We may earn an affiliate commission when you visit our partners.

Cypher

Save

Cypher is a query language for graph databases, such as Neo4j and Amazon Neptune. It allows users to retrieve, create, update, and delete data from a graph database. Cypher is a powerful language that can be used to perform complex queries on graph data, and it is a valuable tool for anyone who works with graph databases.

What is Cypher?

Cypher is a declarative language, which means that it allows users to specify what they want to achieve, without having to specify how to achieve it. This makes Cypher easy to learn and use, even for users who are not familiar with graph databases.

Cypher is also a composable language, which means that users can combine different Cypher clauses to create more complex queries. This allows users to build up queries that are tailored to their specific needs.

Why learn Cypher?

There are many reasons why someone might want to learn Cypher. Some of the most common reasons include:

Read more

Cypher is a query language for graph databases, such as Neo4j and Amazon Neptune. It allows users to retrieve, create, update, and delete data from a graph database. Cypher is a powerful language that can be used to perform complex queries on graph data, and it is a valuable tool for anyone who works with graph databases.

What is Cypher?

Cypher is a declarative language, which means that it allows users to specify what they want to achieve, without having to specify how to achieve it. This makes Cypher easy to learn and use, even for users who are not familiar with graph databases.

Cypher is also a composable language, which means that users can combine different Cypher clauses to create more complex queries. This allows users to build up queries that are tailored to their specific needs.

Why learn Cypher?

There are many reasons why someone might want to learn Cypher. Some of the most common reasons include:

  • To work with graph databases. Cypher is the primary query language for Neo4j, and it is also supported by other graph databases, such as Amazon Neptune. If you work with graph databases, then you need to know Cypher.
  • To analyze graph data. Cypher is a powerful tool for analyzing graph data. It can be used to find patterns, identify relationships, and extract insights from graph data.
  • To develop graph applications. Cypher can be used to develop graph applications, such as social networks, recommendation engines, and fraud detection systems.
  • To learn about graph databases. Cypher is a great way to learn about graph databases. It is a simple and easy-to-understand language, and it can help you to understand the concepts of graph databases.

How to learn Cypher

There are many ways to learn Cypher. Some of the most common methods include:

  • Online courses. There are many online courses that teach Cypher. These courses can be a great way to learn the basics of Cypher, and they can also help you to develop your skills.
  • Books. There are also several books available that teach Cypher. These books can be a valuable resource for learning Cypher, and they can provide you with a more in-depth understanding of the language.
  • Tutorials. There are many tutorials available online that teach Cypher. These tutorials can be a good way to get started with Cypher, and they can help you to learn the basics of the language.

Once you have learned the basics of Cypher, you can start to use it to work with graph databases. Cypher is a powerful language that can be used to perform complex queries on graph data, and it is a valuable tool for anyone who works with graph databases.

Benefits of learning Cypher

There are many benefits to learning Cypher. Some of the most common benefits include:

  • Increased productivity. Cypher can help you to be more productive when working with graph databases. It is a powerful language that can be used to perform complex queries on graph data quickly and easily.
  • Improved data analysis. Cypher can help you to improve your data analysis skills. It can be used to find patterns, identify relationships, and extract insights from graph data.
  • Greater job opportunities. Cypher is a valuable skill that can open up new job opportunities for you. There is a growing demand for people who know how to work with graph databases, and Cypher is the primary query language for Neo4j, the most popular graph database.

Conclusion

Cypher is a powerful query language for graph databases. It is a valuable tool for anyone who works with graph databases, and it can be used to perform complex queries on graph data quickly and easily. If you are interested in working with graph databases, then you should learn Cypher.

Path to Cypher

Take the first step.
We've curated two courses to help you on your path to Cypher. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Cypher: by sharing it with your friends and followers:

Reading list

We've selected 11 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 Cypher.
Guide to Cypher for Amazon Neptune. It covers all aspects of Cypher, from the basics to advanced topics such as performance tuning and graph algorithms.
Provides a comprehensive overview of graph databases, including Cypher. It good resource for anyone who wants to learn more about graph databases and how to use them in practice.
Provides a comprehensive introduction to graph databases. It covers everything from the basics of graph theory to advanced topics such as graph algorithms and data visualization. It great resource for anyone who wants to learn more about graph databases and Cypher.
Provides a comprehensive overview of graph algorithms, including algorithms for querying graph databases. It good resource for anyone who wants to learn more about the algorithms that are used to process graph data.
Provides a practical guide to using graph databases. It covers a wide range of topics, from basic concepts to advanced techniques.
Provides a comprehensive overview of RDF and SPARQL. RDF common data format for graph databases, and SPARQL powerful language for querying RDF data.
Provides a comprehensive overview of NoSQL databases, including graph databases. It good resource for anyone who wants to learn more about the different types of NoSQL databases and how to use them in practice.
Comprehensive guide to the Cypher query language. It covers everything from basic concepts to advanced techniques, and it great way to learn about the power of Cypher.
Practical guide to using Cypher for developers. It covers a wide range of topics, from data modeling to query optimization, and it great way to learn how to use Cypher in the real world.
Practical guide to using Cypher for data scientists. It covers a wide range of topics, from data modeling to machine learning, and it great way to learn how to use Cypher for data science tasks.
Gentle introduction to Cypher. It covers the basics of the language, and it great way to get started with Cypher.
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