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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 (line or edges). A graph database uses its nodes to contain data.
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These edges are use to describe the relationships between the objects contained in the database, and in most they can be compared to the Foreign Key column of a row in a RDBMS.
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A point where two or more line segments meet. A corner. A vertex is the plural of vertices which is also called nodes.
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Too much searching, using graph database, the process becomes somewhat simpler.
- A graph is a picture about relationships
- An edge is the connected data between the items or objects in the graph.
- The vertex is the object, similar to the row in a table.
- A graph database makes it easier to find data and it can grow more organically with née structures
- It is a abstract data type typically used to model data that contains abjects referred to as nodes or vertices, and some sort of relationship between those objects. (lines or edges)
2.Lines connecting nodes.
3.Itâs a data set and is used to define edges.
4.A Graph DB is useful when there are frequent searches that are many layers deep.
1- It is a DB that uses nodes to contain data.
2- describe the relationships within the DB.
3- It is a node.
4- Makes relationships in the data easier to understand.
- It is an abstract data type to model data held by nodes and the relationships between those nodes
- they describe the relationship between each node
- An object, a node
- Makes it easier to understand more complex relationships, it simplifies them
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What is a graph?
An abstract data type typically used to model data that contains objects (referred to as nodes), and some sort of relationship between those objects -
What is an edge?
These are used to describe the relationships between the objects contained in the database, and in most they can be compared to the foreign key column of a row in a RDBMS. -
What is a vertex?
Also known as a node, each node contains the properties of that entity, which can be anything the business needs to keep track of (ID numbers, location, etc.) These properties correspond to the columns in a relational database. -
Why would we want to use a graph database instead of a normal SQL database?
Its easier to query a graph database when each node contains a lot of information about the entity in the node.
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What is a graph?
A type of database that has a more direct relational structure between objects and nodes. -
What is an edge?
Is a relationship between different objects -
What is a vertex?
is a subset of data in the database -
Why would we want to use a graph database instead of a normal SQL database?
The number of resources and speed is drastically increased because of the direct type of relationship structure.
- What is a graph?
A graph is a data type that contains objects (referred to as nodes or vertices) and the relationships between those objects (referred to as lines or edges)
- What is an edge?
An edge is a relationship or link between two nodes, similar to the concept of a foreign key in a relational database
- What is a vertex?
A vertex is an object in the database, basically the equivalent of a row in an SQL table
- Why would we want to use a graph database instead of a normal SQL database?
A graph database enables greater efficiency in data searching, especially when the search involves multiple levels
- A graph is an abstract data type typically used to model data that contains objects/vertex and some sort of connection between them.
- An edge is the connection between vertexes.
- A vertex is an object/node.
- Graph databases are perfect representation for those that contain large amounts of relationships between objects. It can make it easier to interact among eachother.
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What is a graph?
A graph is an abstract data type used to model data. -
What is an edge?
Edges are the representation of relationships of nodes
. -
What is a vertex?
Vertices or nodes are the representation of different objects that store data. -
Why would we want to use a graph database instead of a normal SQL database?
If you need a very strong representation of relationships in your database you would use a Graph database instead of a SQL one.
- What is a graph?
- An abstract data type that models objects and relations between them.
- What is an edge?
- It describes a relation between two objects (called nodes). Edges are like a foreign key column in an SQL database; one edge would be one cell in that column.
- What is a vertex?
- Vertex (or vertice?) is another word for node.
- Why would we want to use a graph database instead of a normal SQL database?
- Relations are directly stated;
- Searches are more efficient, especially for relations on several levels.
- Graph is useful if we have many and complicated relations and need to search through them often.
- What is a graph?
- What is an edge?
- What is a vertex?
- Why would we want to use a graph database instead of a normal SQL database?
1)Graph is a database, used to store data and is especially used for data that is heavily related.
2)Edge is the relationship between the 2 nodes it connects. Itâs like a foreign key in an SQL database
3)A vertex is like a node or like a record with its attributes in SQL. database. It is used to represent an entity object, and is comparable to a row in relational database.
4)If we have data that it is relational, because Graph database represents relational data the best.
- A graph database is an abstract
data type used to model data that contains objects, where some objects are related in a sense. The relationships between data
is as equally important to the data
itself. It is intended to hold data without constricting
it to a pre-defined model. Instead, the data is stored showing how each individual object connects
with or is related
to others.
- An edge is a relationship between two objects
(nodes)
- A vertex is an object
(node)
- A graph database is preferred over SQL, because of
a. intuitiveuse to create overview of relationships (as if drawn on a whiteboard),
b. real-timespeed to adjust relations / objects;
c. further developing the relationship overview in an agilemanner;
d. good searchabilityin the complexity of relationships.
- A graph is an abstract data type typically used to model data that contains objects, and some sort of relationship between those objects
- An edge defines the relationship between objects in a graph database
- The vertex otherwise known as a node holds object information including particular attributes
- It allows for more efficient searches that may have more complicated or abstract relationships
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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) -
What is an edge?
some sort of relationship between those objects (lines or edges) -
What is a vertex?
an object represented in a graph -
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. Namely, those that contain a large amount of relationships within the data.
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What is a graph?
A graph is a mathematical data type expressed in a series of circles (or nodes) with connecting lines that represent a stated relationship⊠It delineates seemingly random ideas connections. -
What is an edge?
An edge is a straight line that connects the circles and is representative of the relationship between the Vertex / Circles / nodes. -
What is a vertex?
A Vertex are the circles within the relationship graph that are connected by the edges (straight lines). -
Why would we want to use a graph database instead of a normal SQL database?
A graph database is a diagrammatic expression of relationships that are difficult to articulate in the SQL Tables and may not be the huge - constant and variable information that NoSQL handles. A Graph database has a mathematical data structure.
rjr
2021-03-26T04:00:00Z
Hey there - thanks for your contribution! Your answer for 3 helped me understand what was being asked - appreciate it!!
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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?
Edges are use to describe the relationships between the objects contained in the database, and in most they can be compared to the foreign key column of a row in a RDBMS. -
What is a vertex?
AKA node, contains object info to include specific attributes. -
Why would we want to use a graph database instead of a normal SQL database?
When datasets contain a large amount of relationships within the data and you need the ability to directly state the relationship between two objects. Increased efficiency under certain circumstances is also a bonus.
1. What is a graph?
A: A graph is a data type typically used to model data that contains objects (like Linkedin users), and a relationship between those objects (connections between those Linkedin users).
2. What is an edge?
A: Edges describe the relationships between the objects contained in the database
3. What is a vertex?
A: Vertexes are the objects in the database (people or other entities)
4. Why would we want to use a graph database instead of a normal SQL database?
A: They offer the ability to directly state the relationship between objects. Therefore, if the use case we deal with involves a large amount of relationships within the data, graph databases offer increased efficiency searching those relationships.
- 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).
- Edges are used to describe the relationships between the objects contained in the database.
- Vertex is used to represent an entity object.
- The ability to directly state the relationship between two objects within a graph database. Graph databases may also offer increased efficiency for searches in some cases.