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DP-203: Data Engineering on Microsoft Azure + Practice Tests

Pass Microsoft Azure DP-203 Data Engineering Exam in one go

Beginner
4.5 (5,461 Ratings) 23,629 Students enrolled English

What will i learn?

  • Prepare to pass the Microsoft exam DP-203: Data Engineering on Microsoft Azure
  • Azure Storage (Blob Storage) (DP-203 Syllabus)
  • Azure Cosmos DB (DP-203 Syllabus)
  • Azure Data Lake (DP-203 Syllabus)
  • Azure SQL Database (DP-203 Syllabus)
  • Azure SQL Datawarehouse, Synapse (DP-200203 Syllabus)
  • Azure Data Factory (DP-203 Syllabus)
  • Azure Databricks (DP-203 Syllabus)
  • Azure Analytics Services (DP-203 Syllabus)
  • Azure Monitoring Service (DP-203 Syllabus)
Requirements
  • Basic Database Concepts
  • Enthusiasm and determination to clear DP-203 Exam
Curriculum for this course
152 Lessons 22:25:41 Hours
  • Create Azure Free Subscription
    00:06:14
  • Azure Portal Overview
    00:14:45
  • How did Data Engineer Profile Evolve
    00:02:38
  • Data Engineer Role and Responsibility
    00:05:34
  • Data Engineer Technologies
    00:03:48
  • Learning objectives
    00:02:21
  • Troubleshoot Data Partitioning Bottlenecks
    00:06:56
  • Optimize Data Lake Storage
    00:05:39
  • Optimize Stream Analytics
    00:10:23
  • Optimize Azure Synapse Analytics
    00:00:00
  • Manage the Data Lifecycle
    00:13:54
  • Learning objectives
    00:03:04
  • Azure Storage Services Overview
    00:06:03
  • Demo Provision Azure Storage Account
    00:05:13
  • Data Redundancy Options
    00:06:01
  • Azure Blob Storage
    00:06:15
  • Azure Storage Access Tiers
    00:04:52
  • Azure Table Storage
    00:05:05
  • Azure Queue Storage
    00:02:47
  • Azure File Share Storage
    00:05:36
  • Demo Azure File Share Storage
    00:03:51
  • Azure Disk Storage and demo
    00:08:20
  • Cosmos DB: Problem Statement - How Cosmos DB Evolved?
    00:02:38
  • Cosmos DB: Features
    00:11:25
  • Cosmos DB: Multi Model 5 APIs
    00:12:21
  • Cosmos DB: Provision Account
    00:00:00
  • Cosmos DB: Database Containers and Items
    00:04:28
  • Cosmos DB: Throughput and Request Units
    00:09:18
  • Cosmos DB: Horizontal Scaling
    00:02:49
  • Cosmos DB: What is partitioning and partition key
    00:06:10
  • Cosmos DB: Dedicated vs Shared throughput
    00:05:53
  • Cosmos DB: Avoiding hot partition
    00:05:25
  • Cosmos DB: Single partition vs Cross partition
    00:03:33
  • Cosmos DB: Composite Key
    00:03:15
  • Cosmos DB: Partition key best practice
    00:07:49
  • Cosmos DB: Demo - Insert and query data
    00:12:42
  • Cosmos DB: Time to Live
    00:05:48
  • Cosmos DB: Globally Distribution
    00:13:23
  • Cosmos DB: Multi Master
    00:08:39
  • Cosmos DB: Manual vs Automatics Fail-over
    00:07:36
  • Cosmos DB: 5 consistent level
    00:14:16
  • Cosmos DB: CLI
    00:07:02
  • Cosmos DB: Pricing
    00:06:50
  • Cosmos DB: Security
    00:11:34
  • What is Data Lake?
    00:03:55
  • How Data Lake Gen 2 evolved
    00:05:17
  • Azure Blob Storage vs Azure Data Lake
    00:04:38
  • Azure Blob & Data Lake Security options
    00:20:52
  • High Availability vs Disaster Recovery
    00:07:17
  • Azure Storage - HA and DR Options
    00:11:31
  • Cosmos DB - HA and DR Options
    00:17:23
  • Data Types
    00:11:37
  • Data Storage Types
    00:18:17
  • Select Azure Store for application
    00:04:08
  • Azure Data Platform Architecture
    00:05:42
  • RTO and RPO
    00:04:12
  • Scenarios - Designing a solution for CosmosDB vs Data Lake vs Blob Storage
    00:00:00
  • Scenarios - Designing for SQL Database vs Data warehouse
    00:06:11
  • Design Batch Processing Solutions using Data Factory and DataBricks
    00:00:00
  • Data Ingestion Methods
    00:12:56
  • Real Time Processing
    00:11:32
  • Design and Provision Compute Resources
    00:08:51
  • Lambda Architecture
    00:09:45
  • Plan for Secure Endpoints (Public/Private)
    00:07:02
  • Learning objectives
    00:02:33
  • Azure SQL: Why?
    00:02:59
  • Azure Iaas vs Pass Database Offerings
    00:09:23
  • Azure SQL: PaaS Deployment Options
    00:03:50
  • Azure SQL Server Demo: Provision Single Database
    00:15:37
  • Azure SQL Server: Purchasing models and service tiers
    00:13:24
  • Azure Elastic Database
    00:04:16
  • Azure Elastic Database Demo: Provision
    00:14:01
  • Azure SQL Database: Security layers
    00:08:11
  • Scaling Azure Database
    00:11:21
  • Azure SQL Database High Availability and Disaster Recovery options
    00:28:33
  • Azure SQL Database Backup and Restore
    00:19:08
  • Traditional vs Modern Warehouse architecture
    00:14:25
  • What is Synapse Analytics Service
    00:08:46
  • Demo: Create Dedicated SQL Pool
    00:11:44
  • Demo: Connect Dedicated SQL Pool with SSMS
    00:03:41
  • Demo: Create Azure Synapse Analytics Studio Workspace
    00:05:57
  • Demo: Explore Synapse Studio
    00:11:53
  • Demo: Create Dedicated SQL Pool and Spark Pool
    00:08:12
  • Demo: Analyse Data using Dedicated SQL Pool
    00:09:14
  • Demo: Analyse Data using Apache Spark Notebook
    00:11:52
  • Demo: Analyse Data using Serverless SQL Pool
    00:07:53
  • Demo: Data Factory from Synapse Analytics Studio
    00:09:04
  • Demo: Monitor Synapse Studio
    00:07:37
  • Azure Synapse: MPP Architecture
    00:07:11
  • Azure Synapse: Storage and Sharding Patterns
    00:05:30
  • Azure Synapse: Data Distribution and Distributing Keys
    00:06:05
  • Azure Synapse: Data Types and Table Types
    00:05:20
  • Azure Synapse: Partitioning
    00:04:48
  • Azure Synapse: Best Practices for Fact and Dimension tables
    00:02:50
  • Demo: Analyze Data distribution before migration to Azure
    00:12:20
  • Azure Synapse: Different loading methods
    00:02:39
  • Azure Synapse: Loading with SSIS vs PolyBase
    00:03:36
  • Azure Synapse Demo: Loading with Polybase
    00:27:10
  • Scaling Azure Datawarehouse
    00:03:17
  • Azure SQL Datawarehouse Backup and Restore
    00:10:31
  • Azure Database vs Azure Datawarehouse (Synapse Data Pool)
    00:02:34
  • Implement Data Masking
    00:21:21
  • Encrypt data at rest and in motion
    00:25:43
  • What's Next?
    00:01:11
  • Learning objectives
    00:02:46
  • What is Data Factory
    00:04:40
  • Data Factory within Azure Eco system
    00:09:42
  • Provision Data Factory
    00:08:02
  • Data Factory - Components
    00:07:12
  • Data Factory - Pipeline and Activities
    00:13:21
  • Data Factory - Linked service and Datasets
    00:14:30
  • Data Factory - Integration Runtime
    00:19:22
  • Data Factory - Triggers
    00:19:30
  • Demo: Copy Data Activity through wizard
    00:35:02
  • Demo: Copy Data Activity using Author page
    00:09:21
  • Data Factory - User Properties
    00:03:43
  • Data Factory - Parameters
    00:16:42
  • Data Factory - Data Flow Concept
    00:15:20
  • Data Factory - Mapping Data Flow
    00:28:04
  • Data Factory - Wrangling Data Flow
    00:10:58
  • What is Azure Databricks
    00:08:58
  • Demo overview
    00:04:35
  • Demo: Provision Databricks, Clusters and workbook
    00:11:22
  • Demo: Mount Data Lake to Databricks DBFS
    00:12:24
  • Demo: Explore, Analyze, Clean, Transform and Load Data in Databricks
    00:00:00
  • Azure Databricks Clusters
    00:12:56
  • Azure Databricks Other Important Components
    00:09:34
  • Learning objectives
    00:01:23
  • Introducing Azure Stream Analytics (configure input and output)
    00:06:18
  • Introduction to Windowing Functions
    00:02:22
  • Tumbling Window
    00:02:33
  • Hopping Window
    00:02:14
  • Sliding Window
    00:02:22
  • Session Window
    00:06:06
  • Demo: Processing Blob Storage Input
    00:18:43
  • Demo: Processing IOT Hub Input
    00:18:49
  • Learning objectives
    00:02:21
  • Intro to Azure Monitor Service
    00:16:22
  • Demo: Azure Monitor Service
    00:23:00
  • Implementing Blob and Data Lake Storage monitoring
    00:17:25
  • Implement Azure Synapse Analytics monitoring
    00:12:15
  • Implement Cosmos DB monitoring
    00:12:43
  • Course Introduction and Set Expectation
    Preview 00:05:12
  • IMP:Everything You Need To Know About Exam and this Course
    00:03:39
  • How to Use Azure Portal for Absolutely Free
    00:04:50
  • Before You Start...
    00:01:29
  • Delete Resources and Set Budget
    00:06:59
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Course overview

A professional course in Microsoft Azure Data Engineering will help you get through the DP-203 Exam seamlessly. Also, here you will be able to put your already acquired skills and knowledge in SQL DB (Azure), Databricks, and Cosmos DB under evaluation.

 

Moreover, by the end of this course, you will be able to curate, monitor, and configure data systems within the Azure portal. All you have to be is very clear about the basic concepts of the Azure database and be highly determined to clear off the DP-203 Exam in one go.   

 

Why you should learn DP-203 Data Engineering on Microsoft Azure with MyAssignmenthelp.com?

Here is why you should take the Microsoft Azure DP-203 Data Engineering + Practice Tests course with MyAssignmenthelp.com:

  • The course content uploaded is entirely in sync with the latest syllabus of Microsoft DP-203.
  • You will get to cover 100% of the entire exam syllabus.
  • Also, 2 practice test content is available within the course, making your task a lot easier and offering real-life experience.  
  • Demo resources and PPT are made available for your help.
  • You can have full-time access to the course for the rest of your life.
  • The course-specific modules can be accessed from both laptop and mobile.
  • The best part is that you can claim the money back in 30-days if unsatisfied with the course content.
  • Course-end physical certificates are also available, which are industry accredited.

 

Here is a complete list of content that you will learn in this course:

 

  • How to incorporate non-relational data stores
    • Blob storage in the non-relational data store.
    • Cosmos DB
  • How to integrate non-relational data stores
    • SQL Server (Azure)
    • Analytics Service (Azure Synapse)
  • Data security management
    • Data masking
    • Data encryption
  • Development of solutions in batch processing
    • Data factory (Azure)
    • Databricks (Azure)
  • Development of various streaming services in Azure  
  • Data storage monitoring
    • Blob Storage in Azure
    • Data Lake
    • SQL Database
    • Synapse Analytics
    • Cosmos DB
    • Monitoring Service (Azure)
  • Data process monitoring
    • Data Factory
    • Stream Analytics
    • Data Factory
  • Optimisation of Azure Data Solutions
    • Synapse Analytics
    • Data Lake
    • SQL Database
    • Stream Analytics

 

What is the importance of DP-203 Data Engineering on Microsoft Azure in your career?

Here is how a course in DP-203 Data Engineering concept will help you with the needed career growth:

  • The in-course content will help you prepare for the DP-203 exam and kickstart your career hassle-free.
  • If you are already a data engineer handy with Azure-based technicalities, this course will help you resolve unforeseen situations and reduce any potential chances of data loss.
  • Also, you will get first-hand knowledge about various data processing languages like Python, Scala, and SQL.
  • As per recent studies, about 65% of learners have felt more confident with their place in the industry after taking a professional course in DP-203 Data Engineering.
  • Employers are always looking for employees with industry-relevant course experiences. In that case, a professional certification in Microsoft Azure DP-203 Data Engineering offers quick exposure to various job opportunities with an enhanced salary.  
Who this course is for:

This course is for:

  • A learner who wants to complete the DP-203 certification
  • Those who wish to become a Data Engineer specialised in Azure  
  • Database Developers
  • Data Engineers
  • Data Scientists
  • Administrators in Database
  • Data Analyst with similar profiles
  • BI Developers
  • For technicians on-premises who want to implement technicalities on the Azure Cloud.

 

What you will learn from this course

Here is a complete list of things that you will learn from this course:

  • By the end, you will be completely prepared to pass the DP-203 Microsoft Azure: Data Engineering Exam.
  • Fully accustomed to Azure Cosmos DB, including the entire syllabus of DP-203.
  • SQL Database of Azure
  • All about Data Factory (Azure)
  • Analytics services in Azure.
  • Data Lake (Azure)
  • Datawarehouse, Azure SQL, and Synapse.
  • Databricks in Azure.
  • Complete overview of Azure monitoring services.

 

 

Know your instructor

Eshant Garg is a data analyst with 10+ years of experience. He lives in Edinburg, UK, and helps beginners and professionals with their career goals.  

 
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About instructor

Eshant Garg | AWS Certified Cloud Practitioner | LearnCloud.Info | 100,000+ Enrollments .

19,419 Reviews | 92,883 Students | 9 Courses
I love to explain complicated things in a simple and effective way.I have 16 years of extensive professional experience with expertise in Database and Business Intelligence Solutio...

Reviews

  • UD
    Umesh Devidas C.
    03/04/2022
    Ultimate course with the nice explanation. In last few sections I felt repeating contents/topics. Otherwise really nice course.
  • JG
    Javier G.
    03/02/2022
    this is great training, I passed my exam last week, Eshant explains everything you need to know to work data engineer in azure and also to pass the exam.
  • ER
    Eduardo R.
    09/12/2021
    I have not present the exam yet, but I really feel more confident after taking the course as it is clearer than the resources given by Microsoft itself. Just, I think the accent of the tutor could be better. That would be my advice about the course
  • RT
    Robert T.
    06/09/2021
    Great course overall. Very thorough, set at a good pace with meaningful content. Could do with regular tests at the end of each section to reinforce understanding of material.
  • ED
    Eric D.
    06/04/2021
    No clear direction hard to tell where the certification learning ends and the just extra info begins. Not clear on what to actually study because of this.
$5 $30 83.33% off
Includes:

Frequently Asked Questions

The number of questions keeps on varying from time to time. However, there are around 40-60 questions in multiple-choice format.

The time period of this Microsoft Azure DP-203 Data Engineering + Practice Tests course is 22.25 hours.

The course content is designed according to the reading habit of an average student. Overall it takes around 50 hours to complete the entire course.

You need to: 1.Have a basic concept about Azure DP-203 databases. Proficiency in the English language. 2.Enthusiasm to clear the exam.

The course content is designed according to the reading habit of an average student. Overall it takes around 50 hours to complete the entire course.
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