Graph Databases - Reading Assignment

  1. What is a graph?
  • A graph is an abstract data type
    Typically used to model data that contains objects and some sort of relationship between those objects.

  • Objects: referred to as nodes or vertices

  • Relationship between those objects are: lines or edges

What is an edge?

  • Represents the line or relationship between objects aka nodes or vertices.
  1. What is a vertex?
  • A vertex (plural vertices) or node is the fundamental unit of which graphs are formed.
  • EXAMPLE: A vertex is usually represented by a circle with a label, and an edge is represented by a line or arrow extending from one vertex to another.
  1. Why would we want to use a graph database instead of a normal SQL database?
  • When there is large amount of relationships within the data.
  • The ability to directly state the relationship between two objects within a graph database.

What is a graph?
A data type with objects (nodes or vertices) and a relationship between those objects (lines or edges). It uses nodes to represent an entity object, like rows in a relational database, and its properties, like columns.

What is an edge?
Edges describe the relationships between nodes/objects, like foreign key column in RDMS.

What is a vertex?
Same thing as a node or object in a graph database. This is an entity that can have properties.

Why would we want to use a graph database instead of a normal SQL database?
Graph DBs are easier to see relationships between objects than relational DBs, and can make querying and retrieving data easier in some cases.

  1. A graph is an abstract data type used to model data that contains objects along with the relationship between those objects.
  2. An edge between the nodes describes the relationship between the objects.
  3. A vertex is another name for a node or a object in a graph database.
  4. We might want to use a graph database instead of a normal SQL database when the datasets contain multiple complex relationships, as graph databases are more efficient in querying this type of data.
  1. A graph is a database used to model pairwise relations between objects.

  2. An edge links one vertex to another. It describes the relationships between the vertices.

  3. A vertex is a node, an object. It contains data. (In SQL it would be rows and columns). It is represented by a circle with a label. “Vertices” is the plural of “vertex”.

  4. We use a graph database instead of a normal SQL database (a) when there is a large amount of relationships within the data (b) when we need to perform complex searches (more than one level deep).

  1. A graph is a structure of objects and lines that connect them. It is basically a simplified SQL database.

  2. An edge is a line that connects two vertices. The line describes the relation between the two vertices.

  3. A vertex is an object containing one entity. Similar to a row in an SQL table, it has all of its attributes, that would normally be in the columns. The difference here is that a vertex contains only a single row with all its attributes.

  4. A graph database better at showing complex relationships or levels of relationships. If it is the case that the entities in the database have such complex relationships, queries are performed quicker than in an SQL database. Friends of friends of friends on a social network might be a good example for this.

      1. A graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges).
  1. The ability to directly state the relationship between two objects within a graph database provides a strong advantage over relational database systems for datasets with a large amount of relationships within the data and they offer increased efficiency for searches.
  1. A graph is an abstract structure to model data that contain objects (usually referred to as nodes or vertices) and a sort of relationship between them (called lines or edges).

  2. A edge or line is used to describe the relation between the objects (nodes) held in the database. They can be understood as the foreign key column in SQL/RDBMS.

  3. A single object also known as node. They contain the properties of this entity and could be understood as the rows in SQL/RDBMS.

  4. The ability to directly state the relationships between two objects provides a strong advantage over realtional databases for certain data sets. It does provide increased efficiency if searches are mainly focused on the relations of the data.

  1. Graph is a database that uses objects as its model data

  2. An edge or line is the relationship between the objects

  3. A vertex is data link between the nodes which contain properties of the entity

  4. The advantage of a graph database is that it can weight and give a dynamic data link between nodes, normal SQL all data is weighted equally

  1. A graph is an abstract data type that typically models data that contains nodes, and the relationships between those nodes.

  2. An edge is a line that connects nodes.

  3. A vertex is a node, or a single object that is part of the whole data model.

  4. You would use a graph database instead of a normal SQL database when the data set has numerous relationships, and you are interested in searching data for relationships that are more than one layer deep (i.e. find all of the co-workers of a specific employee, who are also in a specific department).

  1. a data type used to model data containing objects.
  2. the relationship between two objects in a graph database.
  3. the objects within a graph database, aka “nodes”.
  4. for deeper level data, it is more useful for determining the relationship between that data.

Graph Database - Reading Assignment

1. What is a graph?
A graph is representing relationships and attributed of objects in a model.

2. What is an edge?
An edge is representing a relationship between to objects(nodes).

3. What is a vertex?
A vertex is representing an object with its attributes. They are also called nodes.

4. Why would we want to use a graph database instead of a normal SQL database?

  • more intuitivity
  • faster
  • is representing the real relationship better
  • more agile and flexible
  1. In the context of databases, a graph is “an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges).”
  2. An edge is used to describe the relationships between the objects contained in the database. In general, they can be compared to the foreign key column of a row in a RDBMS.
  3. A vertex is an object with data in a data model; also called nodes.
  4. Graph databases are helpful when there are many relationships between data objects.

**1.**What is a graph?
A graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges).
2.What is an edge?
These are lines on the graph that describe the relationships between the objects contained in the database.
3. What is a vertex?
Vertex or vertices are the objects (nodes), sometimes illustrated as circles on a graph.
**4. Why would we want to use a graph database instead of a normal SQL database?
The graph database can show the direct relationship between two objects more clearly on a large database. It also offers an increased efficiency for searches.

  1. What is a graph?
    An abstract data type typically used to model data that contains objects and a relationship between the objects.
  2. What is an edge?
    Used to describe the relationship between the objects.
  3. What is a vertex?
    A node that contains data and represents an object within the graph database.
  4. Why would we want to use a graph database instead of a normal SQL database?
    Graph databases are very flexible and are better for high-level relationships.
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  1. A graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges).
  2. Edge is used to describe the relationships between the objects contained in the database.
  3. Vertex an object that is used to model data.
  4. A graph database can be used instead of a normal SQL database when there are complex tier relationships between objects.
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  1. A graph is an abstract data type typically used to model data that contains objects and the relationship between those objects.
  2. An edge is used to describe the relationship between two objects in a database
  3. A vertex is an object or record that is being modeled in a database
  4. A graph database gives you the ability to directly state the relationship between two objects which gives you an advantage when working with databases that have a large number of relationships.
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An abstract data type typically used to model objects and relationships between objects.
An edge is the realtionship between nodes or objects.
A vertex is the node or object.
A graph db can be more efficient when examining many relationships between nodes.

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It is a Database type that uses an abstract model for the data structure, nodes or vertex is the entry and some relationship between those items are lines or edges, resulting in a graph type structure.
2.
It is the relationship between vertexes in a Graph Database.
3.
It is an entry or item in the graph type database, also known as nodes or vertices.
4.
To query 2 or more levels deep of relationships of data in an efficient way.

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  1. What is a graph? A graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some sort of relationship between those objects (lines or edges).
  2. What is an edge? Edges are use to describe the relationships between the objects contained in the database.
  3. What is a vertex? Its an object in the graph
  4. Why would we want to use a graph database instead of a normal SQL database? Because of the ability to directly state the relationship between two objects
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  1. What is a graph?
    It’s a data structure that contains objects and the relationships between them.

  2. What is an edge?
    The relationship between the objects.

  3. What is a vertex?
    An object in a graph.

  4. Why would we want to use a graph database instead of a normal SQL database?
    It might be preferable for data containing multiple complex relationships.

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