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Azure Data Factory Training in Chennai

4.8 (510 Ratings)

This Azure Data Factory training in Chennai is curated by experts keeping in mind the curriculum of the DP-200 certification exam and the industry requirements. Our instructors are experts from top organizations who wish to help you clear the exam and make you a professional in this domain by teaching you all the concepts and skills.

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

ADF Online Training Overview

What topics will be covered in our Microsoft Azure Data Factory course in Chennai?

This online course will prepare you for the DP-200 certification exam and also help you gain the ability to design and implement Azure data solutions. Further, you will be able to ensure security and privacy, perform data management, etc. with the services available in Azure. Also, you will gain expertise in the following modules:

  • Data storage solution implementation
  • Optimization of data solutions
  • Development and management of data processing

Azure Cosmos DB uses Apache Spark and Jupyter Notebook to reduce the consumed time by collecting data and serving it and performing the analysis of several local database copies in Azure regions.

The following professionals should sign up for our program:

  • Data Engineers
  • Data Scientists
  • Data Architects
  • Data Analysts
  • Individuals who want to build their career in Azure

Here are the different types of activities that can be performed in Azure Data Factory:

 

Activity Type Description
Data Movement Activities These activities are used to copy data from one data store to another. Some examples of data movement activities include the Copy Activity, the Copy Incremental Activity, and the Copy SQL Server Data Warehouse Activity.
Data Transformation Activities These activities are used to transform data. Some examples of data transformation activities include the Mapping Data Flow, the Azure Databricks Activity, and the Azure Machine Learning Service Activity.
Control Activities These activities are used to control the flow of execution of a pipeline. Some examples of control activities include the If Condition Activity, the For Each Activity, and the Execute Pipeline Activity.

Yes. We cover Azure Databricks in this Azure Data Factory training in Chennai. With Azure Databricks, you can work with the latest version of Apache Spark. This will help you integrate it with numerous open-source libraries. You will also be able to update the clusters in Apache Spark as Azure is more scalable compared to most cloud services.

You should take up this course for the reasons listed below:

  • There are 60+ jobs open for Azure Data Factory professionals in Chennai – LinkedIn
  • The average salary of certified Azure professionals in Chennai, Tamil Nadu, is ₹1,768,457 per year – PayScale
  • Top MNCs, including Wipro, Deloitte, and more, are hiring professionals skilled in Azure Data Factory – Indeed

Azure Stream Analytics will enable you to deal with the applications of event processing in real time by scaling them. Moreover, Azure Stream Analytics offers improved performance through partitioning, which allows complex queries to be paralleled and makes it easy for them to run on various stream nodes.

If you wish to take up this program, you need to have experience in the field of data engineering in terms of working with Azure Data Lake, Azure Data Factory, Azure Stream Analytics, Azure SQL Data Warehouse, and more.

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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

$1,08,000 Highest Salary

700+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

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

$316

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
01 Oct

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

07 Oct

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

14 Oct

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

29 Oct

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$527 10% OFF Expires in

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

Module 02 - Data Lake and Azure Cosmos DB

Preview

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

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.

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

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

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

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

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

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

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

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Microsoft Azure Data Factory Certification in Chennai

This Azure Data Factory course in Chennai 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 Chennai, 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 Chennai FAQs

Why should I enroll in this Azure DP-200 training in Chennai?

This program which is one of the best Azure Data Factory training institutes in Chennai is designed keeping in mind the requirements of the Microsoft Azure DP 200 exam. This training will help you acquire the required skills and make you capable of performing Big Data engineering on respective cloud services. Also, this training will help you achieve the DP-200 certificate and land a job in Azure.

Yes, of course. Intellipaat has been serving Data Engineers across Chennai since 2011. You can be living in Thiruvanmiyur, Adyar, Medavakkam, Alwarpet, Nungambakkam, Porur, K. K. Nagar, Sholinganallur, Velachery, Anna Nagar, Madipakkam, Tambaram or any other locality in Chennai. You can start learning Azure Data Factory in Chennai and with our 24/7 support team.

Here are some free resources on DP-200:

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in 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 decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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