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What is a graph?
A graph is an abstract data type used to model that contains objects and relationships. -
What is an edge?
An edge is a relationship between two nodes. -
What is a vertex?
A vertex is a node or an object in the database. -
Why would we want to use a graph database instead of a normal SQL database?
It makes searching through databases with many relationships faster and easier
- What is a graph?
A graph models data that contains objects which are referred to as nodes or vertices. A node is used to represent an entity object, you can compare it to a row in a relational database.
- What is an edge?
Edge are located between each node, these are used to describe the relations between objects contained in the database, also be compared to the foreign key column of a row.
- What is a vertex?
Like nodes they contain data
- 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. Researching deeper levels are more efficient using graphs then SQL. Graph database brings searching for information more simpler then searching using SQL as it would have more layers of searches.
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What is a graph?
Graph is represented by edges and vertexes. It is a mathematical representation of data and it’s relationships. -
What is an edge?
Edge is relation or relationship between two vertexes. -
What is a vertex?
Vertex contains data. It is the same as if we imagine a column in a traditional sql database. -
Why would we want to use a graph database instead of a normal SQL database?
Because we can make deep level searches much less traditional sql database resources intensive.
1.Graph is an abstract data type used to model data that contain objects where nodes/verticies are like rows and columns and edges are like foreigne key column
2. These are used to describe the relationships between the objects contained in the database. Comparable to a foreign key in a relational database.
3. vertex/node is an object that is like row and columns in rdb.
4.easier and faster in doing queries of more coplex and deep relationships between nodes
- What is a graph?
A graph is a network of nodes and the relationship between these nodes
- What is an edge?
It is a relationship between nodes
- What is a vertex?
It is a node or object in the graph
- Why would we want to use a graph database instead of a normal SQL database?
When we want to query more than one level deep
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What is a graph?
an abstract data type used to model data that contains objects and some sort of relationship between those objects. -
What is an edge?
Relations between the nodes/objects -
What is a vertex?
An object wit properties -
Why would we want to use a graph database instead of a normal SQL database?
smarter administrattion of relations between objects, faster to extract data
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What is a graph?
A data structure which uses edges and verticies to store different objects, data about the objects and the relations between the objects. -
What is an edge?
An edge is a representation of the relation between two verticies and can be weighted to store information about the relation and can be uni or bi-directional. -
What is a vertex?
A vertex represents objects the graph and can be independant of any other data. -
Why would we want to use a graph database instead of a normal SQL database?
graphs can be used to represent and analyse networks with much more complex relations than an SQL database such as neural networks and traffic.
- What is a graph? a graph is an abstract data type used to model data that contains objects
- What is an edge? Edges are use to describe the relationships between the objects contained in the database
- What is a vertex? vertex also known as node is a single object which is part of the data model
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Why would we want to use a graph database instead of a normal SQL database? Graph databases increase efficiency for searches
[/quote]
-
Graph is an abstract data type, used to model
data, that contains objects and some sort of
relationship between those objects. -
Edge is used to describe the relationships
between objects contained in the
database (similar to foreign key column) -
Vertices or nodes are the databases, which
contains all the informations. -
If we have to search something, which is more
level deep or for a larg amount of relationships or
connections, the graph database is 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.
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?
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.
- A database that can handle complex relationships
- It is a connection between 2 vertex
- It is an entity in the network which is similar to a row in SQL
- Because it is better in handling searches and relationships that are deeper then one level
1.a Graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices)
2. They describe the relationships between nodes
3. They are relationships between nodes
4. The ability to directly state the relationship between two objects within a graph database that contain a large amount of relationships within the data, rather than perform a large amount of searches in the SQL database - “Performance”
- What is a graph?
A graph is a visual representation of data consisting of nodes(data) and the relationships between those nodes (edges and vertex/vertices.)
-
What is an edge?
An edge describes the direct relationship between the nodes in a simmilar manner to the “foreign_key”
concept in relational databases. -
What is a vertex?
Vertex = node reminds me of blocks in the chain.
- Why would we want to use a graph database instead of a normal SQL database?
The main advantage comes from the visual representation itself (some data is best displayed visually and certain direct relational patterns may only reveal themselves in this format) and the increase in efficiency of complex searches. (more than one level deep.)
-
What is a graph?
an abstract way of representing nodes (data) and the relationship between them via edges or lines. -
What is an edge?
a relationship between nodes (similar to foreign_key in SQL) -
What is a vertex?
a node (an object and it’s data) -
Why would we want to use a graph database instead of a normal SQL database?
Graph allows faster search of data when the the nodes/data have multiple and complex relationships between them. It enables the user to directly state the relationship between two objects
- What is a graph?
A database that uses nodes that can be more efficient than other systems by having direct relationships
- What is an edge?
A relationship between nodes
- What is a vertex?
A node
- Why would we want to use a graph database instead of a normal SQL database?
Might be more efficient in some cases. Potentially less searching by seeing what directly relates to what you want to know and working backwards
1
a mathematical concept which helps to describe the real world with mathematical terms
2
the connection between the vertexes/items in the graph
3
one item in the graph
4
when there is no/only minimal structure in the data we cannot use SQL. Relationships are often much easier to map in graphs than in abstract rows/columns
1-What is a graph?
Is an abstract data type typically used to model data that contains nodes, and some sort of relationship between those objects
2-What is an edge?
An edge is the relationship between the 2 nodes it connects. It is like a foreign key in a SQL database.
3-What is a vertex?
A single object that is part of the whole data model or Graph. They are also known as Nodes.
4-Why would we want to use a graph database instead of a normal SQL database?
If we need to query complex relationships, a graph database will do so more efficiently.
1 What is a graph?
Graph is a datatype model of a database that abstracts data from a NODE that contains data in it and the relationship between other objects and entities known as “lines or edges”(the type of relation) in that Graph.
2 What is an edge?
Edges describe the relationships between the objects in a Graph database.
3 What is a vertex?
A vertex can be a NODE (primary keys, i.d. numbers etc) as a node is a fundamental entity a forming a Graph database. Vertices are said to be adjecent to one another when there are relational edges.
4 Why would we want to use a graph database instead of a normal SQL database?
A Graph database would be more efficient to use than a SQL database in certain data query models where a large amount of data needs to be abstracted. For example, if you wanted to query more than one or 2 levels in a SQL database a certain amount of manual work would have to go in to retrieve such data i.e…enter customer i.d., find customer data, manually check what other customers are linked to that order and so on.
In a Graph this could be retrieved a lot more efficiently and quickly.
A mathematical concept or abstract data structure.
Edge is a connection between the vertex/node.
A vertex can be described as a node/object.
It can handle large amounts of complex data and can be more efficient and connect them in a better way.
1 A Graph is an abstract data type typically used to model data contains objects and some sort relationship between those objects.
2 Edge are describe us a relationship between the objects
3 Vertices are objects such as people or artifacts
4 The ability to directly state the relationship between two objects. Also it can be more faster that SQL data base