Published 4/2024
Created by Ganiyu Yusuf
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 22 Lectures ( 5h 12m ) | Size: 4.35 GB

Master the art of building a data warehouse from the ground up with this comprehensive end to end guide

What you'll learn:
Begin with the basics of data warehousing, understanding its significance, and exploring data modeling concepts to design the logical view of your DW
Get hands-on with Amazon Redshift, learning how to set up, manage, and optimize your data warehouse cluster for performance and cost-efficiency.
Translate your logical model into a robust physical model in Redshift, mastering the art of schema design, table creation, and query optimization.
Explore various data ingestion methods and learn how to transform raw data into insightful, analytical information using ETL and ELT processes.
Implement the cutting-edge medallion architecture in your data warehouse to streamline data processing and enhance analytical capabilities.

Requirements:
Basic Understanding of AWS Services
Basic SQL Technical Skills
Basic Understanding of Datawarehouse and Data Modelling

Description:
This is the ultimate course for aspiring and experienced data engineers alike. This comprehensive course is meticulously designed to take you through the entire process of creating a data warehouse, from conceptualization to implementation, using Amazon Redshift and the medallion architecture.This course is designed for data professionals, analysts, and anyone interested in mastering data warehousing, this course will equip you with the skills and knowledge needed to create robust and scalable data warehouses from the ground up.Through hands-on lessons and real-world examples, you'll learn how to:Establish the logical architecture and design of a data warehouse, ensuring a solid foundation for your project.Create and configure a data warehouse in the cloud using Amazon Redshift, leveraging the power and scalability of cloud computing.Implement various data loading strategies to efficiently populate your data warehouse with relevant data from multiple sources.Convert the logical design into a physical implementation, setting up the necessary infrastructure and configurations on AWS.Implement the Medallion Architecture in your Redshift data warehouse, following industry best practices for data modeling and organization.Write comprehensive test cases and implement data quality measures to ensure the integrity and reliability of your data warehouse.Utilize DBT (Data Build Tool) for seamless data transformation, analysis, and documentation, streamlining the entire data warehousing process.This course is suitable for all regardless of your job function; a data analyst, business intelligence professional, or simply someone passionate about data, this course will provide you with the skills and knowledge required to design and build a robust data warehouse from scratch, enabling you to unlock valuable insights and drive data-driven decision-making within your organisation.Enroll now and embark on a journey to become a data warehousing expert with "Designing Data Warehouse From Scratch: End to End Guide".

Who this course is for:
Suitable to everyone interested in Big Data and Data Warehouse Modelling

Homepage
Code:
https://www.udemy.com/course/designing-data-warehouse-from-scratch-end-to-end-guide/


Code:
Code:
https://rapidgator.net/file/57c4770d250fe020599c1eb00bda9ceb
https://rapidgator.net/file/5a450939b417f32811d5f37054e32270
https://rapidgator.net/file/a61342b4c96771cf8440b4afc0c018e1
https://rapidgator.net/file/773ab24fb68df52f889f37c243c5b40c
https://rapidgator.net/file/7ae84b42b05539a39c744765b58c2d72
Code:
https://nitroflare.com/view/FE038D36B0988EE
https://nitroflare.com/view/0590B5E7C72C8F3
https://nitroflare.com/view/3C87AF456F295EC
https://nitroflare.com/view/7D788C679FB4485
https://nitroflare.com/view/0433CF7ED8DDAFB