DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric Course Overview

DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric Course Overview

Unlock your potential with the DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric course offered by Koenig Solutions. This course is designed to equip you with the essential skills to design and implement data solutions effectively. Key learning objectives include mastering data integration, transformation, and storage using Microsoft Fabric. You’ll gain hands-on experience in managing data workflows, ensuring data quality, and leveraging advanced analytics tools. By the end of the course, you'll be able to apply these concepts to solve real-world data engineering challenges, making you a valuable asset in today’s data-driven landscape. Join us to enhance your expertise in data engineering and support your professional growth!

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1,450 (USD)
  • Live Training (Duration : 32 Hours)
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  • Includes Official Coursebook
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  • Live Training (Duration : 32 Hours)
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  • Classroom Training fee on request
  • Includes Official Coursebook

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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 DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric

DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric equips professionals with the skills to design and implement data engineering solutions, targeting individuals looking to optimize data handling and analytics processes.


  • Data Engineers
  • Data Architects
  • Business Intelligence Developers
  • Data Analysts
  • Cloud Solutions Architects
  • IT Professionals transitioning to data roles
  • Technical Project Managers
  • Database Administrators
  • Analytics Consultants
  • Software Developers with a focus on data integrations
  • Teams responsible for data-driven decision-making
  • Students pursuing a career in data engineering


Learning Objectives - What you will Learn in this DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric?

Introduction:
The DP-700 Implementing Data Engineering Solutions Using Microsoft Fabric course equips students with essential skills to design and implement data engineering solutions, focusing on leveraging Microsoft Fabric's tools and services for efficient data management.

Learning Objectives and Outcomes:

  • Understand the principles of data engineering and architecture.
  • Design data ingestion and transformation processes using Microsoft Fabric.
  • Implement data storage solutions suitable for various workloads.
  • Utilize Microsoft Fabric's analytics tools for data visualization and insights.
  • Ensure data governance and compliance in engineering solutions.
  • Optimize data pipelines for performance and reliability.
  • Integrate data from multiple sources into Microsoft Fabric.
  • Monitor and troubleshoot data workflows in Microsoft Fabric.
  • Collaborate with team members to develop comprehensive data solutions.
  • Explore best practices in data modeling within Microsoft Fabric.

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