Course Information
Course Overview
Learn multiple tools in Azure data engineering stack through this course, all in one bundle!
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
End-to-end project
This course is for everyone from beginner to architect level!
Important:
We have added a new section for Databricks and PySpark at the end of the course to cover below updates:
Interface changes
Unity catalog approach
Databricks Assistant use for code generation and debugging.
Other updates.
Every week we are releasing new videos in this section. Code in pyspark is mostly the same with no changes, but we wanted to refresh the content with latest updates, hence we are re recording and releasing this. You can first watch new section and then take examples from old section by the time we continue to release full section.
Course Content
- 23 section(s)
- 537 lecture(s)
- Section 1 Introduction to Azure Data Engineering
- Section 2 Announcements
- Section 3 SQL
- Section 4 SQL Scenarios
- Section 5 4. Data warehousing
- Section 6 5. Azure
- Section 7 The Data Factory Story!
- Section 8 6.Azure Data Factory
- Section 9 7.Introduction To Databricks
- Section 10 8.Python Programming
- Section 11 Python Scenarios
- Section 12 9. Big Data Fundamentals
- Section 13 10.Databricks & PySpark
- Section 14 11.DeltaLake & Lakehouse
- Section 15 12.Databricks
- Section 16 13.Spark Structured Streaming
- Section 17 14. Azure synapse analytics
- Section 18 15. Azure Devops
- Section 19 16. End-to-end project
- Section 20 17. Fabric
- Section 21 18.Pyspark Scenarios
- Section 22 18. Interview Preparation
- Section 23 New Databricks & Pyspark
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
Skills covered in this course
Reviews
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NNoman Zahid
Only halfway through the ADF section, but already learned so much. Saves so much time to learn all that in a single course rather than scratching your head through Chatgpt, Youtube etc. Too much effort from the instructor part. Question: How would you recommend to navigate Databricks sections because of Interface and HiveMetaStore, UnityCatalog changes?
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IIRIOBEVBUDU Harold Ohioma
great course...he taught very well and slowly...
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SSushant Gambhir
I am currently at initial stage of the course. But I am not getting how to proceed in this course. I mean some of the content is outdated (like databricks). In between there are updated content as well. But I am getting confused in sequence and which all to cover. Like we have Databricks in 13 then in section 15 and then in section 23. Which sequence should be followed and is everything even needed? Is it all relevant? So much confusion
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KKiran Manam
good tutor