1.what is a graph?
We’ll start with a very basic introduction to graphs — 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 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.
3.what is a vertex?
This is the node that represents an object in the database and is connected to other nodes via edges.
4.why would we want to use a graph database instead of a normal SQL database?
When there is a large amount of relationships within the data and increased search efficiency is needed.
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The structure of the database. It contains the nodes (information) and relationships between other nodes.
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Edges describe relationships between nodes. For example: Node 1 - John, Node 2 - Bob, Edge - In the same club, both joined 2014.
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The nodes that have information connected to them.
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You can compare relationships between two objects at the same time. Say, you get to see if two people work in the same department or whether they’re in the same club.
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What is a graph?
An abstract data type normally 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 relationship between two nodes it connects, just like a foreign key in SQL database. -
What is a vertex?
Node or record with attributes in SQL database -
Why would we want to use a graph database instead of a normal SQL database?
Searching for data easier
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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).
allowing the ability to directly state the relationship between two objects within a database providing a strong advantage
over a relational database systems for certain datasets. -
What is an edge? :
Is used to describe the relationships between the objects contained in the graph database.
They can be compared to the foreign key column of a row in a RDBMS. -
What is a vertex? :
A single object that is part of the whole data model or Graph.
They are also known as Nodes and are connected by edges. -
Why would we want to use a graph database instead of a normal SQL database? :
Graph databases are more advantageous over SQL as they allow for simplified and direct data searches for databases containing a high-level of relationships.
- What is a graph?
An abstract data type used to model relations between data points
- What is an edge?
Relationship between nodes
3. What is a vertex?
Entities in graph, could be thought of as nodes.
- Why would we want to use a graph database instead of a normal SQL database?
Because searches are more deeper and more efficient.
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, and in most
they can be compared to the foreign key column of a row in a RDBMS. (Links that connect the vertices)
What is a vertex?
-A vertex (plural vertices) in computer graphics is a data structure that describes certain attributes,
like the position of a point in 2D or 3D space, or multiple points on a surface.
Why would we want to use a graph database instead of a normal SQL database?
-if we were to have many relationships within the data,increased efficiency.
1 - It’s 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 - It’s the equivalent of Foreign Key in SQL database. It connects nodes.
3 - It’s the equivalent of Row in SQL database. It represents an entity object.
4 - Getting quicker results when searching data with a lot of relationships (or edges)
- What is a graph? The article defines it as “a graph is an abstract data type typically used to model data that contains objects”
- What is an edge? The lines “relationships” that connect the nodes
- What is a vertex? The objects. Like people, computers…
- Why would we want to use a graph database instead of a normal SQL database? If there is complex relationships
Hi everyone,
- 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 graph database, that can be compared to the foreign key column of a row in a RDBMS.
- That is a node in the graph database, it will contain a record like a row in a RDBMS (for example a user with name, height, etc.)
- If there is a large amount of relationships within the data, graph databases can be preferred. They will be more efficient for searches in some cases.
- It is an abstract data type that contains objects with has some relationship between them.
- The relationship between objects in a graph database is called edge.
- Objects are represented by nodes or vertex that contain data.
- It has an advantage on those database that contains multiple relationships between them.
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What is a graph?
It is a representation of a model that has objects as nodes or vertices and relationships between each other as lines or edges. -
What is an edge?
The relationships between nodes. It represents a foreign key column of a row. -
What is a vertex?
It represents an object with information. It could be a row with each column as object properties in a RDBMS. -
Why would we want to use a graph database instead of a normal SQL database?
With a Graph Database you have the ability to directly state the relationship between two objects within a graph. A Graph Database may also increase efficiency for searches like when preforming a search that is more then one level deep.
1.) A graph is a type of abstract data that is typically used to model objects (referred to as nodes or vertices) and some sort of relationship between those objects.
2.) An edge is a space between each node in a database that is used to describe the relationships between a graph’s objects (similar to a key column row in an RDBMS database).
3.) A vertex is an object or node in which the graph database is displaying relationships to. For example, a car-type-versus-gas-mileage graph database’s vertex would be the type of car. Gas mileage is displayed for each type of car, and the values found in the database show how the gas mileage value is affected depending on the type of car (SUV, compact, truck, etc).
4.) One would want to use a graph database instead of a normal SQL database in a situation that involves a lot of searching within rows, but contains fewer general objects/tables. Efficiency in finding specific row spots is increased with retraced searching of a graph database.
- A graph is an abstraction of a model, which consist of nodes/vertices and edges.
- The edge represents a relationship between two nodes.
- The vertex contains specific dat within graph databases.
- Graph databases are a more efficient way, if we are interested in data which is more then ‘one level deep’.
- 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? 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? it’s a node or a single object that is part of the whole data model
- 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.
Graph databases may also offer increased efficiency for searches in some cases. The best example of this is when a business needs to perform a search that is more than one level deep. As an example, let’s consider a database storing corporate structure information.
- What is a graph?
A. A graph is an abstract data 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?
A. An edge is between each node. These are use to describe the relationships between the objects contained in the database. - What is a vertex?
A. Also known as nodes. - Why would we want to use a graph database instead of a normal SQL database?
A. To directly state the relationship between two objects within a graph database.
- A graph database uses nodes or vertices to function as records in a SQL database. The nodes are connected by lines or edges which record the relationships between nodes.
- An edge is the relationship between the 2 nodes it connects. It is like a foreign key in a SQL database.
- A vertex is a node or like a record with its attributes in a SQL database.
- Can make searching for data easier and discovering the many relationships between data easier to comprehend.
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What is a graph?
Ans: A graph is an abstract data type typically used to model data that shows the relationship between objects -
What is an edge?
Ans: An edge describe the relationships between the objects contained in the database -
What is a vertex?
Ans: A vertex is an object or node in which the graph database is displaying the relationships. -
Why would we want to use a graph database instead of a normal SQL database?
Ans: Using a graph data base can directly state the relationship between two objects within a graph database, especially those that contain a large amount of relationships within the data.
- A graph is an abstract data type containing objects (nodes or vertices) and relationships between them (lines or edges).
- An edge represents relationships between objects in the graph database.
- A vertex represents the object and its description.
- When there are large amounts of relationships between objects we would us a graph database.
An abstract datatype which uses nodes to contain data.
Edgde is the relationship between two nodes - objects.
Verticies are the nodes in the graph database.
Graph databases can handle more complex seach quereis and its handy if yo uhave lots of complicated relationships in your database.
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What is a graph?
A graph is a data type that contains objects and a relationships between those objects. -
What is an edge?
Edge acts as a “foreign key” in a RLDBMS to create relationships between the nodes. -
What is a vertex?
Vertex is a object that contains information, it is similar to a “row” in a RLDBMS -
Why would we want to use a graph database instead of a normal SQL database?
When you need to perform deeper searches (more than one level) on the large amount of data, graph database structure is much more efficient than in SQL database.