We may earn an affiliate commission when you visit our partners.
CodeMash
Data in the real world is naturally connected, but traditional data modeling focuses on entities which can cause for complicated joins of naturally connected data. That is where graph databases come in. Graph databases store data in a way that is more similar to what occurs naturally in the real world. There is a lot of talk about using graph databases for social networks, recommendation engines, and Internet of Things (IoT), but using graph databases can also make a lot of sense when working with common business data problems. In this conference talk, Chad Green will help you gain a better understanding of what graph databases...
Read more
Data in the real world is naturally connected, but traditional data modeling focuses on entities which can cause for complicated joins of naturally connected data. That is where graph databases come in. Graph databases store data in a way that is more similar to what occurs naturally in the real world. There is a lot of talk about using graph databases for social networks, recommendation engines, and Internet of Things (IoT), but using graph databases can also make a lot of sense when working with common business data problems. In this conference talk, Chad Green will help you gain a better understanding of what graph databases...
Read more
Data in the real world is naturally connected, but traditional data modeling focuses on entities which can cause for complicated joins of naturally connected data. That is where graph databases come in. Graph databases store data in a way that is more similar to what occurs naturally in the real world. There is a lot of talk about using graph databases for social networks, recommendation engines, and Internet of Things (IoT), but using graph databases can also make a lot of sense when working with common business data problems. In this conference talk, Chad Green will help you gain a better understanding of what graph databases are, show you how to use the Gremlin API within Azure Cosmos DB to traverse such data structures, and demonstrate practical examples to common data problems.
Register for this course and see more details by visiting:
OpenCourser.com/course/thvq6w/common
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Targeted to learners who want to solve common business data problems, making it useful for professionals in a variety of industries
Provides practical examples of how to use graph databases to solve real-world problems
Taught by Chad Green, an expert in the use of graph databases
Involves using the Gremlin API within Azure Cosmos DB, which is a popular graph database platform
Useful for learners who want to gain a better understanding of graph databases and their applications
Requires learners to have some familiarity with data modeling and database concepts
Save this course
Save Common Data Problems Solved with Graphs: CodeMash to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Common Data Problems Solved with Graphs: CodeMash.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Common Data Problems Solved with Graphs: CodeMash will develop knowledge and skills
that may be useful to these careers:
Database Designer
Database Designer
Database Designers create and maintain the structure of databases, ensuring data is stored and organized efficiently. This course provides a foundation for this role by teaching how to use graph databases to store and retrieve data in a way that models real-world relationships.
Data Architect
Data Architect
Data Architects design and implement data management solutions, working with stakeholders to understand their needs and develop a data strategy. This course teaches how to use graph databases to store and retrieve data. This knowledge is useful for designing and implementing data solutions that handle complex and interconnected data.
Data Engineer
Data Engineer
Data Engineers design and implement data pipelines that move data from source systems to data warehouses and other data stores. This course provides a foundation in using graph databases and the Gremlin API to store and retrieve data. This knowledge can be useful for designing and implementing data pipelines that handle complex and interconnected datasets.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses, working with stakeholders to understand their needs and develop a data strategy. This course teaches how to use graph databases to store and retrieve data. This knowledge is useful for designing and implementing data warehouses that handle complex and interconnected data.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course helps build a foundation for this role by providing an understanding of how to use graph databases to store and retrieve complex and interconnected datasets.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. The insights they provide can be used to make informed business decisions. This course teaches how to use graph databases to store and retrieve data, which can be useful for analyzing complex and interconnected datasets. This skill is in high demand for Data Analysts working with big data.
Information Architect
Information Architect
Information Architects design and organize information systems, working with stakeholders to understand their needs and develop solutions. This course teaches how to use graph databases to store and retrieve data. This knowledge is useful for designing and organizing information systems that handle complex and interconnected data.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts gather and analyze data to identify trends and patterns. The insights they provide can be used to make informed business decisions. This course teaches how to use graph databases to store and retrieve data, which can be useful for analyzing complex and interconnected datasets. This skill is in high demand for Business Intelligence Analysts working with big data.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design business systems, working with users and stakeholders to understand their needs and develop solutions. This course teaches how to use graph databases to store and retrieve data. This skill is useful for analyzing and designing business systems that handle complex and interconnected data.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. This course provides a foundation for this role by teaching how to use graph databases to store and retrieve data in a way that models real-world relationships. This knowledge is applicable to building software systems that handle complex and interconnected data.
Database Administrator
Database Administrator
Database Administrators oversee all database management operations, which include database design, database security, storage management, maintenance, and performance tuning. This course helps build a foundation for this role by providing an understanding of how to store and retrieve data using graph databases and the Gremlin API. This can be useful for managing complex and interconnected datasets commonly found in enterprise environments.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course may be useful for Machine Learning Engineers who need to use graph databases to store and retrieve data for training and deploying machine learning models.
Data Science Manager
Data Science Manager
Data Science Managers lead teams of data scientists and oversee data science projects. This course may be useful for Data Science Managers who need to understand how to use graph databases to store and retrieve data for data science projects.
Product Manager
Product Manager
Product Managers lead the development and launch of new products and features. This course may be useful for Product Managers who need to understand how to use graph databases to store and retrieve data for product development and marketing.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals, white papers, and knowledge base articles. This course may be useful for Technical Writers who need to document how to use graph databases and the Gremlin API to store and retrieve data.
For more career information including salaries, visit:
OpenCourser.com/course/thvq6w/common
Reading list
We haven't picked any books for this reading list yet.
Save
Provides a comprehensive overview of graph databases, covering the basics of graph theory, different types of graph databases, and how to use them effectively.
Save
Provides a step-by-step guide to using Neo4j, one of the most popular graph databases.
Save
Provides a simplified approach to the topic of graph databases, ideal for beginners or non-technical readers.
Explores the theoretical foundations of graph theory, providing a solid understanding of graph structures and algorithms.
Provides a detailed examination of graph algorithms and their applications, particularly in the context of computer science.
This practical guide focuses on using the Python programming language to work with graph databases, specifically Neo4j.
This beginner-friendly guide provides a clear and concise introduction to graph databases, making it accessible to individuals with no prior knowledge.
Collection of recipes for solving common problems with Azure Cosmos DB. It covers a wide range of topics, including data modeling, performance tuning, and security. The author is an Azure Cosmos DB engineer at Microsoft, and he provides practical advice and best practices.
Does a good job in providing a thorough introduction to data modeling and database design. It describes the different data modeling techniques and provides a step-by-step guide on how to create a data model. It is helpful for those who want to learn the basics of data modeling and database design and how to apply them in practice.
Quick and easy beginner's guide to data modeling that explains the fundamentals in a simple way. Through practical examples, it describes the different types of data models and how to use them.
Covers the basics of data modeling and database design. It starts with an introduction to data modeling and then covers the different types of data models and how to use them. Finally, it discusses how to design and implement a database.
Provides a practical approach to data modeling. It does not go too much into the theoretical details but instead focuses on providing a step-by-step guide on how to create a data model. It covers the different types of data models and how to use them, as well as how to design and implement a database.
Is not a beginner's guide; rather, it deals with deeper topics within data modeling and database design. It covers advanced topics such as dimensional modeling, data warehousing, and performance tuning with real-world case studies.
Focuses on data modeling using Microsoft SQL Server 2012. It covers the different features of SQL Server 2012 that can be used for data modeling, such as the new table types and columnstore indexes. It also provides a step-by-step guide on how to create a data model in SQL Server 2012.
Save
Focuses on data modeling using Oracle. It covers the different features of Oracle that can be used for data modeling, such as the new table types and columnstore indexes. It also provides a step-by-step guide on how to create a data model in Oracle.
Focuses on data modeling using MongoDB. It covers the different features of MongoDB that can be used for data modeling, such as the new table types and columnstore indexes. It also provides a step-by-step guide on how to create a data model in MongoDB.
Is an introduction to data modeling with UML. It covers the different types of UML diagrams and how to use them to create a data model. It also provides a step-by-step guide on how to create a data model using UML.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/thvq6w/common
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Via
Pluralsight
Instructor
CodeMash
This course belongs to a
collection
called
CodeMash Conference 2020. It's comprised of 94 courses:
- Event Processing without Breaking Production: CodeMash
- Bringing Order to Chaos: CodeMash
- Finding Service Boundaries: CodeMash
- API Gateways and Microservices: CodeMash
- Vertical Slice Architecture: CodeMash
- Killing REST and Adopting RPC: CodeMash
- 5 Ideas For Writing Better Cloud Native Microservices: CodeMash
- Going Crazy with CQRS: CodeMash
- Cosmic Full-Stack a Blazor, ML.NET, and CosmosDB Mashup: CodeMash
- Quantum Computing Deep Dive: CodeMash
- What Building Architecture Can Teach Us About Software Architecture: CodeMash
- You Version Your Code, Why Not Your Database: CodeMash
- A .NET Data Access Layer You're Proud of: CodeMash
- API Design for ETL: CodeMash
- Common Data Problems Solved with Graphs: CodeMash (viewing)
- What Time Is It Anyway: CodeMash
- Learning R through Sports, or Learning Sports through R: CodeMash
- Creating a Chess AI That Can Beat You: CodeMash
- DevOps as a Force Multiplier for Agile: CodeMash
- Automating Your Automation: CodeMash
- Creating Container Images with Cloud Native Buildpacks: CodeMash
- A Developer's Introduction to Electronics: CodeMash
- Assembly Language: The (Sega) Genesis of Programming: CodeMash
- Open Source XAML Takes You Places: CodeMash
- Building Mobile Applications with the Ionic Framework: CodeMash
- What's New in Xamarin Forms 4.0: CodeMash
- Taking Control of Errors in Swift: CodeMash
- How to Get Started with Swift in 2020: CodeMash
- Android: A Peek under the Hood: CodeMash
- One Codebase, Many Screens - Flutter in a Nutshell: CodeMash
- Kotlin for C# Developers: CodeMash
- A Mobile App Success Starter Pack: CodeMash
- Practical Functional Programming: CodeMash
- The Immutable Laws of Software and Life: CodeMash
- Machine Learning on the Cheap and without a PhD in Math: CodeMash
- Hold up, Wait a Minute, Let Me Put Some Async In It: CodeMash
- Solving the Boolean Identity Crisis: CodeMash
- Unit Testing Strategies and Patterns in C#: CodeMash
- Python, The World Beyond Scripting: CodeMash
- Test-driven Development: CodeMash
- Everything I Needed to Know About Debugging I Learned in Elementary Physics: CodeMash
- The Best Code Is the Code Never Written: CodeMash
- Git Back to Basics: CodeMash
- Hobby Projects Are Awesome: CodeMash
- Antifragile Teams: CodeMash
- Will the Real "Women in Tech" Please Stand Up: CodeMash
- Document Yourself: A Framework for Career Advancement: CodeMash
- Hiring, Firing, and Inspiring an Exceptional Team: CodeMash
- Communicating Code to Business Stakeholders: CodeMash
- Technical Leadership 101: CodeMash
- Conducting Humane Code Reviews: CodeMash
- Public Speaking For Engineers: CodeMash
- The Art of Delivering Quality Software Quickly: CodeMash
- Dealing with Disagreement: CodeMash
- How to Recognize and Avoid Programmer Burnout: CodeMash
- Coaching and Communicating with Diverse Teams: CodeMash
- The Hows and Whys of Podcasting in 2020: CodeMash
- Threat Modeling on the Family Road Trip: CodeMash
- How CTF Competitions Make You a Better Developer: CodeMash
- Practical Cryptography for Developers: CodeMash
- Securing Your API Endpoints: CodeMash
- Open Source Security Vulnerabilities in Containers: CodeMash
- What Happens When Your App Is Hacked: CodeMash
- Intro to Mobile Security Testing: CodeMash
- Including Security in the Development Testing Process: CodeMash
- Explain It to Me Like I'm 5: OAuth2 & OpenID: CodeMash
- DDoS Attacks: Threat Landscape & Defensive Countermeasures: CodeMash
- Hacking on a Home Server for Fun and Profit: CodeMash
- Learning from Bug Bounty Results: CodeMash
- End to End Testing with Cypress: CodeMash
- Postman Delivers: CodeMash
- Mutation Testing to the Rescue of Your Tests: CodeMash
- From Manual Testing to Automation Suite: CodeMash
- Example Mapping: CodeMash
- Becoming a Better Curator of Your Code: CodeMash
- Let's Talk About Documentation: CodeMash
- Hey, You Got Your TDD in MySQL DB: CodeMash
- A Brief History of Version Control: CodeMash
- Azure Application Insights to Improve Your Code: CodeMash
- How Using Your Words Improves QA Work: CodeMash
- Beyond Alt-text: Trends in Online Accessibility: CodeMash
- Building a Custom CSS Framework Was Easier Than I Thought: CodeMash
- Twelve Spins on User Experience: CodeMash
- The UX of Configuration Files: CodeMash
- Usability Starts with Accessibility: CodeMash
- Angular and the Case for RxJS: CodeMash
- Mock It 'til You Make It: CodeMash
- An Introduction to WebAssembly: CodeMash
- Principles of Modern JavaScript: CodeMash
- Vue 3.0 Better, Faster, and Stronger: CodeMash
- React State: Redux & Context & Hooks, Oh My: CodeMash
- Human Readable JavaScript: CodeMash
- StencilJS and Universal Components: CodeMash
- JavaScript the Grumpy Parts: CodeMash
Good to know
Targeted to learners who want to solve common business data problems, making it useful for professionals in a variety of industries
Provides practical examples of how to use graph databases to solve real-world problems
Taught by Chad Green, an expert in the use of graph databases
Involves using the Gremlin API within Azure Cosmos DB, which is a popular graph database platform
Useful for learners who want to gain a better understanding of graph databases and their applications
Requires learners to have some familiarity with data modeling and database concepts
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser