⭐ 4.9/5 Rating
Based on 6,000+ student reviews
🎓 10,000+ Enrolled
Students worldwide
👨🏫 10+ Years Experience
Industry expert trainers
📈 90% Placement Success
Students placed in top companies
📅 Course Duration
2 1/2 Months
💰 Course Price
₹ 25000
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📄 Course Content
Azure Data Engineer Training in Vizag
Welcome to Version IT which is a reliable place in Vizag where people dream of establishing their career in Microsoft Azure and cloud technology. Azure Date Engineer Training Program in Vizag is aimed at giving concrete experience, certification training, and exposure to real-time projects. You can be a fresher or an experienced IT professional but with this program you will be well equipped with the high-demand skills to succeed in the current competitive IT job market.
Why Choose Azure Date Engineer Training at Version IT?
We are building industry-ready cloud professionals at Version IT, which is not just skilled but also technologically proficient. The emerging IT ecosystem of Vizag has caused a high demand among the Azure-certified professionals and our training will help you to shine in the eyes of employers.
The main benefits of selecting Version IT to train on your Azure are:
- Trained by certified Azure professionals.
- Real-time project-based Microsoft aligned curriculum.
- Lab and hands-on exercise access.
- Individual development and interview training.
- Placement support of major IT firms.
At the end of the course, you will be ready to accept the positions of Cloud Engineer, solutions architect, or an Azure data engineer in the leading companies.
What You’ll Learn in Azure Data Engineer Course
The Azure training roadmap is set up to cover the basics and advanced features of Microsoft Azure and make you ready to receive certifications.
Course highlights:
- Presentation of cloud and Azure basics.
- Management of virtual machines, networking, and storage of the cloud.
- Governance, compliance and identity & access management.
- Azure SQL server and Cosmos DB databases.
- Creating and developing ETL pipes with Azure Data Factory.
- Azure synapse analytics and data bricks big data analysis.
- Security, monitoring and best practice.
- Real-time business scenario-based case studies.
This program guarantees the job-readiness of core and specialized Azure skills.
Become a Certified Azure Professional
Azure certifications give your resume great credibility. We offer comprehensive advice at Version IT to ensure you pass in internationally recognized exams such as:
- AZ-900 (Azure Fundamentals)
- AZ-104 (Azure Administrator)
- DP-203 (Microsoft Azure Data engineering).
- AI, Security, and DevOps specialty certifications.
Our training methodology is aimed at making sure that you pass all these exams with flying colors in the first attempt.
Flexible Learning Options
We know that learners do not have the same needs. This is why Version IT provides the possibility of both classroom training and Azure Data Engineer Online Training.
In our Vizag campus classroom training provides live communication, practical training, as well as team learning.
Online training offers flexibility in terms of virtual classes led by a trainer, recording and self-paced modules.
You can select either face-to-face or online learning, but we will guarantee the quality and result.
Why Version IT is the Right Choice for Azure Data Engineer Course
Version IT is a reliable Blue Data Engineer Training Institute, which is a combination of experience, placement provisions, and advanced educational tools. We have a reputation of running some of the Best Azure Data Engineer Training programs in Andhra Pradesh and assisting untold numbers of our trainees to get employment in reputed MNCs.
Aspirants aiming to attain the Best Azure Data Engineer Online Training are also well structured in our courses to provide them with opportunities to transform their careers and leave home. Not surprisingly, students have named our program as the Best Azure Data Engineer Training in Vizag.
Enrolling in our Azure Data Engineering Courses, you will have direct access to the highly qualified trainers who will simplify the complicated issues and help to achieve career excellence.
Placement Support at Version IT
We are determined to achieve your career success. Also in conjunction with technical training, Version IT offers:
- Cloud-based resume building.
- It will make use of mock interviews with industry professionals.
- Simple skills and communication training.
- IT recruiter and hiring partner placement.
Students are already in the clouds with top organizations in India and other foreign countries.
Who Should Enroll in Azure Data Engineer Course?
This training is ideal for:
- New graduates with their first IT opportunity.
- Cloud migration of system administrators.
- Cloud integration developers.
- The professionals who want to achieve international qualifications.
Applicants developing a profession as an Azure Data Engineer Training and data-based specialties.
Topics You will Learn
● Understanding different Cloud Models
● Advantages of Cloud Computing
● Different Cloud Services
● Different Cloud vendors in the market
● Introduction to Azure
● Azure cloud computing features
● Azure Services for Data Engineering
● Introduction of Azure Resources/Services with examples
● Azure management portal
● Advantage of Azure Cloud Computing
● Managing Azure resources with the Azure portal
● Overview of Azure Resource Manager
● Azure management services
● What is Azure Resource Groups
● Configuration and management of Azure Resource groups for hosting Azure
services
● Completed walkthrough of the Azure Portal with all the features
● What is Resource Groups and why do we need RG’s in Azure cloud computing
platform to host resources?
● Different types of Storage Accounts provisioning in Cloud computing with
different storage services
● Details explanation & understanding of different Blob/container storage
services
● Creating and managing the data in container storage services with Public and
Private accesses as per the need of a project
● Implementation of Snapshots for Blob storage services and File share storage
service
● Generating SAS for different storage services to make the storage content
browseable across all the globe or Publicly
● What is Standard Storage Account and Premium Storage account and which to
use accordingly as per the real time scenarios
● Detail explanation and implementation of Data Lake storage Gen2 Storage
Account to store the unstructured data in cloud storage services
● All the features/properties(Overview, activity log, Tags, Access control(IAM),
Storage browser…etc) of Azure Storage Accounts
● Maintenance and management of Storage keys and connection string for Azure
Storage services
● Implementing different levels of access(Reader, contributor, owners…etc) to the
Azure Storage accounts
● Moving the storage account with storage content across different Resources
Groups based on real time scenarios
● Migrating the data from On-prem(Private cloud) to Azure Storage account
(Public cloud) using Az copy(forward migration)
● Migrating the data from public cloud to Private cloud(reverse migration)
● Implementing the Az copy commands to migrate the data
● Moving the SA & its content from one Resource Group to another
● Azure Storage explorer for creating, managing, and maintaining the Azure
storage services data
● Installation of Azure Storage Explorer and what is the purpose of this tool for
Azure Storage accounts(its Purpose & benefits with real time scenarios)
● Generate Shared Access Signature(SAS) in Azure Storage Explorer(ASE) for
security implementation of Storage account content
● Managing of Access keys & connection strings of SA with Azure Storage
Explorer
● Configuration of Authentication and Authorization for Storage Account via
Azure Active Directory
● Hosting File share Storage services to On prem servers or Cloud Servers as
shared drive for File share servers
● Introduction to SQL DB’s
● Creation of new SQL DB’s & Sample SQL DB’s both in On-prem and Cloud
computing
● Planning and deploying Azure SQL Database
● Implementing and managing Azure SQL Database
● Managing Azure SQL Database security
● Planning and deployment of SQL DB’s in Azure cloud computing with real time
scenarios
● Different DB’s Deployment options
● Databases purchasing models.(VCore & DTU’s)
● Visualization of cloud DB server, Database, and validation of data from
on-prem(private cloud)
● Implementation of Firewall security rules on Azure DB servers to access and
connect from on-prem SSMS
● Creation of Database in on-premises and synch with azure cloud
● Migrating SQL DB’s from On-premises to Azure cloud computing using
Microsoft Data migration assistant
● Restoring SQL DB’s from On-prem to cloud computing
● Migration of Specific DB objects from on-prem to cloud based upon base upon
project requirements
● Implementation of RSV and scheduling the backups of SQL DB’s and Azure
Storage Account file share services on schedule, on demand based upon real
time scenarios
● Introduction to SQL DB Queries
● SQL queries detail explanations, syntax & execution based upon real time
scenarios
● Deep understanding and implementation of concepts/Components of ADF
● Building blocks of Azure Data Factory
● Complete features and walk through of Azure Data factory studio
● Different triggers and their implementation in ADF
● What is integration run time and different types of integration run time in ADF
● When to use ADF
● Why to use ADF
● Different types of ADF pipelines
● Pipelines in ADF
● Different types of Activities in ADF
● Datasets in Azure Data factory
● Linked services in ADF
● Copying the data from Blb Storage account to ADL’s Gen2 Storage account
● Copying of zip files(.csv) from Blob SA to ADL’s Gen2 SA using ADF
● Implementation and explanation of Metadata control in ADF to find the structure
before copying the data
● Implementation and explanation of Validation and If Condition
● Implementation of Get Metadata control, filter control & For Each Control or
activities in ADF
● Implementation & execution to copy the data from GitHub platform to Azure
Storage services with variables and parameters
● Implementation of Foreach control, copy data control and Set variable to
dynamically load the data from source to target using ADF
● Creating Dynamic pipelines with lookup activity to copy multiple .csv files data
picking form Json format data in Azure Storage services
● Copying the files from GitHub Dynamically with the use of Dynamic parameters
allocation-AUTOMATION PROCESS
● Copying the data from different files formats(.csv, .xlsx, .txt, .Parquet, .Json,
.SQL…etc) using suitable ADF controls/activities
● Implementation and execution of Loading the data from Blb SA to SQL DB single
table & multiple tables using copy data activity, ForEach activity
● Executing multiple pipelines in parallel with Execute pipeline activity
● Implementation of Schedule based triggers for different ADF pipelines
containing different activities.
● Implementation of Event based triggers for different ADF pipelines containing
different activities.
● Implementation of Thumbling window-based triggers for different ADF pipelines
containing different activities.
● Implementation and execution of storage and Event based triggers.
● Detail explanation & implementation of Azure Keyvaults
● Making the SQL DB connection string to store in Keyvault to enhance the
security for SA content and SQL DB
● Generating the secrets inside the Azure keyvault and granting access by
implementing the access policies for different users
● Detail walk through of GitHub portal
● Creating an account, repo’s, in GitHub portal
● Integrating Azure Data Factory with GitHub Portal as per project requirements.
● Placing, maintaining and executing the source code via GitHub portal for Azure
Data Factory.
● Creating master branch, practice branches in GitHub portal to merge the newly
created code via Pull Requests.
● Setting up the Repo for ADF pipelines and converting to live mode from GitHub
portal covering with real time scenarios.
● Designing new Data flows
● Designing and implementing transformations
● Inline Datasets in data flow source control
● Designing and implementing of Data flow with Source transformations, Filter
transformations & Sink transformations in ADF with inline Datasets
● Implementation of Select transformations with Data flows for various source
controls
● Implementation of Dataflows using Aggregate & Sink transformation
● Implementation of Dataflow with conditional split & Sink transformation with
copy data activity
● Implementation of Dataflow with Exists & Sink transformation
● Implementation of Azure Dataflows for Derived column transformation with
Source & Sink transformation
● Implementation of Azure Dataflows to connect to SQL DB with Source & Sink
transformation
● Union & Union flow transformation implementation with ADF Data flows
● Implementation of Azure Dataflows to connect to SQL DB with Source & Sink
transformation
● Implementation of windows functions…like Rank() function, Dense_Rank()
function, Row_Number() function…etc.
● What is Apache Spark, details explanation and implementation of Apache Spark
● Illustration and Elaboration of Apache Spark Architecture
● Explanation of RDD & DAG
● Understanding of different Apache Spark components
● What are worker nodes and slaves nodes in Azure Data Bricks clusters
● Implementation of Azure Databricks cluster by considering different worker
nodes and slave nodes
● Different features and properties of Azure Data Bricks clusters
● Creating single node and multi nodes clusters
● Creation of Pyspark notebooks in Databricks cluster to fulfil different business
requirements
● What is Azure Synapse Analytics
● Implementation of Linked Services/Datasets in Synapse Analytics
● Implementation of dedicated SQL Pool inside Synapse Analytics
● Implementation of serverless SQL Pool inside Synapse Analytics
● Creation of Apache spark pool in Azure Synapse Analytics
● Writing SQL Script in Azure Synapse analytics to get the result set in tabular and
chart formats
● Visualizing the data in Synapse analytics in variety of different charts (like pie
charts, line charts, bar charts…. etc)
● Designing of Synapse Analytics pipelines by considering various activities as
per the business requirements
● Creation of Datasets, Linked services for Synapse Analytics pipelines
● Data analysis with serverless spark pools in Azure Synapse Analytics
● What is Apache spark in azure synapse analytics
● Designing and development of Apache spark pool in Azure synapse
● Creating Spark Databases and tables to load the data from source system and
analysing the data in Synapse analytics
● What is Azure Stream Analytics
● Purposes and usage of Stream Analytics in Azure cloud computing
● Benefits and advantages of stream analytics
● Architecture diagram of data flow in Azure stream analytics with other cloud
services
● Understanding & usage of browser-based Raspberry Pi simulator
● Deployment of IoT Hub services as an input for Stream analytics jobs
● Implementation & execution of stream analytics jobs and designing inputs and
outputs for IoT Hub and Datalake Gen2
● Writing SQL scripts to generate live streaming data and loading it in destination
Let Your Certificates Speak
- Comprehensive training in Azure Data.
- Certificates are globally recognized & they upgrade your programming profile.
- Certificates are generated after the completion of course.
All You Need to Start this Course
- Engaging and interactive course content.
- Expert-led instruction for a deeper understanding.
FAQ's
Our training in Azure is open to new graduates as well as the working professionals. The most ordinary knowledge of IT concepts or networking is useful, but not required. We begin with the basics of clouds because the novices can easily follow. Higher students are also able to jump directly into the specialized modules.
Version IT training includes such certifications as AZ-900 (Fundamentals), AZ-104 (Administrator), and DP-203 (Data Engineering). Every session corresponds to Microsoft exam goals. Students are taken through exam oriented material by our certified trainers and practice questions. This will give improved chances of clearing at the first attempt.
Yes, we provide extensive placement services. These cover preparation of resume, interview practice workshops and career counseling. We do tie-ups with IT firms; and you are likely to get good-paying jobs. A good number of our students have procured cloud and data engineering employment opportunities in major MNCs.
Classroom training provides face-to-face, practical, and group-based training. Online training is offered to learners that require flexibility regarding conventional virtual sessions with a trainer. The two alternatives have the same curriculum and offer equal standards of education. You are free to use any format which is convenient to you.
The reason why Version IT is better is due to the qualified trainers, practical training and the course content being Microsoft aligned. We focus on practice and theory in our training. We are also interested in helping the learners to become such roles as Azure Data Engineer with placement assistance. This predisposes us as an esteemed career-oriented Azure training choice.
