Graph Databases - Reading Assignment

Blockchain Business Course
#161

  1. it is a database that contains data within nodes as entity objects and the properties of that entity, the nodes are connected with lines which represents the relations between them

  2. The lines between the nodes

  3. A node

  4. When there are many complex levels of relationships between objects we have to search through, a graph may be faster and simpler to use

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#162
  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. Edges are used to describe the relationships between objects in the database, they can be compared to Foreign Keys in SQL database.
  3. Vertex are nodes, comparable to record in SQL database.
  4. It offers a more efficient way to perform some multi-level deep search.
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#163

  1. What is a graph?
    A type of database represented by nodes and lines.

  2. What is an edge?
    A line between 2 nodes stating the relationship.

  3. What is a vertex?
    A node grouping the property of a group of data. It’s like a row in a table.

  4. Why would we want to use a graph database instead of a normal SQL database?
    For datasets with several relationships and for multi-level searches.

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#164

  1. A graph is an abstract data type typically used to present data that contains many objects with many relationships.

  2. Edges describe the relationships between objects in the database.

  3. A vertex is the same as an object.

  4. Graph databases can directly state the relationships between objects in a database, and therefore are better when you need to handle large amounts of data and relationships. Graph databases can offer more efficiency in searches in some instances.

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#165

1
One of the 4 kind of databases. The one to use when searches on relations the type 2nd grade (or more) are possible and frequent.

2
The lines connecting the entities visualized in the graph, they represent the kind of relationships. It’s comparable to a foreign-key in the SQL tables.

3
They are the entities possibly “linked” to the others to entertain relations of some sort. They have tables with fields, their properties.

4
To perform searches on the relations of the vertexes. The output is fast and light in term of resource used.

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#166
  • What is a graph?
    Database that tracks specific relationships between objects that can differ
  • What is an edge?
    Relationship between two objects
  • What is a vertex?
    Basically an object akin to column in RDBMS
  • Why would we want to use a graph database instead of a normal SQL database?
    If we are looking for 2nd level search, graph may work better as it’s faster to perform than having to search through multiple tables.
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#167

  1. What is a graph?
    A graph is a representation of data that links data objects through relationships.

  2. What is an edge?
    An edge is the link or relationship between data points

  3. What is a vertex?
    A vertex is a point or value in the dataset, also refered to as a node.

  4. Why would we want to use a graph database instead of a normal SQL database?
    In a dataset where there are many relations in the data a graph database will make it easier to search through the complex relations. Graph databases allow the direct relations between values to be more easily defined.

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#168
  1. A graph is an abstract data type typically used to model data that contains objects, and some sort of relationship between those objects.
  2. An edge is a relationship or line between two objects in a graph.
  3. A vertex is an object in a graph database.
  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. 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.
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#169

1- a graph is an abstract data type typically used to model data that contains objects and some sort of relationship between those objects.
2- An edges is some sort of relationship between entity objects.
3- is an object within a graph database such as a person with various properties.
4- when a business needs to perform a search that is more than one level deep. Graph offers a better structure

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#170
  1. a graph is an abstract data type typically used to model data that contains objects like nodes and some sort of relationship between those objects.
  2. Edges/Lines represent a relationship between nodes/objects
  3. vertex is a node within the graph database
  4. It can do more complex queries when objects have more relations and work also more efficient.
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#171

1 A graph is a data structure type where objects are represented with relationships already established in each node
2 The edge is the relationship
3 The Vertex is the object
4 Where flexibility is needed as data changes and the database structure needs to up-date and change over time.

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#172
  1. a graph relates the data items in the store to a collection of nodes and edges
  2. a edge represents the relationships between the nodes
  3. objects, such as people or artifacts
  4. if your data has a large amount relationships within the data
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#173
  1. an abstract data type typically used to model data that contains objects
  2. are used to describe the relationship between objects contained in a database
  3. an entity such as a person, place, or object and is comparable to a row in a relational database
  4. when there is a complex relationship between data items
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#174
  1. a graph is an abstract data type typically used to model data that contains objects and relationship between those objects.
  2. Relationship between objects is called edges.
  3. Object is considered as node or vertex.
  4. It 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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#175

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?

The way to relate the different objects in the database. Can be compared to the foreign key column in RDBMS.

  1. What is a vertex?

The different objects

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

When you need to perform a search more than one level deep graph databases offers a better structure.

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#176

  1. What is a graph?
    A: a graph is an abstract data type used to model data that contains objects and some sort of relationship between those objects

  2. What is an edge?
    A: 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?
    A: the fundamental unit of which graphs are formed

  4. Why would we want to use a graph database instead of a normal SQL database?
    A: the efficiency is significantly increased and the speed

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#177
  1. A graph is a database consisting of nodes, which can hold data and their properties. These nodes are directly connected by edges (lines), which directly demonstrate the relationship between said nodes.
  2. An edge is the relationship between nodes.
  3. A vertices is a node - otherwise an object contain data and their properties.
  4. Graph databases can handle much larger quantities of data and relationships between data as they are directly linked. Because of the way it is structured, it balances functionality, performance and scalability quite well, whereas an RDBMS or NoSQL achieve their aim at the cost of sacrificing the other. (that said, they all have their uses)
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#178
  1. A graph database is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices), and some relationship between those objects (lines or edges).
  2. Edges 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 an RDBMS.
  3. Typically a node/vertex is used to represent an entity object and is comparable to a row in a relational database. Each node/vertex also 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.
  4. A graph database’s ability to directly state the relationship between two objects within a graph database provides a definite advantage. It also offers increased efficiency for searches in some cases.
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#179

  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. An edge is a way of denoting a relationship between two nodes.

  3. A vertex is a node, which is normally part of a larger system that can be represented on a graph.

  4. It saves time since you can follow the links attached to the nodes to find relevant information, instead of having to go and find another table manually.

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#180

A graph is a bunch of data objects (“nodes”) and some relations between them.

edges or lines are the links between the nodes.

It is also known as a node and is an object containing data, comparable to a row in SQL.

To manage databases with very complex relationships.

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