Understanding the fundamental administration tasks for a Neo4j database is useful for administrators learning about this graph DB as well as developers who use it in their own environments. Begin by learning the very basics of setting up a graph database - creating a project which serves as a logical grouping of database management systems (DBMS). Create locally stored database systems and discover how to connect to a remotely hosted one using Neo4j Desktop. Moving on, use the Cypher shell to interact with a Neo4j database and use this to manage a database system and perform tasks such as taking a database offline, creating parameters for queries, and running Cypher queries. Finally, learn how to modify the configuration file for a Neo4j database management system, where you explore options such as limiting the number of databases in a DBMS and also modifying the HTTP connection settings. Upon completion, you'll be able to use the Neo4j Desktop, Neo4j Browser, and the Cypher shell to perform key database administration tasks.

This course serves as a quick introduction to the concepts around graph databases, their use cases, and gives you a glimpse into the Neo4j graph database. Explore a theoretical overview of graphs, including how information is stored as nodes and edges, and how graph databases emphasize the connections between entities. Learn about a specific graph database, Neo4j, which is among the most mature and widely used out in the market. Practice the installation and setup of such a database, and look into the UI-based applications available to interact with it - namely the Neo4j Desktop and Neo4j browser. Moving on, examine some basic database administration tasks such as creating a local database and connecting to a remotely hosted one. Finally, delve into the fundamentals of querying a Neo4j database using its own Cypher query language. Upon completion you'll be able to recognize the strengths and use cases for graph databases and to set up and use Neo4j Desktop

Knowing how to perform a variety of database management tasks from the Neo4j Browser allows database administrators to make best use of the available features and to maximize productivity. Begin with learning about the fundamental administration tasks of creating a new user with a specific set of permissions on a database system and testing that user's permissions. Discover the various built-in roles available for a Neo4j user and how to manage a user during their lifecycle. Moving on, explore the different ways in which query results can be viewed, from a graph view where the nodes and relationships are clearly visible, to a tabular and plain text view of the data. Finally, test out the Neo4j API by submitting an HTTP POST request to initialize a transaction for the creation of a node, and then commit that transaction. By completing this course, you'll explore the various granular details which can be configured in the Neo4j Browser to customize it for your own requirements.

This course delves into the fundamentals of graph data modeling from a theoretical standpoint before applying some of the principles to a Neo4j database. Begin with an overview of data modeling in general and then graph modeling in particular. Learn to recognize the similarities in modeling for relational, document, and graph databases and identify how their approaches vary. Next, in the practical portion of the course, build a database with different entity types and multiple relationship types. Explore the use of properties, labels, and relationships to model your data correctly for efficient query execution. Finally, delve into translating a CSV file containing a many-to-one relationship between entity types into a graph database and discover how to translate a tabular structure like a CSV file into a graph structure for Neo4j.

This course focuses on using the Neo4j ETL tool to automate the migration from a relational database to a Neo4j graph and redefining a graph data model with the APOC library. Start by setting up a relational database with multiple tables for entities as well as relationships between entities. Discover how relationships are modeled in tabular structures and what needs to happen for their translation into graphs. Use the Neo4j ETL tool to map the relational tables to a set of nodes and relationships. You will see where the tool can save you work, and what its limitations are. Finally, learn about some of the options available in the Neo4j's APOC library to re-factor your graph data model. This will include redefining the properties in nodes as well as modeling relationships with multiple properties as nodes with simpler relationships.