-
What is a graph?
A graph, in this case, is defined as an abstract model of data which contains nodes/vertices and lines/edges. -
What is an edge?
An edge is a line connecting two nodes representing its relationship -
What is a vertex?
A vertex is an entity of the graph that contains data along with its attributes, it is comparable to a row in SQL DBs. -
Why would we want to use a graph database instead of a normal SQL database?
We use graph DBs for complex relations or one-level-deep or complex queries, with large data. To easily or directly state the relationship between two nodes/vertices all you have to do is trace its edge/line. To know the relationship of two vertices just trace its line even if it passes through other vertices.
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 represents a relationship between the two nodes that it connects (for example, likes or friends).
3)A node or vertex represents an entity (for example, a person or an organization)
4)Most of the problems we face are real world abstractions, and it happens to be that in the real world, things work connected. And quite often, a table does not look like the most adequate abstraction tool.
1. What is a graph?
A graph database is typically used to model data that contains objects (also known as nodes or vertices).
2. What is an edge?
The relationship between the nodes are referred to as lines or edges.
3. What is a vertex?
This is another word for the nodes. Typically a vertex / node is used to represent an entity object, and is comparable to a row in a relational database (e.g. somebody’s name). Each node also contains the properties of that entity (e.g. ID, age, location). These properties correspond to the columns in a relational database.
4. Why would we want to use a graph database instead of a normal SQL database?
The ability to directly state the relationship between two objects within a graph database provides a strong advantage over relational databases, especially those that contain a large amount of relationships within the data. Graph databases may also offer increased efficiency for searches.
A graph is an abstract data type containing objects called nodes and vertices, that’s shows a relationship between them.
The edge is the relationship between the node/vertices.
A vertex represents something, a name, place D.O.B, some kind of data within the the graph.
More efficient in finding complex data in relationships can find more the data faster.
-
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)
-
An edge are the lines that connects nodes.
-
A vertex is a single object or node in a graph model.
-
The ability to directly state the relationship between two objects within a graph database provides a strong advantage over relational database systems for certain datasets. Namely, those that contain a large amount of relationships within the data.
Graph databases may also offer increased efficiency for searches in some cases.
-
What is a graph?
A graph is an abstract data type that is used to store data objects and the relations between them. -
What is an edge?
In a graph database, and edge is the relationships between the different data nodes or entity objects. -
What is a vertex?
Inna graph database, a vertex is a node that represents the entity object (row) and contains any necessary properties of that entity (column). -
Why would we want to use a graph database instead of a normal SQL database?
If the dataset contains a large number of relationships within the data, a graph database can be more efficient.
-
A graph is an abstract data type used to model nodes of data with different relationships between the nodes.
-
An edge is a relationship between two nodes (objects).
-
A vertex is a node which contains an object (some data).
-
It is more efficient to do complicated searches involving different objects and different relationships between the data with a graph database compared to a normal SQL database.
- 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.
- What is an edge? Is the relationship between the nodes
- What is a vertex? or a node that represents the entity and its information
- Why would we want to use a graph database instead of a normal SQL database? Graph databases can be more efficient.
- Graph is an abstract data type model
- An edge connects vertices or nodes in a network
- A vertex in math is the highest point on a graph, in a graph DB it is a node on the network
- If our query’s are complex, graph databases provide a fantastic solution to search issues/inefficiences.
-
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). -
What is an edge?
These are use to describe the relationships between the objects contained in the database.
Comparable to a foreign key in a relational database. -
What is a vertex?
Vertices are objects such as people or artifacts (generally have properties). -
Why would we want to use a graph database instead of a normal SQL database?
Relationships are fundamental to how objects interact with one another and their environment. Graph databases are the perfect representation for those that contain large amounts of relationships between objects.
Graph Databases Reading Assignment Answers.
-
A graph is an abstract data type used to model data that contains objects, and some sort of
relationship between those objects. -
Edges are used to describe the relationships between the objects contained in the database.
-
a vertex or node is an object we use to model any particular entity we want.
-
We would want to use a graph database whenever we want to perform a search more than one level deep.
-
What is a graph?
A graph is a data type used to model data that contains objects and some type of relationship between those objects. -
What is an edge?
An edge or lines is what represents the relationship between nodes in a graph -
What is a vertex?
A vertex or vertice is the same as a node. -
Why would we want to use a graph database instead of a normal SQL database?
When you have data sets with large amounts of relationships and you want to increase efficiency.
- 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) - What is an edge
These are used to describe the relationships between the objects contained in the database. Comparable to a foreign key in a relational database - What is a vertex
Vertices are objects such as people or artifacts
4 why would we want to use a graph database instead of a normal SQL database?
Relationshps are fundamental to how objects interact with one another an their environment. Graph databases are the perfect representation for those that contain large amounts of relationships between objects.
- Graph database is a model that abstract data are represented in the form of nodes/vertices.
- An edge is the relationship between nodes
- Vertex or Node is the object that the data is contained within.
- Graph databases are quicker to state relationships between data than a relational database. This allows for more efficiency when the data contains a large number of relationships between themselves.
-
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). -
What is an edge?
The relationships between nodes. It represents a foreign key column of a row. -
What is a vertex?
Node -
Why would we want to use a graph database instead of a normal SQL database?
When the data and the associated relationships are best represented in graphical format.
- What is a graph?
Graph is a database type that represents relations between data in a visual way using nodes. - What is an edge?
Edge is the relation between graphs. - What is a vertex?
Vertex is the node that contains information. - Why would we want to use a graph database instead of a normal SQL database?
With graph databases one can retrieve data for more complicated relations.
1.An abstract type of data used to contain objects and relations between then
2. Edges is the relationship between nodes and the data that they share
3. Vertex is where the data is stored on the graph
4. Graph gives you the ability to state the direct relationships between data
- 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).
- What is an edge?
- the relationships between the objects contained in the database
- What is a vertex?
- Also called a node and is used to represent an entity object, and is comparable to a row in a relational database.
- Why would we want to use a graph database instead of a normal SQL database?
- The ability to directly state the relationship between two objects within a graph database provides a strong advantage over relational database systems for certain datasets.
-
What is a graph?
A graph is an abstract data type that contains objects and the relationships between objects. -
What is an edge?
It defines the relationship between objects and can also be called a line. -
What is a vertex?
It is the object including its properties. Also called a node. -
Why would we want to use a graph database instead of a normal SQL database?
For its ability to directly state a relationship between objects and increased efficiency for searches.
-
What is a graph?
is an abstract data type typically used to model data that contains objects(nodes or vertices) and some sort of relationship between those objects(lines or edges). -
What is an edge?
This describes the relationship between nodes. can be compared to foreign key in the SQL -
What is a vertex?
An objet that is part of the graph, also called nodes. -
Why would we want to use a graph database instead of a normal SQL database?
it states the direct relationship between objects and data can easily be noticed from large amount of relationships.