
Dp-900: Azure Data Fundamentals Certification Preparation
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
DP-900 Certification – FULL Coverage of the LATEST Syllabus with Practical Labs with Beginner-Friendly Content!
What you’ll learn
Understand the Importance and Value of Data
Differentiate Between Relational and Non-Relational Databases
Explore Azure Relational Database Services
Apply SQL Fundamentals for Data Querying
Optimize Relational Databases with Indexes, Views, and Stored Procedures
Leverage Azure Services for Open-Source Databases
Implement and Query Non-Relational Databases in Azure
Utilize Azure Storage Services for Data Management
Differentiate OLTP and OLAP Systems
Understand Data Warehousing Architecture
Explore Data Integration Solutions
Explore Azure Synapse Analytics, Delta Lake, Data Lakehouse, Azure Stream Analytics and Microsoft Fabric to analyze data.
Visualize Data Insights with Power BI
Requirements
No prerequisites needed. You will learn everything you need to know.
Description
Overview
Section 1: Introduction
Lecture 1 Course Introduction of DP-900
Section 2: Understanding Value, Formats, and Storage of Data
Lecture 2 The Importance of Data in Modern Business
Lecture 3 Data Formats
Lecture 4 Data Storage
Section 3: Databases
Lecture 5 Introduction to Databases
Section 4: Relational Database Services in Cloud – Azure SQL Services
Lecture 6 Cloud Service Models (IaaS and PaaS)
Lecture 7 Azure SQL Services
Lecture 8 Azure Virtual Machines (VMs)
Lecture 9 Azure SQL Managed Instance
Lecture 10 Azure SQL Database
Lecture 11 Azure Free Subscription
Lecture 12 Create Azure Free Account
Lecture 13 Lab – Create Azure SQL Database in Azure cloud
Lecture 14 Overview of SQL
Section 5: SQL Fundamentals with Azure SQL Database
Lecture 15 Lab – SELECT Statement
Lecture 16 Lab – WHERE Statement
Lecture 17 Lab – ORDER BY Statement
Lecture 18 Lab – DISTINCT Statement
Lecture 19 Lab – CASE Statement
Lecture 20 Lab – Aggregations
Lecture 21 Lab – GROUP BY Statement
Lecture 22 Lab – HAVING Statement
Lecture 23 Lab – JOINS in SQL
Lecture 24 Lab – Sub Queries
Lecture 26 Lab – Create Table using an Existing Table
Lecture 27 Lab – CREATE TABLE and INSERT INTO
Lecture 28 Lab – UPDATE Statement
Section 6: The Role of Indexes, Views and Stored Procedures of a relational database
Lecture 29 What is an SQL INDEX?
Lecture 30 Lab – Understand and Create Clustered Index
Lecture 31 Lab – Understand and Create Non-Clustered index
Lecture 32 What is a SQL View?
Lecture 33 Create a SQL View
Lecture 34 What is a SQL Stored Procedure?
Lecture 35 Lab – Create a SQL Stored Procedure
Section 7: Azure Services for Open-Source Databases
Lecture 0 What are MySQL, MariaDB, and PostgreSQL?
Lecture 36 Azure Database for MySQL
Lecture 37 Azure Database for MariaDB
Lecture 38 Azure Database for PostgreSQL
Lecture 39 Connecting and Quering MySQL and PostgreSQL Databases of Azure
Lecture 40 Lab Exercise – Provision Azure Database for MySQL
Lecture 41 Lab Exercise – Query Azure Database for MySQL
Lecture 42 What’s happening to Azure Database for MariaDB?
Lecture 43 Lab Exercise – Provision Azure Database for PostgreSQL
Lecture 44 Lab Exercise – Query Azure database for PostgreSQL
Section 8: Non-relational Databases
Lecture 45 Non-relational Databases /NoSQL Databases
Lecture 46 Introduction to Azure Cosmos DB
Lecture 47 Introduction to Azure Cosmos DB APIs
Section 9: Azure Storage Services
Lecture 48 Azure File Stores
Lecture 49 Azure Blob Storage
Lecture 50 Azure Data Lake Gen 2
Lecture 51 Access Control Lists of ADLS Gen 2
Lecture 52 Azure Data Lake Gen 2 Access tiers
Lecture 53 Azure Files
Lecture 54 Azure Tables
Section 10: OLTP and OLAP Systems
Lecture 55 OLTP vs OLAP
Lecture 56 OLTP Systems
Lecture 57 OLAP Systems
Section 11: Data Warehousing Architecture
Lecture 58 Primary key Vs Foreign key
Lecture 59 Dimension Tables and Fact Tables
Lecture 60 Data Warehousing Schema Designs
Lecture 61 Data Loading Processes in Data Warehousing
Lecture 62 Batch Processing and Stream Processing
Lecture 63 Full Loads in Data Warehousing
Lecture 64 Incremental Loads in Data Warehousing
Lecture 65 Full Load vs. Incremental Load
Section 12: Azure Data Factory
Lecture 66 Introduction to Azure Data Factory
Lecture 67 Lab – Create Azure Data Factory Account
Lecture 68 Introduction to Triggers
Lecture 69 Deepen Your Knowledge of Azure Data Factory
Section 13: Analytical Data Stores in Azure
Lecture 70 Azure Synapse Analytics
Lecture 71 Azure Synapse Analytics Components
Lecture 72 Delta Lake
Lecture 73 Data Lakehouse
Lecture 74 Azure Stream Analytics
Lecture 75 Deepen Your Knowledge
Lecture 76 Microsoft Fabric
Section 14: Micrososft Power BI
Lecture 77 What is Microsoft Power BI?
Lecture 78 Analytical modeling in Microsoft Power BI
Lecture 79 Data Visualization with Power BI
Section 15: End of Course
Lecture 80 Congratulations!
Azure DP 900 Exam Seekers,Azure DP-203 Exam Seekers (DP-900 is a Prerequisite for DP-203),Junior Data Engineers,Junior Database Administrators,Junior Data Analysts,Cloud Solution Architects (Entry-Level),Business Analysts,College/University Students,Recent Graduates

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