationsTypes of Accounts and Create Managed destinationCreate Snowflake Free Trial AccountCreate Redshift Clusterset up Redshift destinationset up snowflake destinationFivetran and DBT set upwhat is TransformationFivetran Data TransformationsFivetran AcrhitectureFivetran: Account Management OverviewFivetran 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 ProfessionalsUniversity students looking for a career in Data EngineeringIT developers working on other disciplines trying to move to Data EngineeringData Engineers/ Data Warehouse Developers currently working on on-premises technologies, or other cloud platforms such as AWS or GCP who want to learn Azure TechnologiesData Architects looking to gain an understanding about cloud based ETL toolData Scientists who want to extend their knowledge into data engineering
Who this course is for:
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 Scientists who want to extend their knowledge into data engineering, Students looking for a career in Data Engineering