DP-203 : Microsoft Certified Azure Data Engineer Associate

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Vijay Gadhave,Ankit Mistry

15:41:13

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1. Introduction

1. Course Introduction.mp4

03:29

2. Basics of Data

1. Structured vs Unstructured vs Semi-Structured Data.mp4

08:40

2. Batch vs Streaming Data.mp4

04:23

3. OLTP vs OLAP.mp4

03:35

4. Data Lake vs Data Warehouse.mp4

03:41

5. Data Engineering Workflow.mp4

04:03

3. Azure Basic Services

1. Create Azure Account.mp4

04:49

2. Account, Subscription, Resources Groups & Resources.mp4

09:04

3. Different Ways to Access Azure.mp4

03:37

4. Azure Portal Walkthrough.mp4

08:54

5. Getting Ready with Azure CLI.mp4

09:14

6. Azure Cloud Shell.mp4

11:51

7. Create VM from Portal.mp4

09:52

8. Create VM From CLI.mp4

03:41

4. Azure Storage

1. Different Services for Azure Storage.mp4

04:01

2. Azure Storage Platform.mp4

04:08

3. Provision Azure Storage Account.mp4

10:28

4. Explore Azure Storage Account.mp4

07:19

5. What is Azure Blob Storage.mp4

05:04

6. Explore Azure Blob Storage Part 1.mp4

11:53

7. Explore Azure Blob Storage Part 2.mp4

09:30

8. Data Replication in Storage.mp4

14:02

9. Manual Failover.mp4

03:33

10. Blob Access Tier.mp4

06:02

11. Secure Storage Account.mp4

10:21

12. Azure Table.mp4

07:58

13. Azure Queue.mp4

06:15

14. Azure File Share.mp4

07:38

15. Azure Disk Storage.mp4

08:39

16. Introduction to Azure Data Lake Gen 2.mp4

09:42

17. Lifecycle Management.mp4

05:20

18. Azure Storage Explorer.mp4

06:13

5. Azure SQL Database

1. Introduction to Azure SQL Database.mp4

04:15

2. Azure SQL IaaS & PaaS Offering.mp4

06:37

3. Different Paas Deployment.mp4

05:34

4. [Hands-On] Azure SQL Database Part 1.mp4

11:58

5. [Hands-On] Azure SQL Database Part 2.mp4

10:06

6. [Hands-On] Azure SQL Database Part 3.mp4

09:58

7. [Hands-On] Azure SQL Database Part 4.mp4

02:59

8. SQL Pricing Model & Service Tier.mp4

07:20

6. Azure NoSQL Solution CosmosDB

1. Introduction to Azure Cosmos DB.mp4

04:19

2. APIs in Azure Cosmos DB.mp4

07:12

3. Azure Cosmos DB for NoSQL.mp4

07:03

4. Components of Azure Cosmos DB for NoSQL.mp4

02:25

7. Azure NoSQL Solution CosmosDB Part 2

1. Lab1 Creating Azure Cosmos DB Account for NoSQL Part 1.mp4

10:48

2. Lab1 Creating Azure Cosmos DB Account for NoSQL Part 2.mp4

12:23

3. Lab1 Creating Azure Cosmos DB Account for NoSQL Part 3.mp4

01:30

4. Overview Azure Cosmos DB Account for NoSQL.mp4

06:51

5. Lab 2 Creating a Database Part 1.mp4

12:35

6. Lab 2 Creating a Database Part 2.mp4

07:11

7. Lab 3 Creating a Container.mp4

15:41

8. Lab 4 Adding Items to Container.mp4

07:49

9. Request Units.mp4

07:34

10. Understand Throughput.mp4

05:13

11. Cost Management.mp4

07:04

12. Cosmos DB - Horizontally Scalable.mp4

01:33

13. Partition and Partition Key.mp4

03:57

14. Single vs Cross Partition.mp4

02:39

15. Avoid Hot Partitions.mp4

04:52

16. Time-to-Live (TTL).mp4

10:40

17. Serverless Capacity Mode.mp4

03:51

18. Serverless vs Provisioned Throughput.mp4

03:50

19. Autoscale vs Standard Throughput.mp4

07:23

20. Azure CosmosDB Pricing.mp4

09:42

8. Azure Data Factory Getting Started

1. Introduction to Azure Data Factory.mp4

06:10

2. Create Data Factory Account.mp4

03:57

3. Azure Data Factory Studio Overview.mp4

06:29

4. Pipelines and Activities.mp4

06:18

5. Create Storage Account & Containers.mp4

04:47

6. Introduction to Linked Services & Dataset.mp4

06:37

7. Create Pipeline Copy Data Activity Part 1.mp4

11:47

8. Create Pipeline Copy Data Activity Part 2.mp4

11:01

9. Debug & Trigger Pipeline.mp4

11:51

10. Prefix , Wildcard, List of Files.mp4

11:43

11. Triggers Introduction.mp4

03:26

12. Schedule Trigger.mp4

10:26

13. Storage Event Trigger.mp4

08:46

14. Integration Runtime Introduction.mp4

03:40

15. Azure Integration Runtime.mp4

11:53

16. Self-Hosted Integration Runtime Part 1.mp4

10:19

17. Self-Hosted Integration Runtime Part 2.mp4

03:25

18. Sharing Self-hosted Integration Runtime.mp4

07:11

19. Pipeline Parameters and Variables Introduction.mp4

03:19

20. Parameterize Pipelines & Datasets.mp4

10:32

21. Parameterize Linked Services.mp4

03:23

22. System Variables.mp4

08:29

23. Connectors.mp4

03:52

24. Copy Data Activity General, Mapping.mp4

09:17

25. Copy Data Activity Settings and User Properties.mp4

09:01

26. Delete Activity.mp4

04:40

9. Azure Data Factory Control Flow Activities

1. Set Variable Activity.mp4

10:40

2. Append Variable Activity.mp4

07:12

3. Get Metadata Activity.mp4

10:01

4. Execute Pipeline Activity.mp4

06:22

5. Fail Activity.mp4

04:27

6. Wait Activity.mp4

04:41

7. For Each Activity.mp4

10:33

8. If Condition activity.mp4

07:03

9. Web & WebHook Activity.mp4

05:09

10. Switch Activity.mp4

08:30

11. Validation & Lookup Activity.mp4

09:16

12. Filter Activity.mp4

05:54

13. Until Activity.mp4

08:33

14. Set Pipeline Return Value Activity.mp4

07:10

10. Azure Synapse Analytics Getting Started

1. Introduction to Azure Synapse Analytics.mp4

04:49

2. Create Azure Synapse Analytics Workspace.mp4

10:50

3. Azure Synapse Studio Overview Part 1.mp4

08:14

4. Azure Synapse Studio Overview Part 2.mp4

07:16

5. Basic Concepts in Azure Synapse Analytics Part 1.mp4

10:58

6. Basic Concepts in Azure Synapse Analytics Part 2.mp4

03:50

7.1 employee.csv

7.2 nyctripsmall.zip

7.3 sql script 1.zip

7.4 sql script 2.zip

7.5 sql script 3.zip

7.6 sql script 4.zip

7.7 sql script 5.zip

7. Analyze Data with a Serverless SQL Pool Part 1.mp4

05:10

8. Analyze Data with a Serverless SQL Pool Part 2.mp4

05:13

9. Analyze Data with a Serverless SQL Pool Part 3.mp4

05:42

10. Analyze Data with a Serverless SQL Pool Part 4.mp4

03:25

11. Analyze Data with a Serverless SQL Pool Part 5.mp4

03:08

12.1 nyctripsmall.zip

12.2 sql script 1.zip

12.3 sql script 2.zip

12. Analyze Data with Dedicated SQL Pool Part 1.mp4

07:22

13. Analyze Data with Dedicated SQL Pool Part 2.mp4

09:24

14. Analyze Data with Dedicated SQL Pool Part 3.mp4

03:37

15. Analyze Data with Dedicated SQL Pool Part 4.mp4

00:40

16.1 notebook 1.zip

16.2 nyctripsmall.zip

16. Analyze data with Serverless Spark Pool Part 1.mp4

10:07

17. Analyze data with Serverless Spark Pool Part 2.mp4

09:08

18. Analyze data with Serverless Spark Pool Part 3.mp4

07:37

19.1 notebook 2.zip

19. Analyze Data in Storage Account.mp4

17:03

20.1 notebook 3.zip

20. Integrate with Pipelines Part 1.mp4

17:34

21. Integrate with Pipelines Part 2.mp4

11:35

22. Monitor Synapse Workspace Part 1.mp4

12:30

23. Monitor Synapse Workspace Part 2.mp4

06:18

24. Explore Synapse Knowledge Center.mp4

10:08

11. Thanks you & Way Forward

1. Way Forward.mp4

01:54

Description

Pass Microsoft certified DP-203: Data Engineering on Microsoft Azure with 22+ Hours of HD video & 100+ Hands-on Labs

What You'll Learn?

Pass the Microsoft Azure DP-203 Azure Data Solutions test
Learn Basic Data Engineering & Database Concept
Learn Various Storage Product like Azure Storage, Queue, File, Table Storage
Build structured data solution with various SQL database options
Store Semi-structured data with CosmosDB
Develop ETL, ELT Solution with Azure Data Factory
Analyze Data with Data ware housing system - Synapse analytics
Azure Data Factory Control Flow Activities
Synapse SQL in Azure Synapse Analytics
Apache Spark in Azure Synapse Analytics
Azure Databricks
Delta Lake & Data warehouse in Azure Databricks
Azure Stream Analytics

Who is this for?

Cloud Engineer who want to get certified in Azure cloud Data Engineer

Anyone looking to use Azure cloud for Data Pipeline in Organization

Data Engineer who want to learn various Azure products for Data Engineering

Anyone who want to learn about various Storage & Database Product for Storing Data in Azure

What You Need to Know?

Enthusiasm & dedication to learn Azure Cloud

Azure Cloud account - (valid debit or credit card)

More details

Description
Are you ready to take your career to the next level in Azure Data Engineering?
Look no further! This comprehensive Udemy course is your ultimate guide to preparing for the DP-203: Microsoft Certified Azure Data Engineer Associate exam.

In today's data-driven world, the demand for skilled Azure Data Engineers is higher. Organizations seek professionals who can design, implement, and manage data solutions using Microsoft Azure services. Achieving the DP-203 certification is a testament to your expertise in the field, making you a valuable asset in the industry.

What You'll Learn:
Master Azure Data Services: Dive deep into Azure Data Factory, Azure Databricks, Azure HDInsight, and other essential Azure data services. Understand how these services can be leveraged to build data solutions.
Data Storage and Processing: Learn how to store and process data effectively using Azure SQL Data Warehouse, Azure Cosmos DB, and Azure Data Lake Storage.
Data Integration: Explore data integration techniques and best practices using Azure Data Factory, Azure Logic Apps, and more.
Data Orchestration: Gain expertise in orchestrating data workflows, data movement, and data transformation.
Data Security and Compliance: Understand how to secure your data solutions and ensure compliance with industry standards and regulations.
Monitoring and Optimization: Learn how to monitor the performance of your data solutions and optimize them for efficiency.
Real-world Scenarios: Get hands-on experience with real-world scenarios and practical exercises that simulate the exam environment.
Exam Preparation: Receive expert guidance on the DP-203 exam structure, question types, and test-taking strategies.

Regards
Ankit & Vijay
Who this course is for:
Cloud Engineer who want to get certified in Azure cloud Data Engineer
Anyone looking to use Azure cloud for Data Pipeline in Organization
Data Engineer who want to learn various Azure products for Data Engineering
Anyone who want to learn about various Storage & Database Product for Storing Data in Azure

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Hello Data Lover,I am glad that you are reading this!I am Vijay Gadhave and I have 10+ years of experience in the IT Industry. I am passionate about Cloud Computing and Machine Learning.I teach in areas of Cloud Computing, Machine Learning, Python, Data Science, and Data analysis.I hope you will enjoy my course and it will help you to grow in your career.

Ankit Mistry

Instructor's Courses

I am Ankit Mistry, completed my master from IIT Kharagpur in area of machine learning, Artificial intelligence. Now working as Software Developer, Big Data Engineer in one of leading private investment bank with 8+ years of experience in software industry. Over the time I developed interest related to data discipline and learned about data analysis, machine learning model development, Cloud Computing.Created course in area of Cloud Computing, Google Cloud, Python, Data Science, Data analysis, Machine Learning.I am so excited to be on Udemy online learning platform and want to make big impact on your software career.I hope you will like my course offering.

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