Getting started with Data Warehousing Course Overview

Getting started with Data Warehousing Course Overview

Getting Started with Data Warehousing is an essential course designed for those looking to understand the foundational aspects of data management. Throughout this course, participants will learn about data modeling, ETL processes, and data storage solutions. The key learning objectives include defining the purpose and architecture of data warehouses, understanding the differences between data warehouses and databases, and mastering how to design and implement effective data solutions.

Upon completion, learners will be equipped to apply these concepts in real-world scenarios, enhancing their ability to make informed decisions based on data. This course is perfect for aspiring data professionals eager to advance their careers in the IT landscape.

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1,550

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Course Fee 1,550
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1,550 (USD)
  • Live Training (Duration : 24 Hours)
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  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting 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 Getting started with Data Warehousing

Getting Started with Data Warehousing is designed to provide foundational knowledge and skills necessary for understanding data warehousing concepts and technologies, appealing to a diverse range of professionals.


  • Data Analysts
  • Business Intelligence Analysts
  • Data Engineers
  • Database Administrators
  • IT Project Managers
  • Software Developers
  • Data Scientists
  • Marketing Analysts
  • Financial Analysts
  • Students pursuing careers in Data Management
  • System Architects
  • Technical Consultants
  • Quality Assurance Engineers
  • Business Operations Managers


Learning Objectives - What you will Learn in this Getting started with Data Warehousing?

Introduction

The "Getting Started with Data Warehousing" course provides foundational knowledge of data warehousing concepts, essential for professionals aiming to understand data management and analytics for improved decision-making.

Learning Objectives and Outcomes

  • Understand the fundamental concepts and components of data warehousing.
  • Learn the differences between operational and analytical data systems.
  • Gain insights into data modeling techniques, including star and snowflake schemas.
  • Explore ETL (Extract, Transform, Load) processes and tools.
  • Discover data warehousing architecture and design practices.
  • Identify best practices for data governance and security in data warehouses.
  • Analyze data warehousing performance optimization strategies.
  • Develop skills to implement a simple data warehouse project.
  • Understand the lifecycles of data warehousing projects.
  • Explore industry trends and advancements in data warehousing technologies.

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