Graph Databases - Reading Assignment

Blockchain Business Course
#641
  1. A graph is an abstract data type usually 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 shows the relationship between objects in a graph database.
  3. Also called a node, a vertex is used to represent an entity object, and is comparable to a row in a relational database.
  4. Graph databases are better in cases where there are a large amount of relationships within the data and increased search efficiency is required.
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#642
  1. A graph is a mathematical structured database connected by nodes and edges.
  2. An Edge are lines that is connected to nodes to show their relationship.
  3. A vertex is a node that stores information.
  4. Graph database will be more efficient in queries relating to more complex relationships in a database.
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#643

What is a graph?

An abstract data type used to model data that contains objects and a relationship between those objects.

What is an edge?

A relationship between two objects

What is a vertex?

An entity object (comparable to a row in a relational database) and the properties of that object

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

It gives the ability to directly state the relationship between two objects and it’s particularly useful for databases that contain a large amount of relationships within the data. It can also offer increased efficiency for searches in some cases.

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#644
  1. What is a graph? Is a database which uses nodes (vertices) which contains data. A node is used to represent an entity object, and is comparable to a row in a relational database.
  2. What is an edge? Edge describe the relationships between the objects contained in the database. (like foreign key in RDBMS)
  3. What is a vertex? A vertex (or node) is used to represent an entity object, and is comparable to a row in a relational database.
  4. Why would we want to use a graph database instead of a normal SQL database? In case if we have many relationships between data, searching would be more efficient.
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#645

  1. A graph database uses nodes to store data and edges to store the relationship.

  2. Edges are lines in a graph that represent the relationship between nodes.

  3. A vertex stores the informations of an entity.

  4. It is more efficient in retrieving large amount of relationship within the data.

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#646
  1. What is a graph?
    An abstract dababase that incluse objects and the relation between them
  2. What is an edge?
    The line or the relations that connects 2 objects or nodes of the database.
  3. What is a vertex?
    It is a node- object of the database
  4. Why would we want to use a graph database instead of a normal SQL database?
    More efficient way of researching
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#647
  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).

  1. What is an edge?

An edge represents the relationship(s) between the objects within the nodes.

  1. What is a vertex?

A vertex is another name for node, which is the object that stores the data in a graph DB.

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

In the case where there are large amounts of relationships between data and also where a search is more than one level deep. In this case, a graph DB is more efficient than RDBMS.

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#648

  1. What is a graph?
    A typical abstract data type, utilized in order to model data containing objects; known as nodes and/ or vertices.

  2. What is an edge?
    Relationships between the objects. Referred to as lines and/ or edges.

  3. What is a vertex?
    A vertex is a data object contained within a graph.

  4. Why would we want to use a graph database instead of a normal SQL database?
    Databases that contain large amounts of relationships within the data can utilize graph databases by directly stating relationships amongst objects in a graph.

Best Regards,

References:
Whitehead, K., (2017), Introduction to Graph Databases. Medium. Retrieved From: https://medium.com/@Kelsey.Whitehead/introduction-to-graph-databases-1f2480ede21c

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#649
  1. What is a graph?
    An abstract data type used to model data that contains objects (nodes) and relationships (lines or edges) b/w the objects.
  2. What is an edge?
    an edge represents the relationship b/w nodes
  3. What is a vertex?
    A vertex or node is used to represent an entity object, and is comparable to a row in a relational database.
  4. Why would we want to use a graph database instead of a normal SQL database?
    When there is a large amount of relationships b/w data and when you want to perform searches that go deeper than one level.
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#650
  1. A graph is an abstract data type typically used to model data that contains objects. It typically uses nodes and edges to define objects and reletionship.
  2. It connects nodes and shows relationship
  3. It’s a node in a graph
  4. We 'd want to use a graph when there is a large amount of relationship within the data. it also offer increased efficiency when we need to perform a search that is more than one level deep.
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#651
  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. The edge (or line) is the connection between nodes (or vertices) which describes the relationship between the nodes.
  3. A vertex (or node) is where the data is stored, compared to a record in SQL.
  4. When you have data with a huge amount of relations a graph database might be better to use since less queries have to be performed.
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#652
  1. A graph is an abstract data type usually 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 shows the relationship between objects in a graph database.
  3. Also called a node, a vertex is used to represent an entity object, and is comparable to a row in a relational database.
  4. Graph databases are better in cases where there are a large amount of relationships within the data and increased search efficiency is required.
1 Like
#653

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.
A graph database uses nodes to contain data. Graph databases also contain edges between these nodes. These are used to describe the relationships between the objects contained in the database. In most cases they can be compared to the foreign key column of a row in a RDBMS.
3.
A vertex is another word for node.
4.
For datasets that contain a large amount of relationships within the data, a graph database is advantageous. Also, graph databases offer increased efficiency when a search is performed that is more than one level deep

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#654

  1. A graph is a data type that uses vertices contains data that are connected with edges that describe the relationship between vertices.

  2. An edge is what describes the relationship between vertices.

  3. A vertex is an object or data.

  4. It would be easier to use for more complex relationships where there are multiple layers of relationships.

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#655
  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. Its a relationship between two different objects, objects are entities you put in the database.
  3. A vertex is the same as a node.
  4. Graph databases are more efficient than SQL for large amounts of data.
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#656
  1. 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). in another words in can take complicated searches on tables and visualize them in easy to follow relationship ship as graphs and links.
  2. Graph databases also contain edges between each node. 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. edges are the explanation of the relationship of the objects.
  3. an object or an entity.
  4. 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.
    we would use it if we want to show complex data on an simple and easy to understand graph by just looking at it.
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#657

Graph Databases - Reading Assignment

  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)
  1. What is an edge?
  • edges are used to describe the relationships between the objects contained in the database
  • edges are the lines that connect nodes to other nodes; representing the relationship between them.
  • in most edges can be compared to the foreign key column of a row in a relational database
  1. What is a vertex?
  • vertices (singular vertex) are objects in a graph database, such as people or artifacts.
  1. Why would we want to use a graph database instead of a normal SQL database?
  • if there are many relationships within the data
  • graph database offers increased efficiency for searches
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#658
  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?
    Graph databases also contain edges between each node. 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?
    Graph databases consist of three elements: vertices, edges and properties Vertices are objects, such as people or artifacts. Edges define the relationships between nodes. … An edge in the graph is labeled authored. Labels specify the types of vertices and edges that make up the graph.
  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. Especially in instances where there are large amounts of relationships between objects.

:ok_hand:

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#659
  1. Graph is a type of database that contains objects and the relations between those objects.
  2. Edge represents the relationship between the objects,
  3. Vertex is the object.
  4. It can be searched with less resources if there are larga amounts of connections in the database.
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#660
  1. What is a graph? --> It is where a node data object which holds information like a row in RDBMS) and is linked to other nodes to form the graph structure
  2. What is an edge? --> Contains the relationship between nodes within the graph (i.e. foreign key to link objects)
  3. What is a vertex? --> Vertex is a node within the DB.
  4. Why would we want to use a graph database instead of a normal SQL database? --> Faster for searches where we need to find information linked to nodes/vertices
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