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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