Quick Introduction guide to DP-900 Azure Data Fundamentals
Quick Introduction guide to DP-900 Azure Data Fundamentals, available at Free, has an average rating of 4.05, with 15 lectures, based on 145 reviews, and has 3544 subscribers.
You will learn about DP-900 data fundamental concepts Understand relational data concepts Understand non-relational data concepts Understand data analytics concepts Describe different provisioning methods This course is ideal for individuals who are Data enthusiast looking to increased their data knowledge It is particularly useful for Data enthusiast looking to increased their data knowledge.
Enroll now: Quick Introduction guide to DP-900 Azure Data Fundamentals
Summary
Title: Quick Introduction guide to DP-900 Azure Data Fundamentals
Price: Free
Average Rating: 4.05
Number of Lectures: 15
Number of Published Lectures: 15
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- DP-900 data fundamental concepts
- Understand relational data concepts
- Understand non-relational data concepts
- Understand data analytics concepts
- Describe different provisioning methods
Who Should Attend
- Data enthusiast looking to increased their data knowledge
Target Audiences
- Data enthusiast looking to increased their data knowledge
Microsoft Azure is the fastest-growing cloud platform. Companies all over the world are looking for data engineers capable of dealing with massive quantities of data to extract insights and present them in a understandable and interactive way.
Topics covered:
Describe core data concepts (15-20%)
Describe types of core data workloads
· describe batch data
· describe streaming data
· describe the difference between batch and streaming data
· describe the characteristics of relational data
Describe how to work with relational data on Azure (25-30%)
Describe relational Azure data services
· describe and compare PaaS, IaaS, and SaaS solutions
· describe Azure SQL database services including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machine
· describe Azure Synapse Analytics
· describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL
Describe how to work with non-relational data on Azure (25-30%)
Describe non-relational data offerings on Azure
· identify Azure data services for non-relational workloads
· describe Azure Cosmos DB APIs
· describe Azure Table storage
· describe Azure Blob storage
· describe Azure File storage
Describe an analytics workload on Azure (25-30%)
Describe analytics workloads
· describe transactional workloads
· describe the difference between a transactional and an analytics workload
· describe the difference between batch and real time
· describe data warehousing workloads
· determine when a data warehouse solution is needed
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome
Chapter 2: Data Concepts
Lecture 1: Data Types
Lecture 2: Data Workloads
Lecture 3: Batch VS Streaming
Lecture 4: Data Roles
Lecture 5: Data Provisioning
Chapter 3: Relational Data
Lecture 1: Relational Structure
Lecture 2: Relational Azure Data Services
Lecture 3: SQL
Chapter 4: Non-Relational Data
Lecture 1: Non-Relational Types
Lecture 2: Non-Relational Azure Data Storage
Chapter 5: Data Analytics
Lecture 1: Analytics Type
Lecture 2: Azure Data Processing
Lecture 3: Data Visualization Tool
Chapter 6: Final Word
Lecture 1: Thank You
Instructors
-
Melissa Castilla
SQL/BI/Data Warehouse Developer
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 10 votes
- 3 stars: 33 votes
- 4 stars: 45 votes
- 5 stars: 52 votes
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