Complete Practical and Real-time Training on Azure Data Engineer. This Job Oriented Course includes: 1. Azure Fundamentals, 2. Azure Active Directory, 3. Azure SQL Databases, 4. Azure Migrations, 5. Azure Data Factory, 6. Azure SQL Pools (Synapse), 7. Azure Synapse Analytics, 8. Azure Storage, 9. Azure Data Lake Storage, 10. Azure Stream Analytics, 11. Azure Databricks, 12. SparkSQL, 13. PySpark, and 14. End to Implementation with a Real-time Project for your resume & job work. This extensive, 100% practical Azure Data Engineer Online Training coures also includes End to End Real-time Project with Power BI Integrations and complete guidance for DP 203 Microsoft Certification Examination. Register Today for a Free Demo
PLAN A | PLAN B | PLAN C | |
---|---|---|---|
Azure Data Engineer |
T-SQL, Azure Data Engineer |
T-SQL, Power BI, Azure Data Engineer |
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No of Videos | 28 Videos | 40 Videos | 58 Videos |
ADF : Azure Data Factory | ✔ | ✔ | ✔ |
ADF : Data Imports, ETL | ✔ | ✔ | ✔ |
ADF : Data Flows, Wrangling | ✔ | ✔ | ✔ |
ADF : Transformations, ETL | ✔ | ✔ | ✔ |
Synapse: Configuration, Loads | ✔ | ✔ | ✔ |
Synapse: ETL with ADF, DWH | ✔ | ✔ | ✔ |
Synapse: Performance Tuning | ✔ | ✔ | ✔ |
Synapse: MPP, cDWH, DIUs | ✔ | ✔ | ✔ |
ADB : Azure Data Bricks | ✔ | ✔ | ✔ |
ADB : Architecture, Data Loads | ✔ | ✔ | ✔ |
ADB : Run Spark Jobs, Pools | ✔ | ✔ | ✔ |
ADB : Workspace, Delta Tables | ✔ | ✔ | ✔ |
DP 203 Certification Guidance | ✔ | ✔ | ✔ |
SQL: Database Basics, T-SQL | ❌ | ✔ | ✔ |
SQL : Constraints, Joins, Queries | ❌ | ✔ | ✔ |
T-SQL : Queries, SProcs, Lock Hints | ❌ | ✔ | ✔ |
SQL: Views, Group By, Self Joins | ❌ | ✔ | ✔ |
Power BI: Report Design, Visuals | ❌ | ❌ | ✔ |
Power BI: Power Query (M Lang), DAX | ❌ | ❌ | ✔ |
Power BI: Report Server, Admin | ❌ | ❌ | ✔ |
Power BI: PL-300 Certification Guidance | ❌ | ❌ | ✔ |
DP 500 [ADE + Power BI] | ❌ | ❌ | ✔ |
Total Course Fee
*
* Payable in Installments |
INR 24,000 USD 325 |
INR 28,000 USD 379 |
INR 38,000 USD 514 |
Trainer: Mr.Sai Phanindra (17+ Yrs of Exper)
Azure Data Engineer Training Highlights :
✔ Azure Data Factory |
✔ Azure Databricks |
✔ Azure Synapse |
✔ Azure Cosmos DB |
✔ ADF Resources, Monitor |
✔ Power Query in ADF |
✔ Azure Storage Explorer |
✔ Azure Data Explorer |
✔ On-Premise Migrations |
✔ Big Data Storage |
✔ Performance Tuning |
✔ Security Management |
✔ Data Monitoring |
✔ Prepping, Ingestions |
✔ Power BI Integration |
✔ Spark Clusters, Python, Scala |
All Session Are Completely Practical & Real Time
Video 1: DATABASE INTRODUCTION
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Video 5: SQL Basics - 3, T-SQL INTRO
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Video 9: Triggers & Transactions
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Video 2: SQL SERVER INSTALLATIONS
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Video 6 : CONSTRAINTS, INDEXES
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Video 10: DB Architecture & Group By
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Video 3: SSMS Tool, SQL BASICS - 1
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Video 7: JOINS & LINKED SERVERS
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Video 11: TSQL Queries: Group By, Joins
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Video 4: SQL BASICS - 2
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Video 8: VIEW, SPs, FUNCTIONS BASICS
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Video 12 : ER MODELS, NORMAL FORMS
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Case Study 1 - For Database, Table Design (Constraints, Keys) |
Case Study 2 - For Query Writing + Window Functions (Rank, RowNumber) |
Mod 1: Azure Data Factory [ADF], Synapse |
Mod 2: Azure Storage & Stream Analytics |
Mod 3: Azure Databricks & SparkSQL |
Chapter 1: Cloud Basics, Azure SQL DB
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Chapter 1: Azure Storage & Containers
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Chapter 1: Azure Intro, Azure Databricks
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Chapter 2: Synapse SQL Pools (DWH)
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Chapter 2: Azure Migration, BLOB Imports
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Chapter 2: SQL Notebooks & Python
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Chapter 3: Azure Data Factory Concepts
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Chapter 3: Azure Tables, Shares
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Chapter 3: Python Notebooks
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Chapter 4: ADF Pipelines, Polybase
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Chapter 4: Azure Storage Security, Admin
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Chapter 4: Open Data Sources, DeltaLakes
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Chapter 5: OnPremise Data with ADF
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Chapter 5: Azure Monitoring, Power BI
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Chapter 5: Databricks Security & Jobs
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Chapter 6: ADF Data Flow - 1
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Chapter 6: Azure Stream Analytics, IoT
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Chapter 6: Databricks @ BLOB, Power BI
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Chapter 7: ADF Data Flow - 2
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Chapter 7: IoT Hubs & Event Hubs
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Chapter 7: Databricks Integrations
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Chapter 8: Azure Synapse Analytics
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Chapter 8: Azure Stream Analytics Security
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Real-Time Project
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Chapter 9: Synapse Analytics with Spark
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Chapter 10: Incremental Loads @ Synapse
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Chapter 11: Optimizations, Power Query
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Chapter 12: Pipeline Monitoring, Security
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Part 1: Power BI Report Design |
Part 2: ETL, Data Modeling, DAX |
Part 3: Power BI Cloud, Admin |
Ch 1 : POWER BI BASICS
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Ch 7 : POWER QUERY LEVEL 1
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Ch 13 : POWER BI CLOUD - 1
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Ch 2: BASIC REPORT DESIGN
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Ch 8 : POWER QUERY LEVEL 2
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Ch 14 : POWER BI CLOUD - 2
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Ch 3 : Visual Sync, Grouping
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Ch 9 : POWER QUERY LEVEL 3
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Ch 15 : EXCEL & RLS
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Ch 4 : Hierarchies, Filters
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Ch 10 : DAX Functions - Level 1
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Ch 16 : Report Server, RDL
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Ch 5 : Bookmarks, Azure, Modeling
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Ch 11 : DAX Functions - Level 2
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Ch 17: MSBI Integrations
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Ch 6 : Visualization Properties
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Ch 12 : DAX FUNCTIONS Level 3
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Ch 18 : REAL-TIME PROJECT
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