Complex Many-to-many Relationships with Graph in SQL Server from Pluralsight

This course will teach you not only the fundamentals of graph theory, the terminology, and the problems that can be solved with graph, but will also teach you to immediately put into practice the feature set now available in Microsoft SQL Server.

With graph tables and queries you will be empowered to immediately gain insights and feel comfortable revealing the complex relationships buried in the natural world around us. If you have a good understanding of relational databases and are familiar with Microsoft SQL Server, this course will take you from “buzz word familiarity” to “ready to implement real world graph solutions” in about 90 minutes! In this course, Complex Many-to-many Relationships with Graph in SQL Server, you’ll learn to understand and implement real world solutions using graph tables and queries. First, you’ll explore the theories around graph databases, the terminology and unique concepts found in these types of data models, and the real world applications for this approach all around you. Next, you’ll discover how easy it is to build data models that store these complex many-to-many relationships, how SQL Server has automated and architected the connections and framework for you, the limitations of the past and where this technology is going, and how natural language makes modeling and visualizing these relationships far more simple than you might think. Finally, you’ll learn how to query your graph data assets to build powerful link chains, analysis, solutions and quick answers to very complex questions.. When you’re finished with this course, you’ll have the skills and knowledge of graph databases needed to understand graph theory across the industry, where graph fits in the many styles of data modeling and storage, and implement real world solutions with graph using Microsoft SQL Server!

What's inside

Syllabus

Course Overview

Many-to-many Relationships

Introducing Nodes and Edges

Creating and Querying Node and Edge Tables

Administering Graph Databases and Tables

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores graph theory concepts and terminology, providing a strong foundation for learners

Focuses on immediate practical application of concepts in Microsoft SQL Server, making it relevant for learners with a focus on SQL

Provides insights into the real-world applications of graph databases, highlighting their relevance across various domains

Introduces the automation and architectural features of Microsoft SQL Server for graph databases, simplifying implementation for learners

Career center

Learners who complete Complex Many-to-many Relationships with Graph in SQL Server will develop knowledge and skills that may be useful to these careers:

Human Resources Manager

A Human Resources Manager is responsible for managing the human resources of a business. This course may be useful for Human Resources Managers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Human Resources Managers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Marketing Manager

A Marketing Manager is responsible for developing and executing marketing campaigns. This course may be useful for Marketing Managers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Marketing Managers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Sales Manager

A Sales Manager is responsible for managing a team of sales representatives. This course may be useful for Sales Managers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Sales Managers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Data Scientist

A Data Scientist is responsible for developing and applying statistical and machine learning models to data. This course may be useful for Data Scientists who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Data Scientists make informed decisions about when to use graph databases and how to design and implement them effectively.

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Business Analyst

A Business Analyst is responsible for analyzing business processes and developing solutions to improve them. This course may be useful for Business Analysts who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Business Analysts make informed decisions about when to use graph databases and how to design and implement them effectively.

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Data Architect

A Data Architect is responsible for designing, building, and maintaining data systems. This course may be useful for Data Architects who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Data Architects make informed decisions about when to use graph databases and how to design and implement them effectively.

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Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. This course may be useful for Software Engineers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Software Engineers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Data Analyst

A Data Analyst is responsible for collecting, analyzing, and interpreting data. This course may be useful for Data Analysts who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Data Analysts make informed decisions about when to use graph databases and how to design and implement them effectively.

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Database Administrator

A Database Administrator is responsible for managing and maintaining databases. This course may be useful for Database Administrators who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Database Administrators make informed decisions about when to use graph databases and how to design and implement them effectively.

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Financial Analyst

A Financial Analyst is responsible for analyzing financial data and making investment recommendations. This course may be useful for Financial Analysts who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Financial Analysts make informed decisions about when to use graph databases and how to design and implement them effectively.

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Product Manager

A Product Manager is responsible for managing the development and launch of new products. This course may be useful for Product Managers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Product Managers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Operations Manager

An Operations Manager is responsible for managing the day-to-day operations of a business. This course may be useful for Operations Managers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Operations Managers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Quantitative Analyst

A Quantitative Analyst is responsible for using mathematical and statistical models to analyze financial data. This course may be useful for Quantitative Analysts who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Quantitative Analysts make informed decisions about when to use graph databases and how to design and implement them effectively.

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Risk Manager

A Risk Manager is responsible for identifying and mitigating risks. This course may be useful for Risk Managers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Risk Managers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Compliance Officer

A Compliance Officer is responsible for ensuring that a business complies with laws and regulations. This course may be useful for Compliance Officers who want to learn about using graph databases to store and query complex data relationships. The course covers the fundamentals of graph theory, the terminology and unique concepts found in these types of data models, and the real world applications for this approach. This knowledge can help Compliance Officers make informed decisions about when to use graph databases and how to design and implement them effectively.

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Complex Many-to-many Relationships with Graph in SQL Server

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