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Azure Databricks Data Engineering Course Overview

Azure Databricks Data Engineering Course Overview

Unlock the power of data with our Azure Databricks Data Engineering course at Koenig Solutions. This comprehensive program focuses on essential topics like data integration, pipeline creation, and machine learning workflows within the Azure Databricks environment.

By the end of the course, you'll achieve clear learning objectives: mastering the art of data processing, enhancing data analytics skills, and developing robust data pipelines. You'll gain hands-on experience through practical applications, transforming theoretical concepts into real-world solutions. Whether you're a data analyst or aspiring engineer, this course equips you with valuable expertise to excel in today's data-driven landscape. Join us and elevate your career in data engineering!

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1,700

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Course Fee 1,700
Total Fees
1,700 (USD)
  • Live Training (Duration : 40 Hours)
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  • Classroom Training fee on request
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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Course Advisor

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Prem Nidhi Sharma

9+ Years Experience

An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience. 

 

I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.

My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.

In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.

I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.

 

Target Audience for Azure Databricks Data Engineering

Azure Databricks Data Engineering course equips professionals with the skills to efficiently process big data and build data pipelines using Databricks, making it ideal for data-driven roles.


  • Data Engineers
  • Data Analysts
  • Business Intelligence Analysts
  • Machine Learning Engineers
  • Data Scientists
  • Database Administrators
  • Cloud Solutions Architects
  • IT Professionals focusing on Data Management
  • Software Developers working with data applications
  • Product Managers in data-centric companies


Learning Objectives - What you will Learn in this Azure Databricks Data Engineering?

Azure Databricks Data Engineering Course Overview

The Azure Databricks Data Engineering course equips students with essential skills in data analytics and engineering, focusing on leveraging the power of Apache Spark and Azure Databricks for efficient big data processing.

Learning Objectives and Outcomes

  • Understand the fundamentals of Azure Databricks and its architecture.
  • Utilize Apache Spark for data processing and analysis.
  • Design and implement data pipelines on Azure Databricks.
  • Optimize Spark jobs for better performance and resource management.
  • Work with structured and semi-structured data formats.
  • Implement data ingestion and transformation using notebooks.
  • Conduct data exploration and visualization within Databricks.
  • Collaborate using Delta Lake for data reliability and performance.
  • Monitor and troubleshoot Spark applications effectively.
  • Secure data and manage access in Azure Databricks environments.

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