DP-900 Microsoft Azure Data Fundamentals, Part 1 of 4: Core Data Concepts
with expert Maruti Makwana
Watch trailer
Course at a glance
Included in these subscriptions:
- Dev & IT Pro Video
- Dev & IT Pro Power Pack
| Release date | 1/4/2022 | |
| Level | Beginner | |
| Runtime | 0h 26m | |
| Closed captioning | N/A | |
| Transcript | N/A | |
| eBooks / courseware | N/A | |
| Hands-on labs | N/A | |
| Sample code | N/A | |
| Exams | Included |
Course description
DP-900 Microsoft Azure Data Fundamentals exam is for candidates beginning to work with data in the cloud. This course covers Describe core data concepts accounting for approximately (15-20%) of the exam.
Prerequisites
Candidates for this exam should have at least six months of experience with the Azure Cloud in any role, including technical, managerial, sales, purchasing, or financial. You should have a basic understanding of IT services and their association with the cloud platform.
Meet the expert
Maruti is a Microsoft Certified Corporate Trainer with over 19,000 hours of experience corporate training for companies such as: Deloitte, Morgan Stanley, LTI Infotech, Unisys, Shell, Accenture and many more. He focuses on practical implementation and hands-on practice as the best way to understand technical training.
Course outline
Module 1
DP-900 Overview (04:45)
- Introduction (00:08)
- Learning Overview (00:47)
- Module 1 (00:35)
- Module 2 and 3 (00:44)
- Module 4 (00:37)
- Module Test Weighting (00:41)
- Azure Account (01:04)
- Summary (00:08)
Core Data Concepts (08:54)
- Introduction (00:08)
- Explore Data Concepts (00:57)
- Objectives (00:29)
- What is Data (01:21)
- Transactional vs. Analytical stores (01:56)
- Transactional Workloads (00:42)
- Analytical Workloads (00:40)
- Data Processing (02:30)
- Summary (00:08)
Roles and Responsibilities (05:17)
- Introduction (00:08)
- Data Analyst (01:45)
- Database Administrator (01:14)
- Data Engineering (02:01)
- Summary (00:08)
Concepts of Relational Data (07:35)
- Introduction (00:08)
- Tables (01:52)
- Entities (00:40)
- Normalization (01:12)
- Relations (01:07)
- Indexes (02:26)
- Summary (00:08)