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Nikola Ilic

This course will teach you how to design optimal enterprise-scale data models to support efficient business decision-making.

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This course will teach you how to design optimal enterprise-scale data models to support efficient business decision-making.

You’ve built an enterprise data solution and now struggling with performance. In this course, Optimize Enterprise-scale Data Models - DP-500, you’ll learn to design optimal data models to support large enterprises. First, you’ll explore various areas for performance improvement. Next, you’ll discover how to leverage different external tools to fine-tune your data model. Finally, you’ll learn how to apply some advanced concepts, such as incremental refresh and denormalization. When you’re finished with this course, you’ll have a foundational understanding of performance optimization in Power BI that will enable you to design optimal enterprise-scale data models and get you ready for the DP-500 exam.

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What's inside

Syllabus

Course Overview
Identifying Performance Bottlenecks in Data Model
Optimizing Data Model Using Tabular Editor and VertiPaq Analyzer
Implementing Incremental Refresh and Denormalization
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills required for the DP-500 exam, highly sought after by professionals
Optimization of enterprise-scale data models is a common challenge
Foundations for performance optimization on Power BI
Provides a solid understanding of identifying performance bottlenecks
Taught by Nikola Ilic, a recognized expert in data modeling
Requires familiarity with Power BI and data modeling concepts

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Optimize Enterprise-scale Data Models - DP-500 with these activities:
Sharpen SQL Skills
Reinforce your ability to efficiently query data, which is essential for data modeling.
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  • Complete a series of SQL practice exercises.
  • Review SQL syntax and best practices.
  • Utilize an online SQL editor to practice writing queries.
Assemble Data Model Resources
Prior to taking this course, familiarize yourself with foundational concepts and tools you will need to be successful.
Browse courses on Data Modeling
Show steps
  • Review Power BI documentation on data modeling.
  • Install and explore the Tabular Editor and VertiPaq Analyzer tools.
Read "Enterprise Data Architectures"
Expand your knowledge of data architecture principles to support enterprise-scale data modeling.
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  • Read Chapters 1-3 to grasp the fundamentals of data architecture.
  • Focus on Chapter 5 for insights into enterprise data models.
Four other activities
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Complete Data Modeling Tutorials
Enhance your data modeling skills by following comprehensive tutorials.
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  • Identify relevant tutorials on reputable platforms like Microsoft Learn or Pluralsight.
  • Work through the tutorials step-by-step, implementing the concepts in Power BI or a similar tool.
Develop a Mini Data Model
Demonstrate your understanding by creating a miniature data model that adheres to best practices.
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  • Design a simple data model based on a given scenario.
  • Implement the model in Power BI or a similar tool.
  • Analyze the model's performance and identify potential optimizations.
Solve Data Modeling Challenges
Test your problem-solving abilities by tackling data modeling challenges.
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  • Access online platforms like LeetCode or HackerRank for data modeling problems.
  • Select problems that align with the course topics.
  • Attempt to solve the problems independently.
  • Review solutions and identify areas for improvement.
Assist Junior Data Modelers
Enhance your understanding by explaining concepts and providing guidance to junior data modelers.
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  • Identify opportunities to mentor junior data modelers through online forums or social media groups.
  • Provide support and guidance on their data modeling projects.
  • Share your knowledge and experiences to help them develop their skills.

Career center

Learners who complete Optimize Enterprise-scale Data Models - DP-500 will develop knowledge and skills that may be useful to these careers:
Data Architect Manager
A Data Architect Manager leads and manages a team of Data Architects responsible for designing and managing enterprise data systems. The DP-500 course will strengthen your Data Architect Manager skills by equipping you with advanced knowledge in data model optimization. By understanding performance bottlenecks and leveraging external tools for fine-tuning, you'll be able to guide your team in designing and implementing efficient and scalable data systems that meet the needs of the organization.
Data Architect
A Data Architect helps design and manage enterprise data systems. The DP-500 course can help advance your career as a Data Architect by teaching you how to optimize enterprise-scale data models for efficient business decision-making. Specifically, you'll learn how to identify performance bottlenecks, leverage external tools for fine-tuning, and apply advanced concepts like incremental refresh and denormalization.
Database Administrator
A Database Administrator manages and maintains database systems. The DP-500 course will enhance your Database Administrator skills by providing you with the knowledge to optimize data models for performance. By leveraging the techniques and concepts taught in the course, you'll be able to ensure that databases are running efficiently and delivering optimal performance, minimizing downtime and data loss.
Data Engineer
A Data Engineer designs, builds, and maintains data systems and infrastructure. The DP-500 course complements the skills of a Data Engineer by providing expertise in optimizing enterprise-scale data models. By understanding performance bottlenecks and leveraging advanced data modeling techniques, you'll be able to design and implement data systems that can handle large volumes of data efficiently, supporting complex data processing and analysis.
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data to provide insights that support business decision-making. The DP-500 course can benefit Business Intelligence Analysts by teaching them how to optimize data models for efficient data analysis. By understanding performance optimization techniques and advanced data modeling concepts, you'll be able to build data models that deliver accurate and timely insights, enabling better decision-making.
Enterprise Architect
An Enterprise Architect designs, plans, and implements technology solutions for an organization. The DP-500 course will give you a competitive edge in Enterprise Architecture by providing you with the skills to optimize enterprise-scale data models, a crucial aspect of designing and implementing enterprise technology solutions. The course's focus on performance optimization and advanced data modeling concepts will help you deliver robust and efficient data solutions that can support large enterprises.
Data Visualization Analyst
A Data Visualization Analyst designs and develops data visualizations to communicate insights effectively. The DP-500 course can enhance your Data Visualization Analyst skills by providing you with a deep understanding of data modeling concepts. By learning how to optimize data models for performance and efficiency, you'll be able to create data visualizations that are accurate, visually appealing, and easy to interpret, enabling effective communication of insights.
Data Scientist
A Data Scientist develops and applies statistical and machine learning models to solve business problems. The DP-500 course can provide a valuable foundation for Data Scientists by teaching them how to optimize data models for efficient data analysis. Understanding performance optimization and advanced data modeling concepts will enable you to create robust and reliable data models that can support complex data science projects.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to support decision-making. The DP-500 course can enhance your Data Analyst skills by teaching you how to design optimal data models that support efficient data analysis. By understanding performance optimization techniques and advanced data modeling concepts, you'll be able to build data models that deliver accurate and timely insights, enabling better decision-making.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The DP-500 course may be useful for Software Engineers who want to gain a deeper understanding of data modeling concepts and performance optimization. By understanding how data models are structured and optimized, you'll be better equipped to develop software applications that are efficient, reliable, and scalable.
Database Developer
A Database Developer designs, develops, and maintains databases. The DP-500 course may be useful for Database Developers who want to gain a deeper understanding of data modeling concepts and performance optimization. By understanding how data models are structured and optimized, you'll be better equipped to design and implement databases that are efficient, reliable, and scalable.
Data Privacy Analyst
A Data Privacy Analyst ensures that an organization's data is collected, used, and stored in compliance with regulations and best practices. The DP-500 course may be useful for Data Privacy Analysts who want to gain a deeper understanding of data modeling concepts and performance optimization. By understanding how data models are structured and optimized, you'll be better equipped to assess and mitigate data privacy risks.
Data Governance Analyst
A Data Governance Analyst develops and implements policies and procedures to ensure the effective and ethical use of data. The DP-500 course may be useful for Data Governance Analysts who want to gain a deeper understanding of data modeling concepts and performance optimization. By understanding how data models are structured and optimized, you'll be better equipped to develop data governance policies and procedures that promote data quality, integrity, and compliance.
Cloud Architect
A Cloud Architect designs and manages cloud computing solutions. The DP-500 course may be useful for Cloud Architects who want to gain a deeper understanding of data modeling concepts and performance optimization in the cloud. By understanding how data models are structured and optimized, you'll be better equipped to design and implement cloud-based data solutions that are efficient, scalable, and cost-effective.
Technical Project Manager
A Technical Project Manager plans, executes, and delivers technology projects. The DP-500 course may be useful for Technical Project Managers involved in data-related projects. By understanding data model optimization techniques and advanced data modeling concepts, you'll be better equipped to manage projects that involve data systems and data analysis.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Optimize Enterprise-scale Data Models - DP-500.
This classic work on data warehousing provides a comprehensive overview of dimensional modeling, the foundational concept for designing data models for business intelligence. It offers a step-by-step guide to creating and managing data warehouses and explores advanced topics such as data integration, performance tuning, and security.
Practical guide to data modeling with Power BI. It provides step-by-step instructions on how to create and manage data models. It great resource for anyone who wants to learn how to design efficient data models for Power BI.
Provides a comprehensive overview of big data technologies and best practices. It covers topics such as data storage, data processing, and data analytics, and offers practical guidance for building and managing scalable real-time data systems.
Practical guide to using Power BI for data analysis. It covers a wide range of topics, from data modeling to visualization. It great resource for anyone who wants to learn how to use Power BI to analyze data.
Collection of recipes for solving common Power BI problems. It covers a wide range of topics, from data modeling to visualization. It great resource for anyone who wants to learn how to use Power BI to solve real-world problems.
Practical guide to using Power BI for business users. It covers a wide range of topics, from data modeling to visualization. It great resource for anyone who wants to learn how to use Power BI to create reports and dashboards.
Gentle introduction to Power BI. It great resource for anyone who is new to Power BI and wants to learn the basics.
Provides an overview of the analytical tools and techniques used by McKinsey & Company, one of the world's leading management consulting firms. It offers practical guidance for solving business problems and making data-driven decisions.
Provides a practical guide to using data to make better decisions in both personal and professional life. It covers topics such as data collection, data analysis, and data visualization, and offers practical tips and techniques for making data-driven decisions.
This accessible guide provides a practical introduction to Tableau, a popular data visualization and analysis tool. It covers topics such as data preparation, data visualization, and data analysis, and offers hands-on practice exercises for creating interactive data visualizations.

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