Azure Data Engineering End-to-end Course 2026 (English)

Name: Azure Data Engineering End-to-end Course 2026 (English)
Rating: 4.5 (1652 reviews)

Learn multiple tools in Azure data engineering stack through this course, all in one bundle!

Created byYusuf Didighar

Last updated 6/2026

English

What you'll learn

Understand end-to-end flow of Azure data engineering stack
Be ready to appear for interviews and crack them easily
Become independent to maximum level in handling tasks
End-to-end project covering entire lifecycle

Course content

26 sections • 614 lectures • 92h 24m total length

Introduction19:46
Why do most people fail to learn?0:35

001. Introduction to SQL4:34
History of SQL0:25
002. Install SQL Server 20257:37
003. Create And Drop Database14:25
SQL Server Hierarchy0:35
004. System Databases2:05
Create and Drop Tables12:33
006. Insert Data In Table17:11
007. Select4:30
008. InstallAdventureWorksSampleDB2:19
Dowload the sample database attached.
009. GetUniqueValues9:13
010. Sort Data11:51
011. Comments5:09
012. Filter Data21:28
013.Filter With Wild Characters10:06
014. Aggregate Function13:36
015. Grouping Rows7:30
016. Select..Into6:33
017. Create Table With Primary Key14:28
018. Create Table With NOT NULL Constraint4:44
019. Create Table With Unique Constraint7:17
020. Create Table With Check Constraint7:51
021. Create Table With Default Constraint3:45
022. Create Table With AutoIncrement6:04
023.Update Rows In Table10:33
024. Delete Rows From Table7:35
025. String Functions - Part 113:02
026. String Functions - Part 26:16
027. Scenario - Combine Names11:12
028. Scenario - Extract First And Last Names11:10
029. Date Time Functions - Part 17:35
030. Date Time Functions - Part 213:07
031. Date Time Functions - Part 35:11
032. Data Type - Part 1 - Integers8:22
033. Data Types - Part 2 - Approximate Numeric7:14
034. Data Types - Part 3 - Date Time1:52
035. Data Types - Part 4 - Strings13:38
036. Data Types - Part 5 - Unique identifier4:33
037. Data Types - Part 6 - bit2:55
038. Data Type Conversion5:48
039. Joins Part 1 – Introduction to joins16:52
040. Joins Part 2- Using Joins8:33
041. Joins Part 3- Join 3 tables6:14
042. Joins Part 4- Using Expressions4:38
043. Joins Part 4- Outer Joins4:46
044. Scenario - Joins Part 6 – Self Join9:17
045. Fact And Dimensions15:51
046. IIF Function9:40
047. CASE7:52
048. IIF & CASE multiple conditions8:00
049. Scenario - Custom sorting6:30
50. UNION & UNION ALL7:17
051. INTERSECT4:22
052. EXCEPT2:32
053. Foreign key constraint13:40
054. Subquery - PART 15:34
055. Subquery - PART2 -IN & NOT IN5:27
056. Subquery - PART3 - Update5:47
057.Subquery - PART 4-Derived Table4:35
058. Subquery - PART 5 - EXISTS, Correlated subquery6:11
059. Scenario - Subquery - PART 6 - Get contribution yearwise6:37
060. HAVING Clause4:42
061. TOP Clause4:46
062. Scenario - Get TOP & BOTTOM Products4:43
063. Window Functions-PART1 - ROW_NUMBER11:07
064. Window Functions - PART 2 - RANK & DENSE_RANK7:43
065. Window Functions - PART 3-LAG & LEAD5:53
066. Window Functions - PART4 - FIRST_VALUE & LAST_VALUE5:05
067. SQL Classification2:02
068. ALTER TABLE - PART 1 - Columns6:05
069. ALTER TABLE - PART 2- Constraints7:25
070. OFFSET4:22
071. COALESCE Function5:46
072. MERGE13:48
073. SCHEMA12:04
074. GROUP BY WITH ROLLUP10:28
075. GROUP BY WITH CUBE3:04
076. PIVOT5:19
077. UNPIVOT4:35
078. VIEWS11:02
079. Common Table Expression - Part1 - Introduction8:55
080. Common TableExpression - PART 2 - MultiPart6:28
081. Common Table Expression - PART 3 - Recursion10:02
082. Variables8:32
083. IF..ELSE7:33
084. WHILE LOOP10:52
085. Temp Tables7:36
086. Stored Procedures13:56
087. Converting a table to JSON9:42
088. Creating Nested JSON Output5:42
089. Output Clause10:57
090. Slowly Changing Dimensions19:11
091.Indexes-Part1-ClusteredIndex19:05
092. Indexes - Part 2 - NonClusteredIndex21:56
093. Indexes-Part3 - Theory21:57
094. Indexes - Part 4 - Index Seek11:25
095. DELETE and UPDATE on CASCADE3:03
096. String_agg and String_split functions4:28
097. Creating Functions7:48
098. Cross apply and Outer apply4:07
099. Quotename function7:18
100. sp_executesql5:33
100 videos in SQL!0:20
101. SQL Injection6:24
102. Dynamic Pivot8:43

1. Find Average2:49
2. Joins Challenge6:50
3. Identify and delete duplicate rows9:59
4. Custom Merging13:25
005.MissingData-FindMissingDepartments8:58
006.Find2ndLargestSalary6:07
7. 2nd Largest Salary In Each Department2:45
8. RowNumbering2:53
9. Find Alternate Rows4:53
10. Palindrome2:38
11. FindDuplicateEmails4:16
12. UpdateCorrectGender2:00
13. Transform Student Info11:29
14. Defect Classification5:19
015. Daily Running Total5:26
16. MTD Total5:02
17. QTD Total6:25
18. YTD Total5:49
19. Previous Year Sales And YOY Growth10:03
20. 3 month moving sum6:07

1. Introduction7:10
2. Copy Data Within Datalake19:13
3. Copy Entire Folder Specific Files13:45
4. Copy data from ADLS to SQLDB & vice versa11:39
5. Copy Data Additional Columns6:28
6. Set Variable Activity10:10
7. Copy files in timeframe12:20
8. Get MetaData Activity10:48
9. For Each Activity17:40
10. Copy Each File to New table25:16
11. Truncate & load8:04
12. Copy data with upsert4:20
13. Append Variable Activity5:42
14. Using SQL Queries In Copy Data Activity6:42
15. Column Mapping In Copy Data Activity6:47
16. Delete Activity5:18
17. Copy Data With Stored Procedure9:37
18. Stored Procedure Activity9:16
19. Lookup Activity5:04
20. Filter Activity5:17
21. IF Activity5:17
22. Switch Activity5:46
23. Script Activity4:02
24. Validation Activity5:47
25. Convert CSV to JSON5:54
26. Copy JSON to SQL DB12:27
27. Execute Pipeline Activity5:48
28. Copy Data If File Exists8:36
29. Parameters Vs Variables3:12
30. Delete Blank Files18:51
31. Copy Header Less CSV10:45
32. Retry Logic13:07
33. Copy Behavior11:38
34. Max Rows Per File4:23
35. Split Data Single Criteria19:55
36. Split Data Multiple Criteria17:09
37. Consolidate Data From Multiple Files13:12
38. Consolidate Data From Mutiple Folders27:06
39. Copy Data Custom Mappings SingleTable21:22
40. Copy Data Custom Mappings - MultipleTables18:53
41. Copy Data Pipe Character5:13
42. Copy Data Quote Character3:52
43. Introduction To DataFlows17:13
44. Select Transformation9:31
45. SortTransformation7:22
46. Filter Transformation5:00
47. Derived Column Transformation5:26
48. Conditional Split Transformation10:01
49. Cast Transformation5:13
50. Surrogate Key Transformation4:29
51.Aggregate Transformation7:44
52. Pivot Transformation6:17
53. Unpivot Transformation5:55
54.Rank Transformation5:30
55. Window Transformation9:24
56. Union Transformation12:29
57. Lookup Transformation8:23
58. Join Transformation4:47
59. Exists Transformation3:41
60. Flatten Transformation5:08
61. Parse Transformation7:41
62. Stringify Transformation4:45
65. Integration Runtime3:39
66. Install Self Hosted Integration Runtime6:47
67.Copy Data From Local To ADLS14:54
68. Copy Data From Local to Azure SQL DB3:33
69. Copy Data Local SQL db to Azure SQL db6:49
070. Copy Multiple Tables From Local sql DB to Azure sql DB19:40
071. Using Key Vault8:45
072. Schedule Trigger10:48
073.StorageEventTrigger16:28
75. CopyFilesOnBasisOfFileTypes10:34
076.IncrementalLoadFromADLStoSQLdbUsingStaging11:05
077.IncrementalLoadFromADLStoSQLdbUsingDataflow7:24
078.IncrementalLoadFromADLStoSQLdb-MultipleTablesUsingFileTimeStamp30:09
079.IncrementalLoadFromADLStoSQLdb-UsingHashFunction10:05

Requirements

No pre-requistes for this course as it created from scratch for everyone for every single tool/technology making it easier to learn

Description

This course covers multiple tools and technologies needed to become an azure data engineer.
The best part is there are no pre-requisites!
Anyone can enroll and learn through this course.
Our videos are simple to understand, to the point, short and yet covering everything you need.
The content we are offering in this course is immense and requires full dedication, self -discipline and daily learning to ensure a completion and to make you independent skilled professional.
We have trained 1000's of students and shaped their career and you could be the next one, join us by enrolling in the course and benefit immensely through our course offering.
You will get best of both quality and quantity!

In this course you will learn below tools and technologies from scratch:

SQL : Learn structured query language in Microsoft SQL Server.
Data warehousing : Learn fundamental concepts of data warehousing.
Azure cloud : Learn about cloud computing, benefits and different services.
Azure Data factory: Learn ETL on azure cloud, code free.
Python programming: Learn programming in python with simple way.
Big data fundamentals: Master the big data concepts to build strong foundation.
Databricks: Learn databricks, the leading data platform.
PySpark: Learn big data processing in pyspark on databricks.
Delta lake: Learn the delta lake features.
Spark structured streaming
Azure devops
POWER BI
Fabric
2 End-to-end projects : 1. Data quality project 2. Insurance domain(Rest api) project
GEN AI with langchain and langgraph frameworks to build AI agents and Agentic AI(Under progress)

This course is for everyone from beginner to architect level!

Note: Data bricks and Pyspark content is re-recorded and released with latest interface, updates, in-depth spark working in 2026!

Who this course is for:

Anyone can enroll this course from beginner, intermediate to architect level!
Anyone looking to transition into azure data engineering or existing data engineers looking to not just enhance their skillset but also learn in depth.

Azure Data Engineering End-to-end Course 2026 (English)

What you'll learn

Explore related topics

Course content

Introduction to Azure Data Engineering2 lectures • 20min

Announcements3 lectures • 6min

SQL105 lectures • 14hr 18min

SQL Scenarios20 lectures • 2hr 3min

Data warehousing7 lectures • 54min

Azure9 lectures • 59min

The Data Factory Story!4 lectures • 58min

Azure Data Factory76 lectures • 12hr 30min

ADF & SQL MetaData Driven Project2 lectures • 24min

Introduction To Databricks3 lectures • 19min

Requirements

Description

Who this course is for: