Course Outline
Introduction
Overview of On-Premise and Cloud-Based Data Storage and Analysis Solutions
Understanding Big Data
- Big Data criteria
- Big Data structure
- Working with Big Data
Cloud Solutions
- Azure SQL Database
- Azure Data Warehouse
- Azure Data Factory
- Azure Databricks
- Power BI
Working with Databases
- Data warehouse design
- Dimensional modelling
- Implementation and deployment
Data Models - A Comparison
- SSAS Tabular Data Models
- SSAS Multidimension Models
- Power BI Models
Data Cleansing
- Strategies and tools
Report Models
- Building Power BI tabular models
- Understanding DAX
PowerBI Reports
- Designing Power BI reports
Power BI Architecture
- Workspace generation
- Licensing
- Permissions
Administration
- Administering Azure solutions
- Administering the Power BI Service
Security
- Maintaining a secure Azure architecture
- Azure SQL Database/Data Warehouse, Data Factory and Data Bricks
- Data Masking and Privacy Issues
Summary and Conclusion
Requirements
- Experience with elementary data analysis (e.g., Excel).
- A general understanding of cloud concepts (e.g., AWS).
Audience
- Database engineers
- Developers
Testimonials (5)
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
Amount of Information, Exercises
Lukasz Kowalski - Sii Sp. z o.o.
Course - AWS IoT Core
Machine Translated
The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.
Rafal Kucharski - The Software House sp. z o.o.
Course - Serverless Framework for Developers
IOT applications
Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
Later the balance between theory and practice was much better. But the beginnings were terrible. The way of expressing (language) is very calm, understandable, in a human way.
Lukasz Derkowski - NetworkedAssets Sp. z o.o.
Course - AWS CloudFormation
Machine Translated