Graph Databases - Reading Assignment

  1. An abstract data type that contains objects called nodes, and the relationships between those objects.
  2. Edges are used to describe the relationships between nodes inside the graph database.
  3. Vertices are nodes in the graph database.
  4. Searching the data and finding complex relationships between nodes is easier.
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  1. An abstract data structure
  2. The line/connection between two nodes
  3. A single entity containing information pertaining to that entity
  4. It’s a more efficient way to calculate the relationship between two entities
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  1. What is a graph?
    graph is an abstract data type typically used to model data that contains objects

  2. **What is an edge?**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?
    A single object that is part of the whole data model or Graph. They are also known as Nodes and are connected by edges.

  4. Why would we want to use a graph database instead of a normal SQL database?
    for databases with large amount of relationships within the data .

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  1. It’s an abstract data type where data is represented as nodes and have a relationship shown with lines or edges.

  2. Edge is used to describe the relationship between different nodes.

  3. Vertices are the objects in the graph and they generally have some properties.

  4. It’s good when you have multiple relationships between different objects.

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  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, and in most cases they can be compared to the foreign key column of a row in a RDBMS.

  1. What is a vertex?

A vertex or a node is an object contained by the Graph data base.

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

Because of the ability to directly state the relationship between two objects within a graph database which is a strong advantage over relational database systems for certain datasets, especially over those that contain a large amount of relationships within the data.
Another advantage is the increased efficiency when searching more than one level deep.

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  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 describes 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. Vertices are objects, such as people or artifacts
  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.
  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 the relationship between different nodes.

  3. Vertices are represented by the objects/people in the graph.

  4. Because of the ability to directly state the relationship between two objects within a graph database, specially for 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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  1. What is a graph?
    A graph is an abstract data type typically used to model data that contains objects (nodes or vertices), and many relationships between those objects (lines or edges).
  2. What is an edge?
    It is a relationship that connects 2 objects.
  3. What is a vertex?
    it is a single object or node.
  4. Why would we want to use a graph database instead of a normal SQL database?
    Due to the ability to directly state the relationship between two objects within a graph. Prefered for storing data that has many relationships between each object.
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1)Graph is a abstract data type typically used to model data that contains objects referred to as nodes or vertices
2)Edges represent some sort of relationship between objects contained in the data base
3)Vertices or nodes contain data . It is used to represent entity object
4)Graph help to directly state the relationship between two objects within graph and increasing efficiency in some of the cases

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  1. What is a graph?
    A Graph is an abstract type of database that contains objects and the relationships between those objects.

  2. What is an edge?
    An edge is the link showing the relationship between one object and another.

  3. What is a vertex?
    A vertex is an object; it is the data set or node.

  4. Why would we want to use a graph database instead of a normal SQL database?
    We’d wanna use a Graph database because it can handle more complex search queries. You can search for deeper level relationships between objects, rather than just relationships at the surface level.

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1. 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.
2. What is an edge?
The relationships between nodes. It represents a foreign key column of a row.
3. What is a vertex?
It represents an object with information. It could be a row with each column as object properties in a RDBMS.
4. Why would we want to use a graph database instead of a normal SQL database?
Because:
• There are a lot of relationships within the data.
• It increases efficiency for searches. More than one level deep.

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1/ A graph database: 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: also known as a line. it represents the relationship between the 2 nodes it connects. It is like a foreign key in a SQL database.

3/ A vertex: also known as node. It represents an entity object, and is comparable to a row in a relational database

4/ Using graph database allows search for data easier when there are many relationships among data

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Assignment

  1. What is a graph?
    A graph is a way to represent data types containing nodes as individual data, containing elements that’s comparable to columns and also lines / vertices showing the relationships between data sets.
  2. What is an edge?
    Edges are the lines showing the relationships between two datasets / nodes
  3. What is a vertex?
    Vertex is the node that represent an individual data. This is equivalent to Rows in RDBMS
  4. Why would we want to use a graph database instead of a normal SQL database?
    More efficient queries when compared to running queries over the normal SQL database
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  1. A graph is a structure which represents different objects (nodes) and their connections to each other(edges)
  2. An edge in the graph theory is the connection between two nodes
  3. Another word for node
  4. A graph database is better than SQL if you have a database with lot of relations and it may be more efficient for searches in some cases
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What is a graph?

Graph is a data structure that operate through queries and its model contains objects (nodes or vertices).

What is an edge?

An Edge is equivalent to Foreign Keys in a relational database.

What is a vertex?

A vertex defines actual data.

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

We want to use a graph database instead of a normal SQL database when we need to store complex relations in a database .

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  1. A graph is a mathematical abstract depiction model of a database that contains nodes to store data
    and lines to communicate relationship information.

  2. An edge is the communication lines conveying relationship data.

  3. A vertex is a node or where data is held, possibly related to a subject or group as would a Row in a
    RDBMS.

  4. Graph Databases offer an advantage of efficiency when it comes to more complex multi level
    relationships

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Graph: Visualized data type showcasing vertices and shows a relationship.
Edge: the line between vertices connecting separate vertices
Vertex: Vertices are objects/datapoints showcasing this usually graphically.
Graph databases are the best representation for a large amounts of relationships. Also graphs are useful for structural data.

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  • 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)
  • 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.
  • An object it holds properties (like vertices)
  • 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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  1. What is a graph?
    A graph is an abstract data type typically used to model data that contains objects, and some sort of relationship between those objects
  2. What is an edge?
    A edge describes the relationships between the objects contained in the database, mostly can be compared to the foreign key colum in a relational database
  3. What is a vertex?
    A vertex or Node is used to represent an entity object, and is compareable to a row in a relational database
  4. Why would we want to use a graph database instead of a normal SQL database?
    Because of the ability to directly state the relationship between two objects within a graph data base
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  1. What is a graph?
    A graph is an abstract data type- it models data that contains objects (aka nodes/ vertices), and the relationship between those objects (aka lines/ edges).

  2. What is an edge?
    Edges occur between each node and describe the relationship between the objects in the database.

  3. What is a vertex?
    Vertices are the objects/ nodes contained in the database.

  4. Why would we want to use a graph database instead of a normal SQL database?
    Graph databases are better suited for data that contains large amounts of relationships between objects; it is faster to search for these relationships when using a graph database.

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