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Azure Data Factory Training in Bangalore

37,591 Ratings

The trainers of this Azure Data Factory training in Bangalore have designed this course in line with the DP-200 examination. They aim to teach you all the necessary topics and concepts through online lectures, assignments, and projects, which will help you clear the certification exam easily.

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Key Highlights

26 Hrs Instructor Led Training
26 Hrs Self-paced Videos
24 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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ADF Online Training Overview

What will be covered in the Microsoft Azure Data Factory course in Bangalore?

This Azure training will help you prepare for the DP-200 certification exam by helping you master the skills to create and use Azure data solutions. With the help of this course, you will be skilled to perform data management, ensure security, etc., using the services available in Azure. Further, you will master the following modules:

  • Optimizing several data solutions
  • Data storage solution and its implementation
  • Managing data processing

The professionals listed below are eligible to take up this course:

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Data Architects
  • Professionals who wish to learn Azure Data Factory and pursue a career in it

Yes. Our Azure Data Factory training in Bangalore will make you master Databricks. Our trainers will ensure your ability to work on the advanced version of Apache Spark, allowing you to integrate it with numerous open-source libraries. You will also be capable of updating the clusters in Apache Spark.

You should have experience in the field of Data Engineering while dealing with Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Stream Analytics, etc.

You must learn Azure Stream Analytics because it will allow you to scale event-processing applications in real time. It also provides better performance through partitioning, making it easy for complex queries to run on numerous stream nodes.

Yes. Our online Microsoft Azure Data Factory certification course includes Azure SQL Database

Here are the different ways to organize data pipelines in Azure Data Factory:

 

Way of Orchestration Description
Triggered pipelines Pipelines that are triggered by a specific event, such as a change in a data source or a schedule
Manually triggered pipelines Pipelines that are triggered by a user manually, such as through the Azure portal or the Azure Data Factory SDK
Pipeline dependencies Pipelines that depend on the successful completion of other pipelines

This can be used to create complex workflows that involve multiple steps.

Control flow activities Activities that allow you to control the flow of a pipeline, such as conditional looping and branching.
Azure Data Factory SDK A set of APIs that allow you to programmatically create, manage, and monitor Azure Data Factory pipelines.

You must enroll in our course for the reasons mentioned below:

  • There are 530+ job vacancies for Azure Data Factory professionals in Bangalore, Karnataka – LinkedIn
  • The average annual income of a professional in Azure is ₹620,756 in Bangalore – PayScale
  • Deloitte, Wipro, and other major companies are looking for Azure Data Factory certified professionals – Indeed
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Azure Data Factory is a cost-efficient and fully managed serverless cloud data integration tool that scales on demand. - Microsoft
There are over 1000 jobs for professionals with skill in Azure Data Factory in the US. - LinkedIn

Career Transition

59% Average Salary Hike

40 LPA Highest Salary

700+ Career Transitions

300+ Hiring Partners

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*Past record is no guarantee of future job prospects

14+ Skills Covered

NoSQL

Azure Data Lake Storage

Azure Cosmos DB

Azure Blob Storage

Azure SQL

MySQL

PolyBase

Azure Synapse Analytics

Azure Batch

.NET API

Azure Databricks

Azure Stream Analytics

Azure Monitor

Azure SQL Database Auditing

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Course Fees

Self Paced Training

  • 26 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade

₹18,012

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 26 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

15 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

21 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

28 Dec 2024 08:00 PM - 11:00 PM
₹30,039 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

EMI Partner

The credit facility is provided by a third-party credit facility provider in Bangalore and any arrangement with such third party is outside Intellipaat’s purview.

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Azure Data Factory Course Curriculum

Live Course

Module 01 - Non-Relational Data Stores and Azure Data Lake Storage

Preview

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
Download Brochure

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

Hands-on:
1. Load Data fromAmazonS3 to ADLS Gen2 with Data Factory
2. Working with Azure Cosmos DB

Download Brochure

3.1 Introduction to Relational Data Stores
3.2 Azure SQL Database

  • Deployment Models
  • Service Tiers

Hands-on:
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?

Hands-on:
1. Create a SQL virtual machine
2. Configure active geo-replication for Azure SQL Database in the Azure portal and initiate failover.

Download Brochure

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

Hands-on:
1. Design an Azure Database for MySQL database using the Azure portal
2. Connect using MySQL Workbench

4.4 Azure Database for PostgreSQL
Hands-on:
1. Design an Azure Database for PostgreSQL – Single Server

4.5 Azure Database For MariaDB
Hands-on:
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

Hands-on:
1. Import Data From Blob Storage to Azure Synapse Analytics by Using PolyBase

Download Brochure

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

Hands-on:
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

Download Brochure

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

Hands-on:
1. Transform data using Mapping data flows

Download Brochure

7.1 What is Azure Databricks?
7.2 Azure Spark-based Analytics Platform
7.3 Apache Spark in Azure Databricks

Hands-on:
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

Download Brochure

8.1 Working of Stream Analytics
8.2 Key capabilities and benefits
Hands-on:
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
Download Brochure

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

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Microsoft Azure Data Factory Projects

Microsoft Azure Data Factory Certification in Bangalore

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This Azure Data Factory course in Bangalore is designed to clear the certification exam: DP-200. You will also receive the course completion certificate issued by Microsoft for Performing Big Data Engineering on Microsoft Cloud Services.

The course is in line with the above curriculums and helps you get the best jobs in top MNCs. As part of this Azure Data Factory training in Bangalore, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios, thus helping you fast-track your career effortlessly. At the end of this training program, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better.

Intellipaat’s course completion certificate will be awarded upon the completion of the project work (after expert review) and scoring at least 60 percent marks on the quiz. This certification is well-recognized by top 80+ MNCs such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

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Azure Data Factory Training in Bangalore FAQs

Do you offer other programs related to the Azure Data Engineer certification?

Yes. We offer various courses related to the DP-200 certification, including the ones listed below:

This program, one of the top Azure Data Factory training institutes in Bangalore is in line with the Azure DP 200 certification exam. This program will help you gain proficiency in the required skills for you to perform Big Data engineering on various cloud services. We will also assist you in clearing the DP-200 exam and land a lucrative job.

You can read the following blogs to learn more about Azure:

Yes, of course. Intellipaat has been serving Data Engineers across Bangalore since 2011. You can be living in Marathahalli, HSR Layout, Indira Nagar, Electronic City, Richmond Town, Hebbal, Koramangala, BTM Layout, Jayanagar, Sarjapur, Vijaynagar, Whitefield, Bellandur, Rajajinagar or in any other locality in Bengaluru. You can start learning Azure Data Factory in Bangalore and with our 24/7 support team.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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