Microsoft Azure Analytics

Bootcamp 2020

with Walking Tree Technologies

Certified Microsoft Silver Partner

A comprehensive data science and analytics program that helps working professionals learn without having any prior coding knowledge.

Keeping everyone’s health and safety in mind, owing to the spread of COVID-19, we have decided to put the Bengaluru chapter of the upcoming Azure Bootcamp on hold, for now.

We will keep you posted on this.

Meanwhile, you always have the option of our online training on Azure. With 16 sessions spread over 8 modules, you get a comprehensive, in-depth look into its architecture, components, virtualization & cloud services, with the personalized attention of a Microsoft certified trainer for Azure.


P.S. Stay safe, protect yourself and others! 

Learn from a certified Azure Solutions Architect

One-day immersive program with hands-on learning of in-demand tools

Industry-leading curriculum designed by Microsoft Certified Trainer

In this course, students will learn how to use Data Factory, a cloud data integration service, to compose data storage, movement, and processing services into automated data pipelines. There would be practical tutorials describing how to use different components or building blocks of data factory v2.

At the end of the course, students will be able to get started and build medium complex data driven pipelines in data factory independently and confidently.

  • Anyone who would be interested to learn Cloud Computing with Microsoft Azure.
  • Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure.
  • Want to make a career in Cloud Computing and Data Analytics.
  • A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.
Enrollment Fee₹2,000Registration Fees
Balance Fee₹8,000Within 48 hours after registration
Total Program Fee₹10,000 + GST


Discounts available for groups, startups and students. Enquire now.


Introduction to Azure Data Factory (ADF), Azure Data Lake Storage (ADLS)

Azure Synapse Analytics (formerly SQL DW), Azure Analysis services

Difference between Azure Data Lake Storage Gen1 & Gen2

Part 1 : Demo 

Use of Azure Data Factory for

  • Transfer of Data from BLOB to ADLS
  • Transfer of Data from On-Premise SQL Server to ADLS
  • Transfer of File from On-Premise Drive to ADLS
  •  Use of SAP connector to fetch Data from SAP and storing the same in ADLS (Theory only)

Part 2 : Demo 

Use of Azure Data Factory for

  • Transfer of Data from ADLS to Azure Synapse Analytics
  • Calling Stored Procedure
  • Use of REST API to Resume/Pause Azure Synapse Analytics instance
  • Transfer of Data from Azure SQL DB to Azure Synapse Analytics

Part 3 : Demo 

Use of Key Vault for implementing industry Security standard:

  • Use of Key Vault for connecting ADF to SQL DB
  • Use of Key Vault for connecting ADF to ADLS

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