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Azure Data Engineering Training in Chennai

Enhance your career with Aimore's Azure Data Engineering Training in Chennai. We offer a 100% job guarantee backed by robust industry connections.
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Aimore’s Data Engineering Course in Chennai

Data Engineering is primarily concerned with developing the infrastructure required for effective data storage, collection, distribution, and transformation, which are vital for analytics, decision-making, and machine learning processes. Azure's extensive range of data services and frameworks enables you to produce refined, clean datasets that are ready for comprehensive analysis.

As an Azure Data Engineer, you play an integral role in deriving insights through data exploration while ensuring the integrity and security of data processing pipelines. Our Data Engineering Training Institute in Chennai will guide you through the various data platform technologies and demonstrate how Data Engineers can leverage these tools to benefit an organisation.

Our Azure Data Engineering Training in Chennai covers all essential aspects of designing a cloud-based, scalable data platform that meets diverse development needs. Aimore’s Azure Data Engineering course offers practical training with advanced tools such as foundational Python, Transact-SQL, and Azure Data Factory. You will engage in real-world industry scenarios to enhance your practical skills and knowledge. Our training sessions are tailored to provide you with the skills necessary to thrive in this dynamic sector.

100% Placement Guaranteed! Enrol in Our Azure Data Engineering Course Today!

Features of Our Azure Data Engineering Training

Hands-On Experience
Apply your theoretical knowledge and enhance your hands-on skills by tackling real-life industry projects and addressing complex data engineering challenges.
Personalised Learning
Customise your educational experience with modules tailored to different skill levels and career goals, offering flexible learning trajectories.
Expert-Led Training
Benefit from the expertise of certified Azure professionals who offer comprehensive insights, industry best practices, and practical advice throughout the course.
Skill Development
Acquire vital skills in the construction, optimisation, and design of data pipelines to fulfil business needs and bolster data-driven decision-making.
Continuous Feedback
Progress through regular assessments and receive constructive feedback to ensure your proficiency in Azure Data Engineering concepts.
Collaborative Environment
Participate in a dynamic learning community, exchange ideas, engage in group discussions, and interact with peers to enhance your understanding and learning outcomes.

Upcoming Data Engineering Batches

Weekdays 1 hr / day 9 AM to 9 PM 30 Days ONLINE/OFFLINE Enrol Now
Weekends 4 hrs 9 AM to 9 PM 4 Weeks ONLINE/OFFLINE Enrol Now

Be an Azure Expert

Secure your spot for Data Engineering Training today and embark on the path to a successful career in data engineering!
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Eligibility Criteria for Joining Aimore’s Data Engineering Course

To enrol in Aimore’s Azure Data Engineering course, candidates should possess a foundational knowledge of cloud computing and data management. A basic understanding of SQL, data warehousing, and databases is crucial. Proficiency in programming languages such as Java or Python is recommended, along with experience utilising data processing tools and techniques.

A background in data analysis or involvement in data-related projects will prove beneficial. Familiarity with core Azure services, especially those concerning data processing and storage, is essential for comprehending the course content effectively. Experience with ETL (Extract, Transform, Load) processes, data warehousing, and fundamentals of cloud computing will also aid in your learning. Moreover, a strong interest in data analysis and problem-solving will enhance your experience in this thorough training program.

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What You'll Learn

Data Engineering Domain
Data Engineering Lifecycle
Azure Data Bricks
Azure Cosmos DB
Azure Synapse Analytics
Azure Data Lake Storage
Azure Data Factory

Azure Data Engineering Course Syllabus

  • Introduction to Cloud Computing - Azure
  • Types of cloud, Cloud services
  • Azure Portal Explore – Various Services
  • Azure Storage Services
  • Azure Accounts – Subscription, Resources, Management
  • Blob Storage , Azure SQL server – Introduction, Evolution of Storages, and creation in Portal
  • Azure Data Lake vs Blob
  • Stages of Data Processing
  • Azure Data Factory – Introduction, Why ADF?
  • ADF Architecture
  • Data Factory Components
  • Working of ADF
  • ADF Creation
  • Integration RunTime
  • DataSets, LinkedServices
  • Triggers
  • ARM Templates
  • Linked Services - Authorization
  • Creation of Linked Services & Datasets
  • Brief introduction to CI/CD
  • Parameters & Variables
  • Data Movement Activities
  • Control Flow Activities
  • Creation of Pipelines
  • Scenario – Copy /Move Data by building pipelines [4 Possible Scenarios]
  • Move Files from ADL’s to Azure SQL Server
  • Mapping Data Flows
  • Azure Functions
  • Working with Azure Functions (different pattern)
  • Invoke Azure Function through ADF Pipeline
  • ADF Mapping Data Flows VS Azure Data Bricks
  • Connecting ADF & ADB
  • Why Azure Data Bricks?
  • Understanding Spark – Brief Introduction
  • How Spark Works?
  • Exploring ADB Workspace
  • Clusters, Cluster Pool, Data Bricks Runtime
  • Cluster Creation
  • Data Bricks File System (DBFS)
  • Note book Creation & Manipulation
  • Mounting ADL’s in ADB
  • RDD, DataFrame, Datasets
  • Lazy Evaluation Spark
  • What is a DataFrame? Creating 1st DataFrame
  • Introduction to Pyspark
  • Pyspark API Functions – Transformation
  • Slowly Changing Dimensions , Types
  • Fact & Dimensions – Brief Introduction
  • Understanding Various File Formats
  • Parquet & Avro Format
  • Narrow & Wide Transformation
  • Transformation with frequently used Data Frame API Methods
  • Difference between Pyspark & Pandas DF
  • Pyspark to Pandas & Pandas to Pyspark
  • User Defined Functions
  • Analytic Functions in Pyspark
  • Slowly Changing Dimensions
  • Scheduling of Notebooks
  • Exploring GIT
  • Creating Feature Branch
  • Merging with Master
  • CI/CD with ADF & ADB
  • Work Flows From END to END
  • Layers of Data Handling
Project [End to End] – Supply Chain
Download Syllabus
Benefits of Aimore’s

Azure Data Engineering Certification

Professional Development
Obtaining an Azure Data Engineering certification from Aimore can propel you into high-demand roles in cloud data management and analytics. Employers seek out professionals versed in Azure data services and frameworks.
Practical Training
Gain from an immersive learning experience, offering industry-aligned, practical skills through real-world applications and hands-on projects. You get to master complex data engineering tasks with Azure tools such as Databricks and Data Factory.
Advanced Curriculum
Utilise our rigorously designed curriculum, which integrates the latest innovations and best practices in Azure Data Engineering. From core Azure services to sophisticated data processing techniques, our course equips you with vital skills.
International Certification
Achieve a globally recognised certification in Azure Data Engineering. This certification not only validates your skills but also enhances your marketability and professional standing in the competitive technology sector.
Flexible Learning
Aimore values the importance of flexible learning arrangements. We offer online training in Azure Data Engineering, providing adaptable scheduling and remote access to resources, allowing you to learn at your convenience from any location.
Career Support
Benefit from our guaranteed 100% job placement program, tailored to match your skills and career ambitions. Our extensive guidance and support prepare you to confidently start your career in data engineering.

Excel in Data Engineering

Join Aimore today to acquire the expertise and skills essential for success in the dynamic field of data engineering.
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Frequently Asked Questions

Participants in this course will learn to design and implement data solutions using Azure services such as Azure Databricks, Azure SQL Database, and Azure Data Factory. This training equips you with the practical skills necessary for real-world data engineering tasks.

Azure Data Engineering involves managing data exploration for stakeholders and maintaining secure, compliant data processing pipelines using various tools and techniques. This role includes utilising Azure data services and frameworks to cleanse, enhance, and store datasets for analysis, covering all necessary aspects to develop a successful cloud-based platform. Azure Data Engineering is recognised as a rapidly emerging technology in the field.
According to Indeed, the national average salary for a Data Engineer in India is approximately INR 10,49,170 per year. Those in Chennai earn slightly more, at around INR 10,61,159 LPA.

Azure Data Engineers are essential for deploying, managing, and designing cloud services on the Microsoft Azure platform, ensuring optimal scalability, security, and performance. Their responsibilities include:

  • Data Quality Assurance
  • Data Modeling
  • Data Storage and Management
  • Machine Learning
  • Database Security
  • ETL Process Optimization
  • Data Warehouse Maintenance and Development
  • Maintaining and Building Data Infrastructure
  • Creating Innovative Azure Solutions

Aimore's Azure Data Engineering course is perfect for:

  • Professionals eager to advance in Azure Data Engineering.
  • Software engineers interested in specialising in cloud-based data solutions.
  • Individuals seeking Azure certification in Data Engineering.
  • Recent graduates aspiring to a career in data engineering with Azure expertise.
Yes. Aimore offers a 100% placement guarantee once you complete the Data Engineering course.
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