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Key Features



About The Program

Azure Data Factory course introduces With Azure Databricks, you can get the most advanced version of Apache Spark, which will enable you to seamlessly integrate it with the open-sourced libraries. Also, with Azure’s inherent scalability that surpasses every other cloud services, you can easily update the clusters in the Apache Spark.

Today, every company is moving towards cloud computing to meet growing customer expectations and gain a competitive advantage. Microsoft Azure is growing at an unprecedented rate. Therefore, there is an urgent need for Azure certified management professionals.


Microsoft Azure Data Factory training course will help you to become a Azure Data Factory expert. It will enhance your skills by offering you comprehensive knowledge on Azure Data Factory, and the required hands-on experience for solving real-time industry-based Azure Data Factory projects. In order to avail these opportunities, you need structured AWS training with an updated curriculum as per current industry requirements and best practices. Apart from strong theoretical understanding, you need to work on various real-life projects and work on different services for storage, network, database, computing, etc. Additionally, you need the advice of an expert who is currently working in the industry and tackling real-life challenges. These are the skills you will get to learn after enrolling with DeepNeeuron best Azure Data Factory course.

  • Master concepts like Data Visualization and Integration
  • Learn about Power Pivot, Power View, Power Map etc
  • Understand DAX and SSBI
  • Use and implement Custom Visuals
  • Explore Azure Data Factory Q&A
  • Perform Data Binding and Formatting
  • Master Azure Data Factory Embedded and Workspace Collection
  • Understand and use Data Gateways,Content packs, Azure Data Factory Report Server

The Microsoft Azure Data Factory Training at DeepNeuron is for all the professionals who are passionate about business intelligence, data visualization, and data analytics. It is best suited for:

  • Business Analysts
  • Business Intelligence Manager
  • Statisticians and Analysts
  • Data Scientists
  • Project Managers

Skills Covered


Azure Data Lake Storage

Azure Cosmos DB

Azure Blob Storage



Azure Synapse Analytics

Azure Batch


Azure Databricks

Azure Data Factory Course Curriculum

1.1 Document data stores

1.2 Columnar data stores

1.3 Key/value data stores

1.4 Graph data stores

1.5 Time series data stores

1.6 Object data stores

1.7 External index

1.8 Why NoSQL or Non-Relational DB?

1.9 When to Choose NoSQL or Non-Relational DB?

  • Best Uses
  • Scenarios

1.10 Azure Data Lake Storage

  • Definition
  • Azure Data Lake-Key Components
  • How it stores data?
  • Azure Data Lake Storage Gen2
  • Why Data Lake?
  • Data Lake Architecture

2.1 Data Lake Key Concepts

2.2 Azure Cosmos DB

2.3 Why Azure Cosmos DB?

2.4 Azure Blob Storage

2.5 Why Azure Blob Storage?

2.6 Data Partitioning

  • Horizontal partitioning
  • Vertical partitioning
  • Functional partitioning

2.7 Why Partitioning Data?

2.8 Consistency Levels in AzureCosmos DB

  • Semantics of the five-consistency level


1. Load Data fromAmazonS3 to ADLS Gen2 with Data Factory

2. Working with Azure Cosmos DB

3.1 Introduction to Relational Data Stores

3.2 Azure SQL Database

  • Deployment Models
  • Service Tiers


  • 1. Create a Single Database Using Azure Portal
  • 2. Create a managed instance
  • 3. Create an elastic pool

3.3 Why SQL Database Elastic Pool?


1. Create a SQL virtual machine

2. Configure active geo-replication for Azure SQL Database in the Azure portal and initiate failover.

    4.1 Azure SQL Security Capabilities

    4.2 High-Availability and Azure SQL Database

    • Standard Availability Model
    • Premium Availability Model
    • 4.3 Azure Database for MySQL


    1. Design an Azure Database for MySQL database using the Azure portal

    2. Connect using MySQL Workbench

    4.4 Azure Database for PostgreSQL


    • 1. Design an Azure Database for PostgreSQL – Single Server

    4.5 Azure Database For MariaDB


    • 1. Create an Azure Database for MariaDB server by using the Azure portal

    4.6 What is PolyBase?

    • Why PolyBase?

    4.7 What is Azure Synapse Analytics (formerly SQL DW)?

    • SQL Analytics and SQL pool in Azure Synapse
    • Key component of a big data solution
    • SQL Analytics MPP architecture components


  • 1. Import Data From Blob Storage to Azure Synapse Analytics by Using PolyBase

    5.1 What is Azure Batch?

    5.2 Intrinsically Parallel Workloads

    5.3 Tightly Coupled Workloads

    5.4 Additional Batch Capabilities

    5.5 Working of Azure Batch


    1. Run a batch job using Azure Portal

    2. Parallel File Processing with Azure Bath using the .NET API

    3. Render a Blender Scene using Batch Explorer

    4. Parallel R Simulation with Azure Batch

    6.1 Flow Process of Data Factory

    6.2 Why Azure Data Factory

    6.3 Integration Runtime in Azure Data Factory

    6.4 Mapping Data Flows


    1. Transform data using Mapping data flows

    7.1 What is Azure Databricks?

    7.2 Azure Spark-based Analytics Platform

    7.3 Apache Spark in Azure Databricks


    1. Run a Spark Job on Azure Databricks using the Azure portal

    2. ETL Operation by using Azure Databricks

    3. Stream data into Azure Databricks using Event Hubs

    8.1 Working of Stream Analytics

    8.2 Key capabilities and benefits


    1. Analyse phone call data with stream analytics and visualize results in Power BI dashboard

    8.3 Stream Analytics Windowing Functions

    • Tumbling window
    • Hopping Window
    • Sliding Window
    • Session Window

9.1 What is Azure Monitor?

  • Metrics
  • Logs
  • Metrics Vs Logs

9.2 What data does Azure Monitor collect?

9.3 What can you Monitor?

  • Insights and Core Solutions

9.4 Alerts in Azure

  • Flow of Alerts
  • Key Attributes of an Alert Rule
  • What can you set alert on?
  • Manage alerts
  • Alert States
  • How to create an alert?
    • Hands-on:

      1. Create, View, and Manage Metric alerts using Azure Monitor

      2. Monitor your Azure Data Factory Pipelines proactively with Alerts

      9.5 Azure Security Logging & Auditing

      • Types of Logs in Azure
      • Azure SQL Database Auditing
      • Server-level vs. Database-level Auditing Policy
        • Hands-on:

          1. Azure SQL Database Auditing

Alumni Work At

Master Client Desktop


  • What if I miss a Azure Data Factory online training class?

    You will never miss a lecture at DeepNeuron! You can choose either of the two options:

    • View the recorded session of the class available in your LMS.
    • You can attend the missed session, in any other live batch.

    Enroll now to attend the never miss and one of the best Azure Data Factory course class offered by DeepNeuron.

  • What if I have queries after I complete this Azure Data Factory course?

    Your access to the Support Team is for a lifetime and will be available 24/7. The team will help you in resolving queries, during, and after the Azure Data Factory certification course.
  • How soon after Signing up would I get access to the Learning Content?

    Post-enrolment, the LMS access will be instantly provided to you and will be available for a lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, access to our 24x7 support team will be granted instantly as well. You can start learning right away.
  • Is the course material accessible to the students even after the Azure Data Factory Certification course training is over?

    Yes, access to the course material will be available for a lifetime once you have enrolled in the course. So what are you waiting for then? Get enroll with industries one of the best Azure Data Factory course offered by DeepNeuron.

  • What is Azure Data Factory and its uses?

    Azure Data Factory is a Microsoft business intelligence tool for business analytics. This tool allows users to aggregate and share data with reports, visualizations, and other analytics tools. It helps you create reports and charts for business insights. Azure Data Factory is available in Windows desktop app, online cloud-based software as a service, a report builder, a report server, a visual marketplace, and mobile apps for Windows, iOS, and Android tablets and smartphones.

  • How online training courses help me learn Azure Data Factory?

    Online certification training courses on Azure Data Factory can help you understand how it works. You will learn to build reports and dashboards, use query editor, and understand Data Modeling and data analysis expressions.

    • Lifetime access to e-learning course syllabus for all of the Data Science courses included in the learning path (*only for courses)
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Python for Data Science

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.


    Course completion certificate

    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support. portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

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