- Basics of Cloud Computing
- Azure Account Creation
- Microsoft Azure Cloud Portal Overview
- Azure Governance Mechanism (Management Groups, Subscription, Resource Groups)
- Virtualization
- Encryption
- Azure Virtual Machines, Keypair, Azure Disks
- Azure Storage Account
- Benefits of Storage Account
- Azure Storage Replication Types
- Azure Data Migration
Become an Azure Data Engineer (DP-203).
Unlock the power of data with Azure's cutting-edge tools and technologies.
Master Azure Data Engineering from scratch
Launch Offer | 50% OFF for First 100 Enrollments
₹ 44,000 ₹22,000
Our Partners
1 year course access with deep insights from Azure Master Cloud Architects including all materials (PDF +Books) and Hands on Labs
2 months course with proven Tips & Techniques to Land a Cloud Engineer Job with industry leading brands
Our Exclusive training strategy will help to learn how to deal with industry professionals after landing your JOB as an Azure Engineer.
Guidance on how to Clear Azure Cloud Certifications and Free Roadmap for every individual
THIS COURSE IS FOR YOU IF ?
Why Become a Azure Data Engineer?
Unlock a rewarding career in one of the most in-demand fields of the digital age
🚀 Strong Career Prospects
High demand across various industries with continuous growth opportunities
💸 High Earning Potential
Competitive salaries reflecting the critical role in modern business operations
🔧 Foundational Role
Essential skills for building and maintaining data infrastructure
💼 Impact on Business Success
Enable data-driven decision-making and business growth
Ready to Start Your Journey?
Take the first step toward becoming a skilled Data Engineer and unlock endless career possibilities
If you answered yes to any or all of the above, this program is for you!
Become an Azure Data Engineer
Optimizing Big Data Processing on Azure Synapse Analytics
To optimize big data processing, focus on techniques like partitioning large datasets, leveraging indexed views, and utilizing materialized views to reduce query times. Additionally, ensure efficient data distribution by using round-robin, hash, or replicated distribution methods to enhance parallel processing and minimize data shuffling. Also, take advantage of SQL pool performance tuning features such as cached queries and query optimization hints to speed up processing and improve overall performance in large-scale environments.
Mind Map for Azure Data Engineer
COURSE CONTENT
16
SECTIONS
50
LECTURES
50
HOURS TOTAL
10
HOURS HANDS-ON LAB ON ORACLE CLOUD
MODULE 1: Azure Administrator Basics
MODULE 2: Non-Relational Data Stores and Azure Data Lake
- Non-Relational Data Stores
- Storage
- Document data stores
- Columnar data stores
- Key/value data stores
- Graph data stores
- Time series data stores
- Object data stores
- External index
- Why NoSQL or Non-Relational DB?
- When to Choose NoSQL or Non-Relational DB?
- Azure Data Lake Storage
MODULE 3: Data Lake and Azure Cosmos DB
- Data Lake Key Concepts
- Azure Cosmos DB
- Why Azure Cosmos DB?
- Azure Blob Storage
- Why Azure Blob Storage?
- Data Partitioning
- Why Partitioning Data?
- Consistency Levels in Azure Cosmos DB
MODULE 4: Relational Data Stores
- Introduction to Relational Data Stores
- Azure SQL Database
- Why SQL Database Elastic Pool?
- Why Azure SQL?
- Azure SQL Security Capabilities
- High-Availability and Azure SQL Database
- Azure Database for MySQL
- Azure Database for PostgreSQL
- Azure Database for MariaDB
- What is PolyBase?
- What is Azure Synapse Analytics?
MODULE 5: Azure Batch
- What is Azure Batch?
- Intrinsically Parallel Workloads
- Tightly Coupled Workloads
- Additional Batch Capabilities
- Working of Azure Batch
MODULE 6: Azure Data Factory
- Flow Process of Data Factory
- Why Azure Data Factory
- Integration Runtime in Azure Data Factory
- Mapping Data Flows
MODULE 7: Azure Data Bricks
- What is Azure Databricks?
- Azure Spark-based Analytics Platform
- Apache Spark in Azure Databricks
MODULE 8: Azure Stream Analytics and Monitoring & Security
- Azure Stream Analytics
- Working of Stream Analytics
- Key capabilities and benefits
- Stream Analytics Windowing Functions
- Monitoring & Security
- What is Azure Monitor?
- What data does Azure Monitor collect?
- What can you Monitor?
- Alerts in Azure
- Azure Security Logging & Auditing
Hands-On Lab Overview
- Creating and managing Resource Groups in Azure
- Setting up Virtual Networks (VNet) and Subnets in Azure
- Configuring Route Tables and Network Security Groups (NSG)
- Creating and managing Firewall Rules for secure data access
- Implementing Azure Private Link and Service Endpoints
- Configuring Azure Virtual Network Gateway, ExpressRoute, NAT Gateway
- Provisioning Azure Virtual Machines (VMs) and analyzing available SKUs
- Connecting to Azure VMs from Windows and Linux machines
- Managing SSH Keys, Passwords, and Role-Based Access Control (RBAC)
- Starting, stopping, and scaling Azure VMs via Azure Portal, CLI, and API
- Migrating Compute Resources across Resource Groups and Regions
- Setting up Azure Managed Disks, Snapshots, and Backups
- Configuring and managing Azure Blob Storage, Data Lake, and File Storage
- Uploading and downloading data to/from Azure Storage Accounts
- Implementing Backup and Restore strategies for data resiliency
- Creating and managing Azure Policies, Users, and Role Assignments for security and compliance
Bonuses with this course
Group Live Q&A Sessions
1 Year Learning Access
Cloud Community Access
AZURE Cloud Free hands on lab
Azure Data Engineer Associate certification (DP-203).
100% Money Back guarantee
WHO SHOULD TAKE THIS COURSE?
📌 Aspiring Data Engineers
If you are new to the field of data engineering and want to learn how to build, manage, and optimize cloud-based data systems, this course is ideal for you
📌 Software Engineers Transitioning to Data Engineering
If you have a background in software development and wish to transition into data engineering roles, this course will help you gain the specific cloud and data management skills needed for success.
📌 Cloud and Database Professionals
If you already work with cloud platforms or database management and want to upgrade your skills to Azure Cloud, this course provides an in-depth focus on Azure’s data engineering ecosystem.
📌 Data Analysts and Data Scientists
If you are already working with data but want to expand your knowledge on data pipelines, cloud storage, and data processing frameworks, this course will help bridge the gap.
📌 Database Administrators (DBA's)
If you are a DBA and want to transition from traditional database management to cloud-based data solutions, this course will provide you with the skills to manage and optimize Azure data environments.
📌 Business Intelligence (BI) & ETL Developers
If you're involved in data extraction, transformation, and loading (ETL) processes, this course will teach you how to scale these processes in Azure and apply cloud-native tools.
About the Program – Azure Data Engineer Cloud Skill Journey
📌 Expert Mentorship & Career Support: Get personalized guidance from experienced Azure data engineers to navigate the field and secure your ideal job.
📌 Comprehensive Learning Path: Master Azure data engineering with a structured path, from cloud fundamentals to advanced skills in building, managing, and optimizing data solutions.
📌 Security & Compliance: Ensure data security and meet compliance standards using Azure's robust tools and best practices for data protection.
📌 Innovation in Azure Data Engineering: Drive business transformation by using cutting-edge Azure tools to innovate and build scalable, high-performance data solutions.
📌 Cost Optimization: Leverage Azure's tools and strategies to optimize costs while maintaining performance and scalability in your data engineering solutions.
Get Azure Certified
Yes! You will get a course completion certificate from Exaguru but we urge to complete Oracle Certification from Oracle University for which guidance will be provided in the course.
User Stories
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Oracle Cloud Architect Challenge 45 Days
Meet Your Instructor
Arya
Freelance Cloud Architect , Azure Expert
Arya Trainer is a distinguished expert in Azure Data Engineering with extensive experience training professionals for the Microsoft Certified: Azure Data Engineer Associate certification (DP-203).
With a deep understanding of Azure's data ecosystem, Arya specializes in helping candidates master the critical skills needed to design, build, and optimize Data solutions on the Microsoft Azure platform.
Arya's comprehensive training approach covers all aspects of the certification, including:
- Designing and implementing Data storage solutions using services like Azure Data Lake, Azure Synapse Analytics, and Azure Cosmos DB
- Developing robust data processing pipelines with Azure Data Factory and Azure Data bricks
- Implementing security best practices and optimization techniques for enterprise-level data architectures
- Transforming raw data into actionable insights using Azure's analytics tools
Known for combining theoretical knowledge with hands-on practical exercises, Arya empowers students to apply Azure data engineering concepts in real-world scenarios. Arya's training programs boast exceptional pass rates and have helped numerous professionals advance their careers in the growing field of cloud data engineering.
With a proven track record of successful projects and a passion for knowledge sharing, Arya is dedicated to helping organizations and individuals master Azure data solutions, implement best practices, and achieve their cloud transformation goals. His ability to simplify complex concepts and provide actionable insights makes her a sought-after trainer and consultant in the rapidly evolving field of data engineering.
Frequently Asked Questions [FAQ's]
An Azure Data Engineer designs and implements data solutions on Microsoft Azure. They work with cloud-based data storage, data processing, and analytics tools to build and manage scalable, efficient data pipelines and systems.
While some knowledge of databases, cloud concepts, or programming is beneficial, you don’t need to be an expert. This course is designed to take you from the basics to advanced data engineering skills on Azure.
The training duration is 8-10 weeks, with sessions every starting from Mon to Friday 1 hours at specified timings.
You will learn how to build and manage data pipelines, optimize big data processing, implement real-time data analytics, work with Azure Data Factory, Synapse Analytics, and Azure SQL Database, and ensure data security and governance.
Yes, the course includes practical, real-world projects and hands-on labs, allowing you to work with Azure tools like Data Factory, Synapse, Data Lake, and more to apply your learning to actual data engineering tasks.
You're never too old to learn! Embrace the opportunity to improve yourself and excel in new skills.
Yes, the program includes hands-on real-time projects to enhance your skills for higher-paying job opportunities.
Expert assistance is provided for CV creation, interview preparation, and sample CVs to align with current job market requirements.
The program includes data ingestion and ETL pipelines using Azure Data Factory, big data processing with Azure Synapse Analytics and Apache Spark, data storage solutions like Azure Data Lake and Blob Storage, real-time analytics with Azure Stream Analytics, data security, governance, and performance optimization techniques. .
Yes, the course provides specially curated step-by-step hands-on lab documents for practice.
A 100% money-back guarantee is offered if desired results are not achieved after following the training program requirements.
Assistance is provided in connecting students with prospective employers, CV preparation, interview guidance, and project work/labs as part of the training. While placements are not guaranteed, diligent completion of the course can enhance job prospects.
Arya , who is an expert in Azure Data Engineering and has helped more than 300+ students till date.
Absolutely! Practical hands-on labs are included in the training to provide real-world experience. These experiences can be added to your resume for higher-paying job opportunities. Additionally, you'll receive help with CV & interview preparation and 1-year on-job support.
Recorded videos of LIVE sessions are available for flexible learning. With lifetime access to the training portal and the option to retake the course for free, you can learn at your own pace.
Investing in training can lead to significant career opportunities. Personal experience shows that investing in learning resulted in lucrative job offers.
Dedicated support through a WhatsApp group, Ticketing System, and live expert trainer sessions are provided for any queries during the learning journey.
Check out the success stories of past customers for motivation: Our Success Stories
Refund Policy
96-Hours, 100% Risk-Free Guarantee
