Graph Databases - Reading Assignment

Blockchain Business Course
#121

  1. A graph is an abstract data type that used to model data that contains objects with certain relationship between those objects.

  2. An edge is the connection between two nodes.

  3. Same as a node.

  4. A graph database can directly state the relationship between two objects in the database. In terms of deep search, graph database provides higher efficiency searches.

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#122
  • What is a graph?
    In this context a graph is an abstract data type that uses nodes/vertices to store data the way a table does in a relational database and uses lines/edges to represent the relationships between nodes.
  • What is an edge?
    An edge is a connection between node objects that describes the relationship between objects.
  • What is a vertex?
    A vertex is another name for a node and is a data object.
  • 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.
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#123

  1. What is a graph?
    A graph is an abstract data type typically used to model data that contains objects.

  2. What is an edge?
    Is the relationship between nodes of a graph.

  3. What is a vertex?
    Is a part of a graph and 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?
    We can directly state the relationship between two objects within a graph database and 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.

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#124
  1. It is an abstract data type that represent relations between different objects that are a part of a data model.
  2. Edges represent relations between nodes.
  3. It is an object also refereed, as nodes and which has its attributes.
  4. The graph database has an advantage when compared to the classical SQL in depicting complex and multilevel relations between objects.
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#125
  1. A graph is a sort of relation of lines and objects (nodes).
  2. An edge is also called lines to connect nodes like Foreign Key in SQL database.
  3. Vertex is a point where two or more edges are meet.
  4. It is a simpler an efficient way to search for a specific information compare to SQL database especially when you search for more than one level deeper in an organisation.
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#126
  1. Abstract data type typically used to model data that contains objects and some sort of relationship between those objects.
  2. Relationship or link between 2 different objects.
  3. A vertex is another name for a node and is a data object.
  4. The Graph database has the ability to directly states the relationship between two objects, which is a strong advantage to SQL database.
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#127

  1. Graph is a abstract data type, used for modelling data.

  2. The edge/line between two nodes show their relationship between each other.

  3. A single object in graph/model

  4. When you have huge amount of objects abd relationship between objects it’s much easier to identify and reflect relationships between objects.

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#128

  1. A graph is an abstract data type typically used to model data that contains objects called vertices(singular; vertex) or nodes.

  2. the relationship, also called lines, between the vertices

  3. A node that represent an object within graph database that contains data.

  4. Graph databases have a strong advantage over relational database systems where datasets contain large amounts of relationships within the data, for example deep learning.

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#129

1.What is a graph?
A graph database is a database comprised of a node and a relationship.

2.What is an edge?
The relationship between the nodes/vertices.

3.What is a vertex?
An object within the graph database.

4.Why would we want to use a graph database instead of a normal SQL database?
A graph database would be advantageous over SQL when deeper, multilevel searches of relationships are required.

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#130

  1. What is a graph?
    A graph is a viisual representation of data represented by nodes or vertices and their relationships between eachother represented by lines or edges

  2. What is an edge?
    An “Edge” shows the relationship between nodes or vertices. They are the lines that connect nodes together in a visual representation

  3. What is a vertex?
    A “Vertex” or “Node” are objects containing data shown on a graph database

  4. Why would we want to use a graph database instead of a normal SQL database?
    If you had large amounts of data which you needed to deep dive into and look at the relationships between them more so than just the data

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#131
  1. It’s a data structure that contains objects and the relationships between them.
  2. The relationship between the objects.
  3. Vertex is a node which holds objects
  4. It might be preferable for data containing multiple complex relationships.
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#132

  1. What is a graph?
    A date structure that contains objects(nodes) and complex relations between them

  2. What is an edge?
    A relation between vertexes.

  3. What is a vertex?
    A node, or a something similar to a row in RDB

  4. Why would we want to use a graph database instead of a normal SQL database?
    Whenever we have complex relationships between data it is better to use Graph

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#133
  1. A graph database is one modeled on nodes (objects) and relationships amongst them.
  2. An edge is a description of the relationships between nodes
  3. A vertex is a node
  4. When we want more efficient access to relationships
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#134
  1. Graph database uses objects also known as nodes to record in database by connecting through lines or edges forming their relationships.
  2. They are used to describe the relationship between objects.
  3. Vertices are objects also know as nodes.
  4. It is more useful for more complex relational date that contain large amounts of relationships within data.
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#135

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 is a relationship
3] Vertex is an object entity
4] More efficient way of recording and searching complex data relatshionships

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#136

1, A type of database that stores information in a network of nodes with visual connection to other nodes to represent relationships.

  1. An edge is the relationship between the nodes.

  2. A vertex is another term for the nodes, which contain information pertaining to a piece of data.

  3. You can demonstrate multiple pieces of information pertaining to the relationships between data. Ex: you can state X person knows Y person, but also how they know them, since when, etc… all at the same time.

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#137

  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. It is the Relationships between the objects contained in the database. Comparable to a foreign key in a relational database.

  3. Vertex known also as node us used to represent an entity object and is comparable to a row in relational DB.

  4. When there is large amount of relationships between objects. When those relationships are more complexes.

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#138

1- A graph it a translation of the real world in mathematical terms. It is about trying to solve real world problems using math. It establish the relationship between nodes or vertex.

2- An edge is the connection between the participants, it is the line of the graph.

3- It is the circle, the subject.

4-When you want to know more in depth data.

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#139

  1. What is a graph?
    This is a relationship database used for complexes queries. Data is stored in vertices (also called nodes) and these vertices are linked between each other by edges (also called lines).

  2. What is an edge?
    An edge, also called a line, is the link that connects the vertices.

  3. What is a vertex?
    A Vertex, also called a node, is where the data is stored.

  4. Why would we want to use a graph database instead of a normal SQL database?
    A graph database allows complex requests (with several levels) to be executed more quickly.

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#140

  1. A graph is another way of storing data which is not based on a normal database. Instead the data is stored in so called objects/nodes (representing rows in a SQL database) which contains properties (representing the column in a SQL database) and have also edges which builds the relationshp between the nodes.

  2. An edge is a relationship between two objects/nodes

  3. A vertex is a node or object which could be seen as a row in a SQL database.

  4. Graph databases have advantages regarding complex searching tasks. When you want to search something and this search is very deep which means you have to search in lots of relations, graph databases are faster and easier, so that make graph in this specific use cases more efficient.

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