Course Summary

Data Warehouse is intended help students understand the fundamental concepts and terminologies as well as lifecycle and rules of data warehouse.

Skills Gained

This course teaches you how to:

  • Learn concepts, lifecycle and rules of data warehouse
  • Learn the advantages and disadvantages of data warehouse
  • Design architecture for your data warehouse environment

Pre-Requisite

  • At least one or two years IT experience
  • At least one AWS Associate level certification
  • At least one certification (any vendor)

Schedule

To Be Announced Soon!


Get Started!

$2,200


Instructor:


Mussie Berhane

Professional Experience: Highly technical, detailed oriented and experienced Senior Solution Architect/Designer and Engineer with over 20 years of experience; proficient in designing, deploying, managing and troubleshooting IP based enterprise and cloud solutions: Unified Communications / VoIP, Cyber Security, Cloud, Data Center, Virtualization, Storage, IP Routing and IP Switching, SD-WAN, Data Analytics, Database and Big Data. Currently, Mussie is working as Senior Cloud Security/ Engineer Consultant.

Research & Development: Mussie is actively working to provide tangible solutions to today's complex challenges to the underserved, with focus in Energy, Technology and Knowledge Transfer.


Training/Teaching: Mr. Berhane is passionate about knowledge transfer, teaching and mentoring. Over the past 15 years, Mussie has taught more than 3,000 students in different IT sectors, always adapting and focusing on emerging technologies to meet current and future job market demands.


Education and Certifications:

BS: Computer Information Systems

AWS:

Advance Networking Specialty, Security Specialty, Database Specialty, Big Data Specialty, and all Associate certifications.

Mr. Berhane, also holds other vendor certifications from Cisco, Microsoft, CheckPoint, Silver Peak and others.

Hobbies and Interests: Reading, Traveling, Basketball, Mentoring and Transferring Knowledge and Skills.

Course Curriculum

  Welcome
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  Module 3: Redshift Labs
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  Module 4 Part 1: Sample Data and Query Editor and
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  Module 4 Part 2: Working on Database and Tables using Query Editor
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  Module 5: Loading Data from S3
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  Module 6: Loading Real Time Data
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  Module 8: Remote Access
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  Module 9: Auditing and Monitoring Redshift Cluster
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