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 Azure Data Factory, 6. Azure SQL Pools (Synapse), 7. Azure Synapse Analytics, 8. Azure Storage, 9. Azure Data Lake Storage, 10. Azure Data Lake Analytics, 11. Azure Cosmos DB, 12. Azure Stream Analytics, 13. Azure Databricks, 14. Azure Key Vaults, 15. Azure Functions and 16. 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 | |
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Azure Data Engineer |
T-SQL, Azure Data Engineer |
T-SQL, Power BI, Azure Data Engineer |
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Total Duration | 6 Weeks | 8 Weeks | 12 Weeks |
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 | ✔ | ✔ | ✔ |
SQL: Database Basics, T-SQL | ❌ | ✔ | ✔ |
SQL : Constraints, Joins, Queries | ❌ | ✔ | ✔ |
T-SQL : Queries, SProcs, Lock Hints | ❌ | ✔ | ✔ |
SQL: Views, Group By, Self Joins | ❌ | ✔ | ✔ |
Power B: Report Design, Visuals | ❌ | ❌ | ✔ |
Power BI: M Lang, DX for ETL | ❌ | ❌ | ✔ |
Power BI: Report Server, Admin | ❌ | ❌ | ✔ |
Total Course Fee
*
* Payable in Installments |
INR 24,000 USD 325 |
INR 28,000 USD 379 |
INR 36,000 USD 487 |
Trainer: Mr. Sai Phanindra T
All Session Are Completely Practical & Real Time
Schedules for SQL Server & T-SQL | |||
S No | Timings (IST) | Start Date | |
---|---|---|---|
Regular Schedules [Mon - Fri] | |||
1 | 6 AM - 7 AM | May 24th | Register |
2 | 8 AM - 9 AM | July 5th | Register |
3 | 6 PM - 7 PM | June 27th | Register |
4 | 8 PM - 9 PM | June 7th | Register |
5 | 9 PM - 10 PM | June 13th | Register |
Azure Data Engineer Training Schedules | ||||
S No | Timings (IST) | Start Date | ||
---|---|---|---|---|
Regular Schedules [Mon - Fri] | ||||
1 | 7 AM - 8 AM | May 18th | Register | |
2 | 7 PM - 8 PM | May 30th | Register |
If above schedule does not work, opt for Azure Data Engineer Training Videos
Azure Data Engineer Training Highlights :
✔ Azure Fundamentals | ✔ Azure AD |
✔ Azure SQL Concepts | ✔ Azure Migrations |
✔ Azure AD | ✔ Azure Key Vaults |
✔ Azure Monitor | ✔ Azure Functions |
✔ Azure Data Factory | ✔ Azure Synapse |
✔ Azure Synapse | ✔ Azure Strorage |
✔ Data Lake Storage | ✔ Data Lake Analytics |
✔ Stream Analytics | ✔ IoT, Event Hubs |
✔ Azure Cosmos DB | ✔ Azure Databricks |
✔ Azure Notebooks | ✔ U-SQL & NoSQL |
✔ Python, Scala | ✔ Spark Clusters |
✔✔ End to End Real-time Project @ Resume |
Ch 1: SQL SERVER INTRODUCTION
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Ch 5: SQL Basics - 3, T-SQL INTRO
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Ch 9: JOINS, T-SQL QUERIES Level 3
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Ch 2: SQL SERVER INSTALLATIONS
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Ch 6 : CONSTRAINTS,INDEXES Basics
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Ch 10: VIEW, SPs, Function Basics
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Ch 3: SSMS Tool, SQL BASICS - 1
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Ch 7: JOINS, T-SQL Queries : Level 1
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Ch 11: Triggers & Transactions
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Ch 4: SQL BASICS - 2
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Ch 8: Group By, T-SQL Queries Level 2
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Ch 12 : ER MODELS, NORMAL FORMS
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Real-time Case Study - 1 (Sales & Retail) Objective : Database Design, Table Design and Relations. Involves Purchases, Products, Customers and Time Data with Various Data Types. |
Real-time Case Study - 2 (Sales & Retail) Objective : Queries, Excel Integration Pivot Tables, Pivot Charts, ODC Connections |
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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