
Explore a hands-on DP-900 Azure data fundamentals course with simulations you can run in a web browser and a lab setup, designed to help you pass the exam.
Build a solid foundation by exploring on-premises Active Directory and domain services, RAR, DMZ, and virtualization, then map Microsoft 365, Azure, IaaS, PaaS, and SaaS.
Explore the foundations of Active Directory domains, domain controllers, and centralization through DNS, Kerberos, NTLM, and LDAP. Understand replication, GPOs, and the move from on-prem to cloud in Microsoft administration.
Explore the foundations of secure access and virtualization, from Active Directory and LDAP with Kerberos to RAS, VPN, DMZ and perimeter networks, and virtualization with Hyper-V and VMware.
Explore how cloud services evolved from hosting virtual machines to IaaS, PaaS, and SaaS, and how Azure and Microsoft 365 use directory services like Azure AD and Intro ID.
Navigate the dynamic Microsoft cloud landscape by embracing agility as changes in Azure and Microsoft 365 appear weekly, with menus, buttons, and naming shifting.
Discover how Microsoft renames portals and identities, from Azure Active Directory to IntraID, and access updated links at portals.examlabpractice.com and admin.microsoft.com.
John Christopher invites questions and demonstrates searching of Microsoft docs for topics like Microsoft 365 dynamic query based groups. He directs learners to examlabpractice.com and Udemy for updates and exams.
Clarifies why exam objectives aren’t always in learning order and shows how arranging foundational concepts before advanced ones improves understanding in the dp-900 azure data fundamentals course.
Watch this to learn how assignments work in the course. Use open link in new tab to access simulations, complete them, and note that assignment checks don't affect course completion; videos matter for the certificate.
Learn how to create a free Azure account, start free, claim $200 credit for 30 days, and explore free services and virtual machines in portal.azure.com.
Convert your Azure account from a personal to a business name using Microsoft Entra ID, sign in with the new user principal name, and resolve sign-in and password reset steps.
Activate a Microsoft Entra ID P2 license and explore free trial options in the admin portal and marketplace. Understand regional availability and how to proceed if a trial isn't accessible.
Explore structured data as organized, schema-defined information stored in tables or CSVs. Learn how predefined schemas, CSV formats, and SQL enable easy querying and precise, error-reduced data management.
Explore semi-structured data in the Azure data fundamentals course, with a flexible schema, where tagged, self-describing formats like XML, JSON, and YAML support hierarchical, metadata-driven data from diverse sources.
Unstructured data lacks a predefined model, spanning text, images, videos, and audio. It requires flexible storage and access to manage volume, variety, and complexity.
Explore common data file formats, including csv, xml, json, yaml, parquet, avro, and orc, and understand their structures, storage patterns, and use cases for efficient data processing.
Learn how relational databases store data in tables with rows and columns, linked by relationships, using SQL, DDL and DML, with ACID integrity and transaction logs.
Create an Azure SQL database using the platform option, with resource group, database name, and server; configure authentication, basic tier, local redundancy, networking, and add the AdventureWorks sample.
Install the free SQL Server Management Studio (SSMS) to connect to a SQL Server and manage your SQL database on Windows.
Learn to connect to a SQL database with SSMS, including selecting database engine, using the server name and SQL Server authentication credentials, then verify sample data in the LP database.
Explore non-relational NoSQL databases as a data storage option, covering document, columnar, key-value, graph, time-series, and object stores, with Cosmo, Azure's NoSQL database, offering fast, scalable, SQL-compatible querying.
Create an Azure Cosmos DB for NoSQL in portal.azure.com. Configure resource group, account name, location, and capacity mode, with the free tier of 1000 request units and 25 GB storage.
Connect to an Azure Cosmos database by signing in, select your subscription and database, then create a sample container and explore the sample data.
Learn to redo simulations after completing an assignment by navigating to summary, returning to the assignment, opening instructions, and accessing the simulation link anytime.
Explore the acid properties—atomicity, consistency, isolation, durability—and how high throughput, low latency, concurrency control, and real-time processing ensure scalable, durable transactional workloads with recovery mechanisms and transaction logs.
Explore analytical workloads by examining databases, tables, normalization, and data transformation, then visualize insights with Power BI and scale with Azure Synapse Analytics and data lakes.
Identify the database administrator's roles, including design and implementation, maintenance, security management, performance optimization, backup and recovery, and stakeholder collaboration. Explore cloud-based options such as Azure SQL or Cosmos DB.
Explore how a data analyst understands relational and non-relational data, analyzes patterns, and builds visualizations and analytical models using Azure Synapse and Power BI with governance and security.
learn how to grant permissions for a data analyst from within the database, bypassing the resource group IAM blade, so team members can read data and perform analysis.
Explore the features of relational data through a normalized schema with customers, products, orders, and line items, using primary keys and foreign keys to ensure data integrity and efficient querying.
Normalizing data from unnormalized spreadsheets to a four-table database (customers, products, orders, line items) with primary and foreign keys, enabling queries while ensuring referential integrity and reducing redundancy.
Set up an Azure virtual machine with SQL Server on Windows Server 2022 to host databases and gain full control over the operating system, including management using SSMS.
Learn core SQL concepts on a Microsoft SQL Server, including select, where, order by, insert, delete, update, and creating databases and tables using SQL Server Management Studio.
Explore common database objects like views, stored procedures, and indexes, and learn how to create and use them to query data efficiently in SQL.
Explore the Azure SQL family, comparing Azure SQL Database, SQL Managed Instance, and SQL Server on VMs, highlighting differences in management, scalability, maintenance, and use cases.
Explore Azure database services for open source systems, including MySQL, MariaDB, and PostgreSQL, as a platform as a service with automatic backups, scaling, and compatibility for relational and non-relational data.
Explore storage accounts as the core for blobs, file shares, queues, tables, and disks in Azure, with standard general-purpose version two as the common option.
Create an Azure storage account in the portal, selecting East US and standard v2 with appropriate redundancy, then configure security, networking, and tiered storage options from hot to archive.
Secure an Azure storage account by using IAM/RBAC access control, network restrictions and private endpoints, SAS tokens, and encryption with Azure Key Vault or customer managed keys.
Learn how to use Azure blob storage to store unstructured data in a storage account, organize with containers, manage access levels, and serve large files over http rest.
Learn how to use Azure file shares as a file server, map drives with smb, manage tiers, and connect via vpn or expressroute while noting port 445 is blocked.
Explore Azure table storage as a schema-free NoSQL data store in a storage account, using partition and row keys to organize entities.
Explore real-world use cases for Azure Cosmos DB, including global applications, real-time analytics, ecommerce catalogs, gaming, IoT, mobile and web apps, financial services, and healthcare.
Explore Azure Cosmos DB APIs for NoSQL and link up with technologies using SQL API, Postgres, MongoDB, Cassandra, Table, and Gremlin graph APIs, delivering high availability and low latency.
Delete the existing Cosmos DB by removing its resource group in the Azure portal, then confirm deletion to prepare for the next video.
Create an Azure Cosmos DB for NoSQL in the portal, configure resource group and account name, choose east us and local redundant backup, then review and create the database.
Add data to Azure Cosmos DB for NoSQL, create a retail database and inventory container, set category as the partition key, and run SQL-like queries to view item sizes.
Delete all resource groups in Azure portal to reset the lab environment, remove unnecessary resources, and avoid using Azure credit while preparing for the next section.
We really hope you'll agree, this training is way more than the average course on Udemy!
Have access to the following:
Training from an instructor of over 25 years who has trained thousands of people and also a Microsoft Certified Trainer
Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material
Instructor led hands on and simulations to practice that can be followed even if you have little to no experience
TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:
Introduction
Welcome to the course
Understanding the Microsoft Environment
Having a Solid Foundation of Active Directory Domains
Having a Solid Foundation of RAS, DMZ, and Virtualization
Having a Solid Foundation of the Microsoft Cloud Services
Order of concepts covered in the course
Setting up for hands on
IMPORTANT Using Assignments in the course
Creating a free Azure Account
Activating Entra ID P2 license
Describe ways to represent data
Features of structured data
Features of semi-structured
Features of unstructured data
Identify options for data storage
Understanding formats for data files
Relational databases as a type of data storage
Creating a relational database in Azure using Microsoft SQL
Installing SQL Server Management Studio (SSMS) for connecting to SQL
Connecting to a SQL database with SSMS
Non-relational databases as a type of data storage
Creating a non-relational database in Azure using Microsoft Cosmos
Connecting to a Microsoft Cosmos database
Describe common data workloads
Features of transactional workloads
Features of analytical workloads
Identify roles and responsibilities for data workloads
Responsibilities for database administrators
Permissions in Azure regarding a database administrator
Responsibilities for data engineers
Permissions in Azure regarding a data engineers
Responsibilities for data analysts
Permissions regarding a data analysts
Describe relational concepts
Features of relational data
Normalization and why it is used
Creating an Azure VM with Microsoft SQL server
Using common structured query language (SQL) statements
A look at common database objects
Describe relational Azure data services
Azure SQL Family: Azure SQL Database, SQL Managed Instance, SQL Server on VMs
Azure database services for open-source database systems
Describe capabilities of Azure storage
Understanding the capabilities of Azure storage accounts
Creating a storage account to explore Blob, File, & Table storage capabilities
Securing a Azure storage account
Utilizing Azure Blob storage
Utilizing Azure File storage
Utilizing Azure Table storage
Describe capabilities and features of Azure Cosmos DB
Use cases for Azure Cosmos DB
Understanding the Azure Cosmos DB APIs
Deleting the existing Cosmos DB before moving on
Creating a new Cosmos DB account for NoSQL
Adding and querying data within a Cosmos DB for NoSQL
Cleaning up our lab environment to this point
Describe common elements of large-scale analytics
Considerations for data ingestion and processing
Understanding Azure Data Lake storage
Creating an Azure Data Lake storage account
Understanding Azure Databricks
Visualizing Azure Synapse Analytics
Registering Azure Synapse as a resource provider in Azure
Setting up a SQL DB and server for use with Azure Synapse Analytics
Creating a Azure Synapse workspace and Data Lake Storage account
Concepts of SQL Pool usage with Azure Synapse Analytics
Purposes of Azure HDInsight
Understanding Azure Data Factory
Setting up an Azure Data Factory resources
Using Azure Data Factory to copy data into Azure Synapse Analytics <AZ-305>
Describe consideration for real-time data analytics
Understanding the difference between batch and streaming data
Concepts of Azure Stream Analytics
Creating an Azure Stream Analytics job for real-time analytics
Benefits of using Apache Spark
Cleaning up the existing resources before moving on
Describe data visualization in Microsoft Power BI
Capabilities of Power BI
Downloading and installing Power BI Desktop
Creating a database with data for testing Power B
Connecting Power BI to a SQL database and performing an import
Features of data models in Power BI
Using the appropriate visualizations for data