Microsoft Azure Data Fundamentals DP 900 Exam Prep Specialization

Great Offer 50% Discount On various Azure Certifications Listed below If interested email me at [email protected]
DP-900: Microsoft Azure Data Fundamentals
AI-102: Designing and Implementing a Microsoft Azure AI Solution
AZ-204: Developing Solutions for Microsoft Azure
AZ-220: Microsoft Azure IoT Developer
AZ-400: Designing and Implementing Microsoft DevOps Solutions
DP-420: Designing and Implementing Cloud Native Applications Using Microsoft Azure CosmosDB
MS-600: Building Applications and Solutions
PL-100: Microsoft Power Platform App Maker
PL-200: Microsoft Power Platform Functional Consultant
PL-300: Microsoft Power BI Data Analyst
SC-200: Microsoft Security Operations Analyst
SC-300: Microsoft Identity and Access Administrator
AZ-900: Microsoft Azure Fundamentals
AI-900: Microsoft Azure AI Fundamentals
Pl-900: Microsoft Azure Power Platform Fundamentals
SC-900: Microsoft Security & Compliance Fundamentals
Limited Time Offer

Don't Forget To Subscribe, Like & Share
------------Timestamp----------------
Week 1
00:00:00 Introduction
00:01:00 Job Roles In The World of Data
00:06:06 Azure AI Fundamentals certification
00:08:19 Microsoft Expert Interview
00:13:02 Lesson Introduction
00:14:38 Identify The Need For Data Solution
00:25:27 Identify Types of Data & Data Storage
00:34:51 Describe the difference between batch & streaming data
00:39:48 Lesson summary

00:40:17 Lesson introduction
00:41:03 Explore job roles in the world of data
00:43:53 Review tasks and tools for database administration
00:47:46 Review tasks and tools for data engineering
00:50:43 Review tasks and tools for data visualization and reporting
00:53:46 Lesson summary
00:54:07 Introduction to Azure
00:55:38 The benefits of cloud computing
00:57:25 What is Azure
01:01:52 Case study introduction
01:03:48 The benefits of cloud computing
01:09:16 Cloud service models
01:10:45 Types of cloud service models
01:11:43 What are public, private, & hybrid clouds

Week 2
01:12:59 Lesson Introduction
01:14:49 The characteristics of relational data
01:19:57 Explore relational data structures
01:25:21 Choose the right platform for a relational workload
01:33:35 Lesson summary
01:34:07 Lesson Introduction
01:35:55 Explore the characteristics of non-relational Data
01:44:22 Explore non-relational data structures
01:49:40 Choose the right platform for a non-relational workload
02:00:56 Lesson summary
02:01:17 Lesson introduction
02:02:44 Data ingestion and processing
02:11:03 Data visualization
02:17:01 Data analytics
02:21:00 Weekly summary

Week 1
02:21:17 Welcome to the course
02:22:24 Lesson introduction
02:25:09 Relational data services in Microsoft Azure
02:32:33 SQL Server on Microsoft Azure virtual machines
02:36:35 Azure SQL Database
02:43:21 Azure SQL Database Managed Instance
02:48:21 PostgreSQL, MariaDB, and MySQL

Week 2
02:56:52 Lesson introduction
02:58:13 Provisioning relational data services
03:02:44 Provisioning PostgreSQL & MySQL
03:07:40 Configuring Relational Data services
03:15:48 Configuring Azure for SQL Database, PostgreSQL & MySQL

03:24:52 Lesson introduction
03:26:05 Introduction to SQL
03:34:42 Query relational data
03:37:30
Week 1
03:38:10 Introduction to non-relational Data in Azure
03:39:12 Lesson introduction
03:40:53 Explore Azure Table storage
03:49:42 Explore Azure Blob storage
03:55:35 Explore Azure File storage
04:00:18 Explore Azure Cosmos DB
04:10:07
Week 2
04:10:30 Lesson introduction
04:12:07 Describe provisioning non-relational data services
04:15:56 Use Azure CLI or Azure PowerShell to provision Azure Cosmos DB
04:17:56 Use Azure CLI or Azure PowerShell to create a database and a container
04:21:05 Provision other non-relational data service
04:28:24 How to provision Data Lake storage in a storage account
04:31:44 Describe configuring non-relational data services
04:40:22 Configure Azure Cosmos DB, and Azure Storage
04:47:30
Week 3
04:47:58 Lesson introduction
04:49:23 Manage Azure Cosmos DB
04:57:28 Query Azure Cosmos DB
05:05:35 Manage Azure Blob storage
05:16:06 Manage Azure File storage
05:22:21
Week 1
05:22:56 Introduction to Modern Data Warehouse Analytics in Azure
Components of a Modern Data Warehouse
05:24:01 Lesson introduction
05:25:49 Describe modern data warehousing
05:28:32 Explore Azure data ingestion components for modern data warehousing
05:33:48 Explore Azure data analytical components for modern data warehousing
05:43:08 Lesson introduction
05:44:02 Ingest data using Azure Data Factory
05:50:51 Describe common practices for data ingestion
05:54:47 Lesson introduction
05:56:19 Describe data storage and processing with Azure
06:05:14 What are Azure Data Lake and Azure Data Factory
06:12:32 Explore Azure Synapse Analytics pools
06:19:47 Explore Azure Synapse Analytics components
06:25:41
Week 2
Get Started Building with Power BI
06:26:36 Introduction to Power BI
06:30:19 Use Power BI
06:30:56 Building blocks of Power BI
06:36:13 Tour and use the Power BI
06:39:36