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Azure Data Engineering is a processing that involves reading of data from various sources, perform Transformations (Mashup Operations) like Data Filtering, Data Conversions, Joins, Aggregates, Merge, Pivot, and so on… Finally load the data into a storage area called “Data Warehouse”.

In simple terms, Data Engineering involves THRE steps:

Step 1: Read data from various sources

Step 2: Transform the data

Step 3: Load the transformed data into Warehouse.

Implementation Block Diagram of Azure Data Engineer:

A short demo on Azure Data Engineer Training from SQL School

What does Azure Data Engineer Includes?

Azure Data Engineer Components: Checklist

Azure Data Engineer Training Course Components List:
1. Azure Resources
2. Azure Firewall
3. Azure Active Directory
4. Azure Monitor
5. Azure Storage
6. Azure Data Lake Storage
7. Azure Synapse Pool
8. Azure Databricks
9. Azure Data Factory
10. Azure Synapse Analytics
11. Azure Stream Analytics
12. IoT Hubs, Event Hubs
13. Azure Purview & Logic Apps
14. End To End Implementation With Storage + ETL + Spark Clusters

About Azure Data Engineering Trainer

Trainer: Mr. Sai Phanindra. 19+ Years of IT Core Experience as Developer, Administrator and BI Engineer with various MNCs including #Microsoft #Deloitte #Infosys and #SequelGate
Profile: https://www.linkedin.com/in/saiphanindra/
Trainer Phone: +919030040801

About Azure Data Engineering Training Institute

#SQLSchool Training Institute is an ISO Certified Organization offering 100% Real-time, Practical Trainings and Projects for more than 19 Years. Course include Azure Data Engineering, Microsoft SQL, Power BI, Azure BI, Microsoft Fabric, Snowflake, PostgreSQL DBA, MySQL, Oracle, Tableau and Python. We assure our participants the BEST possible training methodologies to impart the knowledge and skills to suit the business demands.

www.sqlschool.com

contact@sqlschool.com
+91 9951440801 (Call / Whatsapp)

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