Data Engineering on Microsoft Azure Video Course

DP-203: Data Engineering on Microsoft Azure

Your Microsoft DP-203 exam is just around the corner, right? So, it's high time to find an effective preparation tool! Our training course is what you really need! This is a series of videos led by the experienced IT instructors who will provide you with a detailed overview of the DP-203 certification test. Ace your Microsoft DP-203 at the first attempt and obtain the Data Engineering on Microsoft Azure credential with ease.

# of Students
133
# of Lectures
262
Course Length
10 h
Course Rating
5.0
Price $27.49
Today $24.99

Curriculum for DP-203 Video Course

Introduction
1. Introduction
6 Lectures
6 Lectures
Duration: 00:25:00
00:25:00
Design and implement data storage - Basics
2. Design and implement...
17 Lectures
17 Lectures
Duration: 01:52:00
01:52:00
Design and implement data storage - Overview on Transact-SQL
3. Design and implement...
12 Lectures
12 Lectures
Duration: 00:34:00
00:34:00
Design and implement data storage - Azure Synapse Analytics
4. Design and implement...
53 Lectures
53 Lectures
Duration: 04:42:00
04:42:00
Design and Develop Data Processing - Azure Data Factory
5. Design and Develop...
36 Lectures
36 Lectures
Duration: 04:23:00
04:23:00
Design and Develop Data Processing - Azure Event Hubs and Stream Analytics
6. Design and Develop...
27 Lectures
27 Lectures
Duration: 02:58:00
02:58:00
Design and Develop Data Processing - Scala, Notebooks and Spark
7. Design and Develop...
30 Lectures
30 Lectures
Duration: 01:59:00
01:59:00
Design and Develop Data Processing - Azure Databricks
8. Design and Develop...
34 Lectures
34 Lectures
Duration: 02:27:00
02:27:00
Design and Implement Data Security
9. Design and Implement...
20 Lectures
20 Lectures
Duration: 01:49:00
01:49:00
Monitor and optimize data storage and data processing
10. Monitor and optimize...
27 Lectures
27 Lectures
Duration: 02:11:00
02:11:00

Introduction

  Video Name Time
  1. IMPORTANT - How we are going to approach the exam objectives 3:00
  2. OPTIONAL - Overview of Azure 2:00
  3. OPTIONAL - Concepts in Azure 4:00
  4. Azure Free Account 5:00
  5. Creating an Azure Free Account 5:00
  6. OPTIONAL - Quick tour of the Azure Portal 6:00
  Video Name Time
  1. Section Introduction 2:00
  2. Understanding data 4:00
  3. Example of data storage 2:00
  4. Lab - Azure Storage accounts 6:00
  5. Lab - Azure SQL databases 15:00
  6. A quick note when it comes to the Azure Free Account 4:00
  7. Lab - Application connecting to Azure Storage and SQL database 11:00
  8. Different file formats 7:00
  9. Azure Data Lake Gen-2 storage accounts 3:00
  10. Lab - Creating an Azure Data Lake Gen-2 storage account 9:00
  11. Using PowerBI to view your data 7:00
  12. Lab - Authorizing to Azure Data Lake Gen 2 - Access Keys - Storage Explorer 6:00
  13. Lab - Authorizing to Azure Data Lake Gen 2 - Shared Access Signatures 8:00
  14. Azure Storage Account - Redundancy 11:00
  15. Azure Storage Account - Access tiers 9:00
  16. Azure Storage Account - Lifecycle policy 3:00
  17. Note on Costing 5:00
  Video Name Time
  1. Section Introduction 2:00
  2. The internals of a database engine 4:00
  3. Lab - Setting up a new Azure SQL database 3:00
  4. Lab - T-SQL - SELECT clause 3:00
  5. Lab - T-SQL - WHERE clause 3:00
  6. Lab - T-SQL - ORDER BY clause 1:00
  7. Lab - T-SQL - Aggregate Functions 1:00
  8. Lab - T-SQL - GROUP BY clause 4:00
  9. Lab - T-SQL - HAVING clause 1:00
  10. Quick Review on Primary and Foreign Keys 4:00
  11. Lab - T-SQL - Creating Tables with Keys 3:00
  12. Lab - T-SQL - Table Joins 5:00
  Video Name Time
  1. Section Introduction 2:00
  2. Why do we need a data warehouse 10:00
  3. Welcome to Azure Synapse Analytics 2:00
  4. Lab - Let's create a Azure Synapse workspace 3:00
  5. Azure Synapse - Compute options 3:00
  6. Using External tables 4:00
  7. Lab - Using External tables - Part 1 9:00
  8. Lab - Using External tables - Part 2 12:00
  9. Lab - Creating a SQL pool 7:00
  10. Lab - SQL Pool - External Tables - CSV 9:00
  11. Data Cleansing 4:00
  12. Lab - SQL Pool - External Tables - CSV with formatted data 3:00
  13. Lab - SQL Pool - External Tables - Parquet - Part 1 4:00
  14. Lab - SQL Pool - External Tables - Parquet - Part 2 7:00
  15. Loading data into the Dedicated SQL Pool 2:00
  16. Lab - Loading data into a table - COPY Command - CSV 11:00
  17. Lab - Loading data into a table - COPY Command - Parquet 3:00
  18. Pausing the Dedicated SQL pool 3:00
  19. Lab - Loading data using PolyBase 5:00
  20. Lab - BULK INSERT from Azure Synapse 6:00
  21. My own experience 6:00
  22. Designing a data warehouse 11:00
  23. More on dimension tables 5:00
  24. Lab - Building a data warehouse - Setting up the database 6:00
  25. Lab - Building a Fact Table 8:00
  26. Lab - Building a dimension table 6:00
  27. Lab - Transfer data to our SQL Pool 15:00
  28. Other points in the copy activity 2:00
  29. Lab - Using Power BI for Star Schema 6:00
  30. Understanding Azure Synapse Architecture 7:00
  31. Understanding table types 7:00
  32. Understanding Round-Robin tables 5:00
  33. Lab - Creating Hash-distributed Tables 5:00
  34. Note on creating replicated tables 1:00
  35. Designing your tables 4:00
  36. Designing tables - Review 4:00
  37. Lab - Example when using the right distributions for your tables 10:00
  38. Points on tables in Azure Synapse 2:00
  39. Lab - Windowing Functions 4:00
  40. Lab - Reading JSON files 5:00
  41. Lab - Surrogate keys for dimension tables 6:00
  42. Slowly Changing dimensions 4:00
  43. Type 3 Slowly Dimension dimension 2:00
  44. Creating a heap table 3:00
  45. Snowflake schema 1:00
  46. Lab - CASE statement 6:00
  47. Partitions in Azure Synapse 2:00
  48. Lab - Creating a table with partitions 11:00
  49. Lab - Switching partitions 7:00
  50. Indexes 6:00
  51. Quick Note - Modern Data Warehouse Architecture 2:00
  52. Quick Note on what we are taking forward to the next sections 2:00
  53. What about the Spark Pool 2:00
  Video Name Time
  1. Section Introduction 1:00
  2. Extract, Transform and Load 2:00
  3. What is Azure Data Factory 5:00
  4. Starting with Azure Data Factory 2:00
  5. Lab - Azure Data Lake to Azure Synapse - Log.csv file 13:00
  6. Lab - Azure Data Lake to Azure Synapse - Parquet files 13:00
  7. Lab - The case with escape characters 8:00
  8. Review on what has been done so far 6:00
  9. Lab - Generating a Parquet file 5:00
  10. Lab - What about using a query for data transfer 6:00
  11. Deleting artefacts in Azure Data Factory 3:00
  12. Mapping Data Flow 5:00
  13. Lab - Mapping Data Flow - Fact Table 14:00
  14. Lab - Mapping Data Flow - Dimension Table - DimCustomer 15:00
  15. Lab - Mapping Data Flow - Dimension Table - DimProduct 10:00
  16. Lab - Surrogate Keys - Dimension tables 4:00
  17. Lab - Using Cache sink 9:00
  18. Lab - Handling Duplicate rows 8:00
  19. Note - What happens if we don't have any data in our DimProduct table 4:00
  20. Changing connection details 1:00
  21. Lab - Changing the Time column data in our Log.csv file 8:00
  22. Lab - Convert Parquet to JSON 5:00
  23. Lab - Loading JSON into SQL Pool 5:00
  24. Self-Hosted Integration Runtime 3:00
  25. Lab - Self-Hosted Runtime - Setting up nginx 9:00
  26. Lab - Self-Hosted Runtime - Setting up the runtime 7:00
  27. Lab - Self-Hosted Runtime - Copy Activity 7:00
  28. Lab - Self-Hosted Runtime - Mapping Data Flow 16:00
  29. Lab - Processing JSON Arrays 8:00
  30. Lab - Processing JSON Objects 6:00
  31. Lab - Conditional Split 6:00
  32. Lab - Schema Drift 12:00
  33. Lab - Metadata activity 14:00
  34. Lab - Azure DevOps - Git configuration 11:00
  35. Lab - Azure DevOps - Release configuration 11:00
  36. What resources are we taking forward 1:00
  Video Name Time
  1. Batch and Real-Time Processing 5:00
  2. What are Azure Event Hubs 5:00
  3. Lab - Creating an instance of Event hub 7:00
  4. Lab - Sending and Receiving Events 10:00
  5. What is Azure Stream Analytics 2:00
  6. Lab - Creating a Stream Analytics job 4:00
  7. Lab - Azure Stream Analytics - Defining the job 10:00
  8. Review on what we have seen so far 8:00
  9. Lab - Reading database diagnostic data - Setup 4:00
  10. Lab - Reading data from a JSON file - Setup 6:00
  11. Lab - Reading data from a JSON file - Implementation 5:00
  12. Lab - Reading data from the Event Hub - Setup 7:00
  13. Lab - Reading data from the Event Hub - Implementation 8:00
  14. Lab - Timing windows 10:00
  15. Lab - Adding multiple outputs 4:00
  16. Lab - Reference data 5:00
  17. Lab - OVER clause 8:00
  18. Lab - Power BI Output 10:00
  19. Lab - Reading Network Security Group Logs - Server Setup 3:00
  20. Lab - Reading Network Security Group Logs - Enabling NSG Flow Logs 8:00
  21. Lab - Reading Network Security Group Logs - Processing the data 13:00
  22. Lab - User Defined Functions 9:00
  23. Custom Serialization Formats 3:00
  24. Lab - Azure Event Hubs - Capture Feature 7:00
  25. Lab - Azure Data Factory - Incremental Data Copy 11:00
  26. Demo on Azure IoT Devkit 5:00
  27. What resources are we taking forward 1:00
  Video Name Time
  1. Section Introduction 2:00
  2. Introduction to Scala 2:00
  3. Installing Scala 6:00
  4. Scala - Playing with values 3:00
  5. Scala - Installing IntelliJ IDE 5:00
  6. Scala - If construct 3:00
  7. Scala - for construct 1:00
  8. Scala - while construct 1:00
  9. Scala - case construct 1:00
  10. Scala - Functions 2:00
  11. Scala - List collection 4:00
  12. Starting with Python 3:00
  13. Python - A simple program 2:00
  14. Python - If construct 1:00
  15. Python - while construct 1:00
  16. Python - List collection 2:00
  17. Python - Functions 2:00
  18. Quick look at Jupyter Notebook 4:00
  19. Lab - Azure Synapse - Creating a Spark pool 8:00
  20. Lab - Spark Pool - Starting out with Notebooks 9:00
  21. Lab - Spark Pool - Spark DataFrames 4:00
  22. Lab - Spark Pool - Sorting data 6:00
  23. Lab - Spark Pool - Load data 8:00
  24. Lab - Spark Pool - Removing NULL values 8:00
  25. Lab - Spark Pool - Using SQL statements 3:00
  26. Lab - Spark Pool - Write data to Azure Synapse 11:00
  27. Spark Pool - Combined Power 2:00
  28. Lab - Spark Pool - Sharing tables 4:00
  29. Lab - Spark Pool - Creating tables 5:00
  30. Lab - Spark Pool - JSON files 6:00
  Video Name Time
  1. What is Azure Databricks 4:00
  2. Clusters in Azure Databricks 6:00
  3. Lab - Creating a workspace 3:00
  4. Lab - Creating a cluster 14:00
  5. Lab - Simple notebook 3:00
  6. Lab - Using DataFrames 4:00
  7. Lab - Reading a CSV file 4:00
  8. Databricks File System 2:00
  9. Lab - The SQL Data Frame 3:00
  10. Visualizations 1:00
  11. Lab - Few functions on dates 2:00
  12. Lab - Filtering on NULL values 2:00
  13. Lab - Parquet-based files 2:00
  14. Lab - JSON-based files 3:00
  15. Lab - Structured Streaming - Let's first understand our data 3:00
  16. Lab - Structured Streaming - Streaming from Azure Event Hubs - Initial steps 8:00
  17. Lab - Structured Streaming - Streaming from Azure Event Hubs - Implementation 10:00
  18. Lab - Getting data from Azure Data Lake - Setup 7:00
  19. Lab - Getting data from Azure Data Lake - Implementation 5:00
  20. Lab - Writing data to Azure Synapse SQL Dedicated Pool 5:00
  21. Lab - Stream and write to Azure Synapse SQL Dedicated Pool 5:00
  22. Lab - Azure Data Lake Storage Credential Passthrough 10:00
  23. Lab - Running an automated job 6:00
  24. Autoscaling a cluster 2:00
  25. Lab - Removing duplicate rows 3:00
  26. Lab - Using the PIVOT command 4:00
  27. Lab - Azure Databricks Table 5:00
  28. Lab - Azure Data Factory - Running a notebook 6:00
  29. Delta Lake Introduction 2:00
  30. Lab - Creating a Delta Table 5:00
  31. Lab - Streaming data into the table 3:00
  32. Lab - Time Travel 2:00
  33. Quick note on the deciding between Azure Synapse and Azure Databricks 2:00
  34. What resources are we taking forward 1:00
  Video Name Time
  1. Section Introduction 1:00
  2. What is the Azure Key Vault service 5:00
  3. Azure Data Factory - Encryption 5:00
  4. Azure Synapse - Customer Managed Keys 3:00
  5. Azure Dedicated SQL Pool - Transparent Data Encryption 2:00
  6. Lab - Azure Synapse - Data Masking 10:00
  7. Lab - Azure Synapse - Auditing 6:00
  8. Azure Synapse - Data Discovery and Classification 4:00
  9. Azure Synapse - Azure AD Authentication 3:00
  10. Lab - Azure Synapse - Azure AD Authentication - Setting the admin 4:00
  11. Lab - Azure Synapse - Azure AD Authentication - Creating a user 8:00
  12. Lab - Azure Synapse - Row-Level Security 7:00
  13. Lab - Azure Synapse - Column-Level Security 4:00
  14. Lab - Azure Data Lake - Role Based Access Control 7:00
  15. Lab - Azure Data Lake - Access Control Lists 7:00
  16. Lab - Azure Synapse - External Tables Authorization via Managed Identity 8:00
  17. Lab - Azure Synapse - External Tables Authorization via Azure AD Authentication 5:00
  18. Lab - Azure Synapse - Firewall 7:00
  19. Lab - Azure Data Lake - Virtual Network Service Endpoint 7:00
  20. Lab - Azure Data Lake - Managed Identity - Data Factory 6:00
  Video Name Time
  1. Best practices for structing files in your data lake 3:00
  2. Azure Storage accounts - Query acceleration 2:00
  3. View on Azure Monitor 7:00
  4. Azure Monitor - Alerts 8:00
  5. Azure Synapse - System Views 2:00
  6. Azure Synapse - Result set caching 6:00
  7. Azure Synapse - Workload Management 4:00
  8. Azure Synapse - Retention points 2:00
  9. Lab - Azure Data Factory - Monitoring 7:00
  10. Azure Data Factory - Monitoring - Alerts and Metrics 4:00
  11. Lab - Azure Data Factory - Annotations 3:00
  12. Azure Data Factory - Integration Runtime - Note 7:00
  13. Azure Data Factory - Pipeline Failures 3:00
  14. Azure Key Vault - High Availability 2:00
  15. Azure Stream Analytics - Metrics 3:00
  16. Azure Stream Analytics - Streaming Units 2:00
  17. Azure Stream Analytics - An example on monitoring the stream analytics job 11:00
  18. Azure Stream Analytics - The importance of time 7:00
  19. Azure Stream Analytics - More on the time aspect 6:00
  20. Azure Event Hubs and Stream Analytics - Partitions 5:00
  21. Azure Stream Analytics - An example on multiple partitions 7:00
  22. Azure Stream Analytics - More on partitions 4:00
  23. Azure Stream Analytics - An example on diagnosing errors 4:00
  24. Azure Stream Analytics - Diagnostics setting 6:00
  25. Azure Databricks - Monitoring 7:00
  26. Azure Databricks - Sending logs to Azure Monitor 3:00
  27. Azure Event Hubs - High Availability 6:00

Student Feedback

5 Stars
4 Stars
3 Stars
2 Stars
1 Star
5.0
Rating: 5.0
Overall Rating: Good.

Similar Courses

Technology Literacy for Educators
Microsoft 62-193
45 Lectures
45 Lectures
Duration: 1 hours
1 h
Windows Operating System Fundamentals
Microsoft 98-349
34 Lectures
34 Lectures
Duration: 3 hours
3 h
Software Development Fundamentals
Microsoft 98-361
48 Lectures
48 Lectures
Duration: 5 hours
5 h
Database Fundamentals
Microsoft 98-364
10 Lectures
10 Lectures
Duration: 3 hours
3 h
Windows Server Administration Fundamentals
Microsoft 98-365
12 Lectures
12 Lectures
Duration: 6 hours
6 h
Networking Fundamentals
Microsoft 98-366
10 Lectures
10 Lectures
Duration: 4 hours
4 h
Security Fundamentals
Microsoft 98-367
66 Lectures
66 Lectures
Duration: 6 hours
6 h
Introduction to Programming Using Python
Microsoft 98-381
10 Lectures
10 Lectures
Duration: 7 hours
7 h

Only Registered Members can View Training Courses

Please fill out your email address below in order to view Training Courses. Registration is Free and Easy, You Simply need to provide an email address.

  • Trusted by 1.2M IT Certification Candidates Every Month
  • Hundreds Hours of Videos
  • Instant download After Registration

Already Member? Click here to Login

A confirmation link will be sent to this email address to verify your login

1200+ IT Certification Exams available: Get a free sample of any exam right now!
Try Free Demo

Try Free Demo

  • ABA
  • ACAMS
  • ACFE
  • ACI
  • ACSM
  • Adobe
  • AHIP
  • AHLEI
  • AICPA
  • AIWMI
  • Alfresco
  • Alibaba
  • AMA
  • AndroidATC
  • APBM
  • API
  • APICS
  • Apple
  • Arista
  • ASIS
  • ASQ
  • Atlassian
  • Autodesk
  • Avaya
  • Axis Communications
  • BACB
  • BCS
  • Blockchain
  • Blue Coat
  • Blue Prism
  • C++ Institute
  • CA Technologies
  • CertNexus
  • Checkpoint
  • CIMA
  • Cisco
  • Citrix
  • CIW
  • Cloudera
  • CNCF
  • CompTIA
  • CSA
  • CWNP
  • CyberArk
  • Dell
  • DMI
  • DSCI
  • EMC
  • Esri
  • Exin
  • Extreme Networks
  • F5
  • FileMaker
  • FINRA
  • Fortinet
  • GAQM
  • GARP
  • Genesys
  • GIAC
  • Google
  • Guidance Software
  • H3C
  • HashiCorp
  • HFMA
  • HIPAA
  • Hitachi
  • HP
  • HRCI
  • Huawei
  • IAPP
  • IBM
  • IFPUG
  • IIA
  • IIBA
  • Informatica
  • iSAQB
  • ISC
  • iSQI
  • ISTQB
  • ITIL
  • Juniper
  • Lenovo
  • Linux Foundation
  • Logical Operations
  • LPI
  • Magento
  • Marketo
  • McAfee
  • Microsoft
  • Mirantis
  • Mulesoft
  • NACVA
  • NCMA
  • NetSuite
  • Network Appliance
  • NI
  • Nokia
  • Novell
  • Nuage Networks
  • Nutanix
  • OMG
  • Palo Alto Networks
  • Pegasystems
  • PEOPLECERT
  • PMI
  • PRINCE2
  • Pulse Secure
  • Python Institute
  • QlikView
  • RedHat
  • Riverbed
  • RSA
  • Salesforce
  • SANS
  • SAP
  • SAS Institute
  • Scrum
  • SDI
  • ServiceNow
  • Six Sigma
  • Slack
  • SNIA
  • Snowflake
  • SOA
  • Software Certifications
  • SolarWinds
  • Splunk
  • SpringSource
  • Symantec
  • Teradata
  • Test Prep
  • The Open Group
  • Tibco
  • UiPath
  • Unity Certification
  • VCE
  • Veeam
  • Veritas
  • Vmedu
  • VMware
  • WatchGuard
  • WorldatWork
  • Zend
Next Step
Next Step

Try Free Demo

  • Microsoft
Next Step
Next Step

Get 10% Discount on Your Purchase When You Sign Up for Email

Passguide Products

Enter Your Email Address to Receive Your 10%
OFF Discount Code Plus... Our Exclusive Weekly Deals

* We value your privacy. We will not rent or sell your email address