Quick Introduction guide to DP-900 Azure Data Fundamentals

DP-900 Quick Concepts Review
Free tutorial
Rating: 4.3 out of 5 (101 ratings)
2,704 students
44min of on-demand video
English
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DP-900 data fundamental concepts
Understand relational data concepts
Understand non-relational data concepts
Understand data analytics concepts
Describe different provisioning methods

Requirements

  • No background is required but data knowledge would be helpful

Description

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

Who this course is for:

  • Data enthusiast looking to increased their data knowledge

Instructor

SQL/BI/Data Warehouse Developer
Melissa Castilla
  • 4.1 Instructor Rating
  • 268 Reviews
  • 7,443 Students
  • 3 Courses

Hello my names is Melissa, I’m a Data Engineer skilled in Database Design, Business Intelligence Development & Data Analysis with several years of experience in IT. My main expertise revolves around Microsoft SQL server and Microsoft Integration Service ETL tool to design and develop databases/data warehouse/reporting/datamarts/dashboards for various industries like Banking, Insurance, Healthcare etc.

After all my stumbling in the data world I’m here in udemy to help you minize yours, see you inside.


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