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Charles Nurse

This course introduces database developers to the TinkerPop Graph Database and to the Gremlin traversal API.

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This course introduces database developers to the TinkerPop Graph Database and to the Gremlin traversal API.

Graph databases in general, and Apache TinkerPop enabled databases in particular, are being increasingly used to model highly connected systems. In this course, Getting Started with Apache TinkerPop and Gremlin, you'll gain the ability to build apps for these highly connected systems. First, you'll explore the importance of graph databases, how to build graph models, and how to install the Gremlin console and TinkerGraph. Next, you'll discover how to query and update a TinkerPop database using the Gremlin traversal language. Finally, you'll learn how to use the skills learned to work with a cloud based TinkerPop enabled database – Azure Cosmos DB. When you're finished with this course, you'll have the skills and knowledge of Apache TinkerPop and the Gremlin traversal language needed to build apps for highly connected systems.

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What's inside

Syllabus

Course Overview
Creating the Graph Model
Installing the Gremlin Console and TinkerGraph
Querying Graphs with Gremlin
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Adding, Deleting, and Updating Graph Data
Moving beyond the Console and TinkerGraph with Azure Cosmos DB
Course Review

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Beginners will gain a comprehensive overview of graph database development
Teaches the Gremlin traversal API
Studies a specific type of database development, which may not fit all students
Industry standard Apache TinkerPop is covered

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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 Getting Started with Apache TinkerPop and Gremlin with these activities:
Review Graph Theory
Understanding the fundamentals of graph theory will provide a solid foundation for comprehending the concepts of graph databases and the Gremlin traversal API.
Show steps
  • Read the first three chapters of the book.
  • Summarize the key concepts of graph theory.
  • Solve 5-10 practice problems on graph theory.
Create a Graph Database Model
Creating a graph database model will allow you to apply your knowledge of graph theory and the Gremlin traversal API to a practical scenario.
Show steps
  • Identify a real-world scenario that can be modeled using a graph database.
  • Design a graph schema for the scenario.
  • Create a graph database using TinkerPop and populate it with data.
Attend Study Group
Participating in a study group will provide you with opportunities to discuss concepts, ask questions, and receive support from peers.
Show steps
  • Find a study group or create one with peers.
  • Attend study group meetings regularly.
  • Discuss course topics, ask questions, and share insights.
Show all three activities

Career center

Learners who complete Getting Started with Apache TinkerPop and Gremlin will develop knowledge and skills that may be useful to these careers:
Graph Data Scientist
A Graph Data Scientist is responsible for using graph databases and the Gremlin traversal language to solve business problems. They work closely with business stakeholders and IT professionals to identify the best ways to use graph databases to meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can provide you with the skills and knowledge of Apache TinkerPop and the Gremlin traversal language needed to build apps for highly connected systems. This course may be particularly useful for someone who wants to become a Graph Data Scientist.
Graph Database Administrator
A Graph Database Administrator is responsible for administering and maintaining graph databases. They work closely with business stakeholders and IT professionals to ensure that the graph databases are running smoothly and efficiently. The course Getting Started with Apache TinkerPop and Gremlin can provide you with the skills and knowledge of Apache TinkerPop and the Gremlin traversal language needed to build apps for highly connected systems. This course may be particularly useful for someone who wants to become a Graph Database Administrator.
Graph Database Developer
A Graph Database Developer is responsible for designing, developing, and maintaining graph databases. They work closely with business stakeholders and IT professionals to ensure that the graph databases meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can provide you with the skills and knowledge of Apache TinkerPop and the Gremlin traversal language needed to build apps for highly connected systems. This course may be particularly useful for someone who wants to become a Graph Database Developer.
Graph Database Architect
A Graph Database Architect is responsible for designing and architecting graph databases. They work closely with business stakeholders and IT professionals to ensure that the graph databases meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can provide you with the skills and knowledge of Apache TinkerPop and the Gremlin traversal language needed to build apps for highly connected systems. This course may be particularly useful for someone who wants to become a Graph Database Architect.
Graph Database Consultant
A Graph Database Consultant is responsible for helping organizations to design, implement, and maintain graph databases. They work closely with business stakeholders and IT professionals to identify the best ways to use graph databases to meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can provide you with the skills and knowledge of Apache TinkerPop and the Gremlin traversal language needed to build apps for highly connected systems. This course may be particularly useful for someone who wants to become a Graph Database Consultant.
Data Warehouse Engineer
A Data Warehouse Engineer is responsible for designing, building, and maintaining data warehouses. They work closely with business stakeholders and IT professionals to ensure that the data warehouses meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Data Warehouse Engineer who wants to work with graph databases.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. They work to ensure that software applications are delivered quickly and efficiently while maintaining high quality standards. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a DevOps Engineer who wants to work with graph databases.
Data Scientist
A Data Scientist is responsible for developing and applying statistical and machine learning models to data to solve business problems. They use this information to help businesses make better decisions. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Data Scientist who wants to work with graph databases.
Systems Engineer
A Systems Engineer is responsible for designing, building, and maintaining complex systems, such as computer networks and data centers. They work closely with business stakeholders and IT professionals to ensure that the systems meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Systems Engineer who wants to work with graph databases.
Big Data Engineer
A Big Data Engineer is responsible for designing, building, and maintaining big data systems. They work closely with business stakeholders and IT professionals to ensure that the big data systems meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Big Data Engineer who wants to work with graph databases.
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and maintaining cloud-based applications and infrastructure. They work closely with business stakeholders and IT professionals to ensure that the cloud-based applications and infrastructure meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Cloud Engineer who wants to work with graph databases.
Data Architect
A Data Architect is responsible for designing, building, and maintaining an organization's data architecture. They work closely with business stakeholders and IT professionals to ensure that the data architecture meets the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Data Architect who wants to work with graph databases.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They work closely with business stakeholders and IT professionals to ensure that the software applications meet the business needs of the organization. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Software Engineer who wants to work with graph databases.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to help businesses make better decisions. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a Data Analyst who wants to work with graph databases.
Database Administrator
A Database Administrator (DBA) is responsible for the day-to-day administration of an organization's databases. This includes tasks such as performance monitoring, security patching, and data backups. The course Getting Started with Apache TinkerPop and Gremlin can help you build a foundation in graph databases and the Gremlin traversal language, which are increasingly being used to model highly connected systems. This knowledge and skills may be useful for a DBA who wants to work with graph databases.

Reading list

We've selected six 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 Getting Started with Apache TinkerPop and Gremlin.
Covers the fundamentals of graph database systems, including graph models, data structures, and traversal algorithms. It also provides a practical introduction to Apache TinkerPop and the Gremlin traversal language.
Provides a comprehensive overview of Python for machine learning. It covers topics such as data preprocessing, model training, and model evaluation.
Provides a comprehensive overview of machine learning with Python. It covers topics such as data preprocessing, model training, and model evaluation.
This business-focused book offers an accessible introduction to data science concepts and techniques, providing a complementary perspective on the business applications of data.

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