Azure Data Factory Training in Kochi - TutorsBot

Azure Data Factory Training in Kochi

This Azure Data Factory Training in Kochi has been designed by experts with the Azure Data Factory certification exam curriculum and industry requirements in mind. Our instructors are top-tier professionals who want to help you pass the exam and become a professional in this field by teaching you all of the concepts and skills. TutorsBot Trains Their Students From Basic Concept to Advanced Concepts, With Real-Time Project. With our Azure Data Factory Online and Offline Training, you will learn how to Implement Data Security, Including Authentication, authorization Data policies, and Standards. Attend our free demo class before enrolling in our training programme to receive free career counselling.

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Course Features

Free Demo Classes

Placement Training

Doubt Resolution

Certification Guidance

Updated Syllabus

Affordable Price

+91 8681 995 995

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Course Overview

Azure Data Factory (ADF) is a data integration cloud service. ADF is used to bring together different data sources from around the enterprise, including cloud and on-premises data. It may use computing services like Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning to process and transform the data. You will learn how to design data-driven pipelines to direct the movement of data in the Azure Data Factory Training in Kochi.

Our Azure Data Factory Professional certification is governed by the International Azure Data Factory Certification Consortium. This Azure Data Factory Training focuses on teaching lessons on critical components of information security using in-depth learning sessions and real-world examples. The Azure Data Factory certification Training enhances and validates your understanding of system security across all eight areas of the Azure Data Factory Course. It gives you global recognition in the field of Azure Data Factory and provides you with several job opportunities with corporate behemoths. This Azure Data Factory Course is intended to produce an Azure Data Factory expert who is up to date on current security standards and can assist in the establishment of a safe and scalable information security system that is also compliant with government regulations.

What Does Azure Data Factory Do?

Copy- Copy Data From Many Supported Sources Both on-Premise and Cloud Sources.

Transform-Transform the Data.

Publish-Publish The Copied and Transformed Data, Sending it To a Destination Data Storage or Analytical Engine.

Monitor-Monitor the Data Flows Using a Rich Graphical Interface.

Why Do I Need Azure Data Factory?

Data Factory is used For all Cloud Projects. Almost any cloud project you will need to perform data Movement Activities Across Various Networks. Data Factory is a Particularly a Required Enabler for Organizations who are Making Their First Steps in the Cloud and Who thus try to Connect on-premise data with the cloud.

                        

Course Syllabus

Azure Data Factory: an Introduction

  • Overview

  • Introduction to Azure Data Factory

  • What's New in Azure Data Factory

Create data factory - User interface (UI)

  • Prerequisites

  • Azure Storage account

  • Create a data factory

  • Create a linked service

  • Create datasets

  • Create a pipeline

  • Debug the pipeline

  • Trigger the pipeline manually

  • Monitor the pipeline

  • Trigger the pipeline on a schedule

Create data factory - Copy data tool

  • Prerequisites

  • Azure subscription

  • Azure roles

  • Azure Storage account

  • Create a data factory

  • Start the Copy Data tool

Create an Azure Data Factory using Azure CLI

  • Prerequisites

  • Prepare a container and test file

  • Create a data factory

  • Create a linked service and datasets

  • Create and run the pipeline

  • Clean up resources

Create an Azure Data Factory using PowerShell

  • Prerequisites

  • Azure Storage account

  • Azure PowerShell

  • Create a data factory

  • Create a linked service

  • Create datasets

  • Create a pipeline

  • Create a pipeline run

  • Monitor the pipeline run

  • Review deployed resources

  • Clean up resources

Create a data factory and pipeline using .NET SDK

  • Prerequisites

  • Create an application in Azure Active Directory

  • Create a Visual Studio project

  • Install NuGet packages

  • Create a data factory client

  • Create a data factory

  • Create a linked service

  • Create a dataset

  • Create a pipeline

  • Create a pipeline run

  • Monitor a pipeline run

  • Run the code

Create a data factory and pipeline using Python

  • Prerequisites

  • Create and upload an input file

  • Install the Python package

  • Create a data factory client

  • Create a data factory

  • Create a linked service

  • Create datasets

  • Create a pipeline

  • Create a pipeline run

  • Monitor a pipeline run

  • Full script

  • Run the code

  • Clean up resources

Create an Azure data factory and pipeline by using the REST API

  • Prerequisites

  • Set global variables

  • Authenticate with Azure AD

  • Create a data factory

  • Create linked services

  • Create datasets

  • Create a pipeline

  • Create pipeline run

  • Parameterize your pipeline

  • Create parameterized input dataset

  • Create parameterized output dataset

  • Create parameterized pipeline

  • Create pipeline run with parameters

  • Monitor pipeline

  • Verify the output

  • Clean up resources

Create an Azure Data Factory using ARM template

  • Prerequisites

  • Review template

  • Deploy the template

  • Review deployed resources

  • Clean up resources

Copy and ingest data

  • Copy data tool

  • Copy activity in pipeline

  • Copy data from on-premises to the cloud

  • Amazon S3 to ADLS Gen2

  • Incremental copy pattern overview

  • Incremental pattern with change tracking

  • Incremental SQL DB single table

  • Incremental SQL DB multiple tables

  • CDC copy pipeline with SQL MI

  • Copy from SQL DB to Synapse SQL Pools

  • Copy SAP BW to ADLS Gen2

  • Copy Office 365 to Azure Blob Store

  • Bulk copy multiple tables

  • Copy pipeline with managed VNet

Transform Data

  • Transform Data with Mapping Data Flows

  • Prepare data with data wrangling

  • Using External Services

  • Control Flow

  • Run SSIS Packages in Azure

  • Lineage

  • End to end Labs

  • Managed Virtual Networks

  • Self-hosted integration runtime

Paul Durai

Azure Data Factory Trainer

Paul Durai is a certified professional with over 5 years of experience in their field, and He is Azure Data Factory domain working professional, and have many live projects that they will use during training sessions.

Azure Data Factory Training in Kochi Key Skills

  • Continuous Integration
  • Continuous Delivery
  • Continuous Deployment
  • Infrastructure as a code
  • Orchestration
  • Virtualization
  • Monitoring
  • Code repository
  • Build Tools
  • Artifactory
  • Azure Data Factory
  • Azure
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Course Price & Discounts

  • 55% Discount for Online Program
  • 40% Discount for Batch Enrollment
  • Referral Discounts Available

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Projects

azure Data factory to find thde most popular youtube channel.

To determine the most popular YouTube channel, create an Azure Data Factory. The real-life project on YouTube involves students retrieving a list of videos from a data set of YouTube channels with the most views and pushing advertisements on the channels with the most traffic.

using azure data factory, data lake, and Azure SQL

The students will work realistically with Azure Data Factory, Data Lake, and SQL to construct an automated solution that allows the business to see a real-time dashboard of lead count with power bi heat map, azure SQL, and so on.

How to find maximum traffic videos in selected youtube channel?

Get the most traffic in real-time by gathering videos from YouTube channels and automating the transformation of real-time video lists on a weekly basis. On a given day, traffic may be analyzed based on a variety of criteria.

Training Options

Self Paced Learning

Affordable Price

Flexible Timing

Videos from Experts

Updated Syllabus

Instructor-Led Training

Monday, May 23rd 2022

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, May 28th 2022

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Thursday, May 26th 2022

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, May 28th 2022

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Expert Trainers

Doubt Resolutions

Dedicated Support Team

Placements Assistance

Corporate Training

Customized Syllabus

Easy Employee Up-Skilling

Dedicated LMS

Full Time Support

Get Your Course Certificate

The course is in line with respective certification programs, and upon the completion of the training, TutorsBot’s course completion certificate will be awarded upon the completion of the projects, along with other certifications.

This certificate is a proof that you have completely mastering in the domain. This certificate validate you have worked in assignments, exercises, projects and case studies. Share your certificate and achievement on LinkedIn, Facebook or Twitter.

TutorsBot Certificate

Course Timing

Weekdays

Monday to Friday

Timing 8:00 to 10:00

Weekend

Saturday & Sunday

Timing 9:00 to 9:00

Online

Monday to Sunday

Timing 7:00 to 10:00

Fast-track

Monday to Sunday

Timing 7:00 to 10:00

Course Review

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"Enjoyed training sessions and project sessions; Provided me query resolution within a day and certification support is excellent with TutorsBot Enjoyed training sessions and project sessions; Provided me query resolution within a day and certification support is excellent with TutorsBot's Azure Data Factory Training Course. . "

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"I am working as a developer in an MNC company. I need to take a Azure data Factory course; I visited many training providers, after seeing the TutorsBot review and my learning budget, I chose TutorsBot, The doubt resolution, and course interactiveness is outstanding. "

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Training FAQ

To know more about the Azure Data Factory training program, you can either contact us through a phone call, email, or live chat. Our customer service team can provide a detailed explanation and further, they can resolve your queries about the master's program.

TutorsBot team provides support from training onboarding, assignments, micro-learning exercise, and doubt resolutions. TutorsBot team also provide resume building, mock interview, placement assistance, and project mentoring.

No, TutorsBot's placement team help to increase the opportunity of getting the job by providing technical training, industry projects, case studies, resume preparation and mock interviews.

At TutorsBot, you can enroll in either instructor-led online training or instructor-led campus training. We also provide corporate training for workforce upskilling.

You can make payment any of the following options credit card, debit card, net banking, and wallets and by cash. After paying the payment you will receive an email with the receipt.

Yes, After deducting admission fees for the training program; We will refund the remaining amount. Refund will not avail after attending five classes of the course enrollment. To know more about the refund policy, check our Refund Policy webpage in the website's footer.

Yes, we provide Jenkins, Kubernetes, Docker, Ansible, Puppet, Maven, Chef, AWS, Microsoft Azure, and Git.

TutorsBot's programme faculty are selected from a pool of numerous profiles and have over 5 years of expertise in the industrial domain as well as reputable training backgrounds. We only allow faculty to be training faculties in TutorsBot once we have evaluated their technical skills with numerous alumni evaluations.

Azure Data Factory Training program will have a duration of 3 months.

Azure Data Factory is becoming a high-demand job in the industry. Enrolling in a Azure Data Factory program will increase your knowledge in Azure Data Factory and increase your career transition. In this course, the training syllabus updated based on current domain trends.

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