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Common Data Problems Solved with Graphs

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 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.

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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

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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 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.

See salaries and explore the career path for Database Designer

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data Warehouse Architect

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Information Architect

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.

See salaries and explore the career path for Business Intelligence 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.

See salaries and explore the career path for Systems Analyst

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.

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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.

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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.

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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.

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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.

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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.

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Graph Databases