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Roland Guijt
An introduction to graph databases, the Cypher query language, and the Neo4j graph database product. This course is updated in October 2018.
Read more
An introduction to graph databases, the Cypher query language, and the Neo4j graph database product. This course is updated in October 2018.
Read more
An introduction to graph databases, the Cypher query language, and the Neo4j graph database product. This course is updated in October 2018.
This course introduces the audience to graph databases and the Neo4j graph database product. In this course, Introduction to Graph Databases, Cypher, and Neo4j, you will gain an introductory knowledge of graph databases. First, you will learn what a graph database is. Next, you will discover how to install and setup Neo4j, how to query graphs with a query language called Cypher, and how to add and manipulate data. Finally, you will explore information about database optimization. By the end of this course, you will know how to use the database using its Bolt and REST APIs with and without a client library.
Register for this course and see more details by visiting:
OpenCourser.com/course/8mkq5j/introduction
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What's inside
Syllabus
Course Overview
What Is a Graph Database?
Introducing Neo4j
Querying Data with Cypher
Read more
Syllabus
Course Overview
What Is a Graph Database?
Introducing Neo4j
Querying Data with Cypher
Read more
Manipulating Data with Cypher
Using Neo4j's APIs
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops basic understanding for beginners in graph databases, Cypher, and Neo4j
Introduces learners to the burgeoning field of graph databases
Taught by experienced instructors in the field of graph databases
Save this course
Save Introduction to Graph Databases, Cypher, and Neo4j 4 to your list so you can find it easily later:
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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 Introduction to Graph Databases, Cypher, and Neo4j 4 with these
activities:
Read 'Graph Databases: Fundamentals, Applications, and Implementations'
Show steps
Introduce learners to the core concepts of graph databases and their applications in real-world scenarios.
View
Graph Databases: New Opportunities for...
on Amazon
Show steps
-
Read chapters 1-3 to gain an understanding of graph database fundamentals and Neo4.j.
-
Complete the practice exercises at the end of each chapter to reinforce concepts.
-
Summarize the key takeaways from your readings in a short report.
Review graph theory and database concepts
Show steps
Review the fundamentals of graph theory and database concepts to refresh your knowledge and strengthen your understanding of the course materials.
Browse courses on
Graph Theory
Show steps
-
Review key concepts of graph theory, such as nodes, edges, and paths.
-
Explore different types of databases and their characteristics.
-
Identify the advantages and disadvantages of using graph databases.
Join a Neo4.j Study Group
Show steps
Facilitate collaboration and knowledge sharing among learners through peer-to-peer interactions.
Show steps
-
Find or create a Neo4.j study group in your area or online.
-
Attend regular study sessions and participate actively in discussions.
-
Share your knowledge and experiences with other group members.
-
Collaborate on projects or assignments together.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a cheat sheet for Cypher query syntax
Show steps
Create a concise cheat sheet summarizing the syntax and usage of Cypher queries for quick reference during your studies.
Browse courses on
Cypher Query Language
Show steps
-
Gather all the necessary information about Cypher query syntax.
-
Organize and format the information into a clear and easy-to-read cheat sheet.
-
Review and update the cheat sheet as needed throughout the course.
Practice Cypher Queries
Show steps
Provide hands-on experience writing and executing Cypher queries to retrieve data from a graph database.
Browse courses on
Cypher Query Language
Show steps
-
Follow the Cypher tutorial on the Neo4.j website.
-
Complete the interactive coding challenges on the Neo4.j Playground.
-
Create a small graph dataset and practice querying it using Cypher.
-
Share your queries and findings with the instructor or classmates for feedback.
Solve Cypher query challenges
Show steps
Practice writing and executing Cypher queries to deepen your understanding of the query language and improve your query-writing skills.
Browse courses on
Cypher Query Language
Show steps
-
Find online resources or tutorials that provide Cypher query challenges.
-
Attempt to solve the challenges and compare your solutions with the provided answers.
-
Identify areas where you need more practice and focus on improving those skills.
Mentor Junior Neo4.j Developers
Show steps
Allow learners to share their knowledge and skills while supporting the growth of others in the Neo4.j community.
Show steps
-
Join the Neo4.j Community Slack or Discord.
-
Offer to mentor new or junior Neo4.j developers.
-
Provide guidance and support on technical issues and project development.
-
Encourage and motivate mentees to continue learning and growing.
Read 'Graph Databases: Fundamentals, Applications, and Implementations'
Show steps
Introduce learners to the core concepts of graph databases and their applications in real-world scenarios.
View
Graph Databases: New Opportunities for...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to gain an understanding of graph database fundamentals and Neo4.j.
- Complete the practice exercises at the end of each chapter to reinforce concepts.
- Summarize the key takeaways from your readings in a short report.
Review graph theory and database concepts
Show steps
Review the fundamentals of graph theory and database concepts to refresh your knowledge and strengthen your understanding of the course materials.
Browse courses on
Graph Theory
Show steps
Show steps
Show steps
- Review key concepts of graph theory, such as nodes, edges, and paths.
- Explore different types of databases and their characteristics.
- Identify the advantages and disadvantages of using graph databases.
Join a Neo4.j Study Group
Show steps
Facilitate collaboration and knowledge sharing among learners through peer-to-peer interactions.
Show steps
Show steps
Show steps
- Find or create a Neo4.j study group in your area or online.
- Attend regular study sessions and participate actively in discussions.
- Share your knowledge and experiences with other group members.
- Collaborate on projects or assignments together.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a cheat sheet for Cypher query syntax
Show steps
Create a concise cheat sheet summarizing the syntax and usage of Cypher queries for quick reference during your studies.
Browse courses on
Cypher Query Language
Show steps
Show steps
Show steps
- Gather all the necessary information about Cypher query syntax.
- Organize and format the information into a clear and easy-to-read cheat sheet.
- Review and update the cheat sheet as needed throughout the course.
Practice Cypher Queries
Show steps
Provide hands-on experience writing and executing Cypher queries to retrieve data from a graph database.
Browse courses on
Cypher Query Language
Show steps
Show steps
Show steps
- Follow the Cypher tutorial on the Neo4.j website.
- Complete the interactive coding challenges on the Neo4.j Playground.
- Create a small graph dataset and practice querying it using Cypher.
- Share your queries and findings with the instructor or classmates for feedback.
Solve Cypher query challenges
Show steps
Practice writing and executing Cypher queries to deepen your understanding of the query language and improve your query-writing skills.
Browse courses on
Cypher Query Language
Show steps
Show steps
Show steps
- Find online resources or tutorials that provide Cypher query challenges.
- Attempt to solve the challenges and compare your solutions with the provided answers.
- Identify areas where you need more practice and focus on improving those skills.
Mentor Junior Neo4.j Developers
Show steps
Allow learners to share their knowledge and skills while supporting the growth of others in the Neo4.j community.
Show steps
Show steps
Show steps
- Join the Neo4.j Community Slack or Discord.
- Offer to mentor new or junior Neo4.j developers.
- Provide guidance and support on technical issues and project development.
- Encourage and motivate mentees to continue learning and growing.
Career center
Learners who complete Introduction to Graph Databases, Cypher, and Neo4j 4 will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A Data Architect designs, builds, and maintains the architecture of data systems. This course will help build a foundation for understanding the design, deployment, and operation of a graph database system, including installation, setup, optimization, and schema design.
Database Developer
Database Developer
A Database Developer designs and develops database systems. This course would be valuable in understanding how to design and develop graph database schemas, as well as how to use Cypher to query and manipulate data in a graph database.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines that transform and move data between different systems. This course would be valuable in understanding how to integrate a graph database into a data pipeline and how to query and manipulate data in a graph database using Cypher.
Database Administrator
Database Administrator
A Database Administrator installs, configures, and maintains databases. This course would be relevant for understanding how to configure, optimize, and manage a Neo4j graph database, including topics like backup and restore, performance tuning, and security.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs, builds, and maintains big data systems. This course may help develop the skills for using graph databases to store and analyze large volumes of complex data, such as social network data, customer data, and sensor data.
Data Scientist
Data Scientist
A Data Scientist uses statistical and machine learning techniques to extract insights from data. This course may help develop the skills for using graph databases to store and analyze complex data relationships, which can be valuable for tasks such as fraud detection, recommendation systems, and social network analysis.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course may help develop the skills for using graph databases to store and analyze data for machine learning models, such as social network data, customer data, and fraud detection data.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may help develop the skills for building applications that use graph databases. It can also help build a foundation for understanding how to integrate a graph database into a software architecture and how to use Cypher to query and manipulate data in a graph database.
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer designs, builds, and maintains data warehouses. This course may help develop the skills for using graph databases to extend a data warehouse with graph capabilities, such as storing and analyzing complex data relationships and performing graph-based analytics.
Data Analyst
Data Analyst
A Data Analyst examines and interprets large amounts of structured data to uncover meaningful insights for decision-making. This course may help develop the skills needed to extract data from a data source, like a graph database, as well as become familiar with the Cypher query language, which is specifically designed for graph databases.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud computing systems. This course may be useful for understanding how to deploy and manage a graph database in the cloud, including topics such as cloud security, scalability, and performance optimization.
Business Analyst
Business Analyst
A Business Analyst analyzes an organization's business processes and systems to identify areas for improvement. This course may help develop the skills for understanding how to use graph databases to model and analyze complex business relationships and data, such as customer relationships, supply chains, and social networks.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects an organization's computer systems and data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may help develop the skills needed to secure a Neo4j graph database, including understanding how to configure access control, manage user permissions, and implement security best practices.
Product Manager
Product Manager
A Product Manager defines the vision, roadmap, and features for a software product. This course may be useful for understanding how to incorporate graph database technology into a product roadmap and how to work with engineering teams to implement graph database solutions.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful for understanding how to manage a project to implement a graph database solution, including requirements gathering, planning, scheduling, and risk management.
For more career information including salaries, visit:
OpenCourser.com/course/8mkq5j/introduction
Reading list
We've selected seven 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
Introduction to Graph Databases, Cypher, and Neo4j 4.
Provides a comprehensive overview of graph theory. It covers a wide range of topics, including how to find shortest paths, how to find connected components, and how to solve graph coloring problems.
Provides a comprehensive overview of graph algorithms. It covers a wide range of topics, including how to find shortest paths, how to find connected components, and how to solve graph coloring problems.
Save
Provides a comprehensive overview of graph databases, including their history, benefits, and use cases. It also covers the different types of graph databases and the key features of each.
Provides a comprehensive overview of Hadoop. It covers a wide range of topics, including how to install and configure Hadoop, how to write Hadoop jobs, and how to manage Hadoop clusters.
Provides a comprehensive overview of Spark. It covers a wide range of topics, including how to install and configure Spark, how to write Spark applications, and how to manage Spark clusters.
Save
Quick and easy introduction to SQL. It covers the basics of SQL, including how to create and query databases.
Is an introduction to graph databases, with a focus on the basics. It covers all aspects of the database, from installation and configuration to data modeling and querying.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8mkq5j/introduction
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Time
108 hours
Level
Introductory
Via
Pluralsight
Instructor
Roland Guijt
Language
English
Good to know
Develops basic understanding for beginners in graph databases, Cypher, and Neo4j
Introduces learners to the burgeoning field of graph databases
Taught by experienced instructors in the field of graph databases
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