Graph Databases - Reading Assignment

Blockchain Business Course
#621

  1. A graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices)

  2. The relationships between the objects/nodes of the database.

  3. It represents an object with information.

  4. Graph databases are more efficient in retrieving data where there are many connections or relationships between nodes.

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#622

  1. A graph is a way of storing data into nodes that are connected to other nodes to establish and define relationships.

  2. An edge is what shows which node is related to another. Similar to a foreign key in RDBMS

  3. Vertex is basically a row entry in a RDBMS which also stores the properties or the column info that identifies what the row entries describe.

  4. Graph DB is easier to navigate deeper levels of relationships than relational DBs.

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#623

  1. What is a graph?

    • In discrete mathematics, and more specifically in graph theory, a graph is a structure amounting to a set of objects in which some pairs of the objects are in some sense “related”. The objects correspond to mathematical abstractions called vertices (also called nodes or points) and each of the related pairs of vertices is called an edge (also called link or line). Typically, a graph is depicted in diagrammatic form as a set of dots or circles for the vertices, joined by lines or curves for the edges. Graphs are one of the objects of study in discrete mathematics.

  2. What is an edge?

    • A relationship between vertices

  3. What is a vertex?

    • An objects corresponding to some abstractions

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

    • To model complex relationships and provide the capability to draw inference thus providing information which is NOT explicitly written in the database.
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#624

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

  2. An edge is a connection between nodes that’re used to describe the relationships between the objects contained in the database. In the article they are likened to foreign keys.

  3. A vertex is a node or object within the graphical database.

  4. Graph DBs are useful for instances where there are large amounts of relationships and variation of relationships within the data and understanding those relationships is a key function of the data being stored.

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#625
  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 used to describe the relationship between the objects contained in the database.
  3. Vertex is an object that has properties.
  4. Graph databases are the perfect representation for those that contain large amounts of relationships between objects. Usually when the relationships run 2 levels deep or more.
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#626

  1. A graph is data type that is used to model data containing objects.

  2. An edge is something that is used to describe relationships between objects in a database.

  3. Vertex is a single object in a database

  4. Graph db highlight relationships between objects better when the relationships are complex and deep.

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#627

  1. A graph is an abstract data type used to model data containing objects, referred to as nodes or vertices. with some sort of relationship between those objects (lines or edges)

  2. An edge describes the relationship between the objects contained in the database.

  3. A vertices is an object or artifact.

  4. The advantage of a graph database over a relational database, is that using a graph database you can easily find specific relationships much quicker. such as who a person has worked with within a specific location environment using for example an id number.

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#628

  1. What is a graph? - A graph database uses graph structures to query relational information between data objects, referred to as nodes or vertices. It is the relationship between the data that is the priority.

  2. What is an edge? - Represents/describes the relationship between the nodes or vertices.

  3. What is a vertex? - Is a single node, a data object such as an entity or person etc…

  4. Why would we want to use a graph database instead of a normal SQL database? - A graph database is the preferred choice for highly relational data. Graph databases do not have a fixed data structure and allow for data manipulation and faster retrieval.

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#629
  1. A graph is an abstract data type typically used to model data that contains objects (nodes) and some sort of relationships between these nodes (lines/edges)
  2. Edges describe the relationships between nodes and can be compared to foreign keys of relational databases
  3. A vertex is a single object in a database
  4. The ability of stating direct relationships makes it superior to relational databases in cases, where a large amount of relationships are processed -> deeper than one level
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#630

  1. What is a graph?
    A graph is an abstract data type that contains nodes and lines.

  2. What is an edge?
    A relationship between objects (line).

  3. What is a vertex?
    An object (node).

  4. Why would we want to use a graph database instead of a normal SQL database?
    It is much easier to perform more complex and deeper searches in a Graph database.

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#631

  1. What is a graph?
    Graph is an abstract representation of nodes and edges, where nodes represent objects or individuals (similar to row entries in relational data base) and edges represent the relationhship between nodes.

  2. What is an edge?

edge represents the relationship between two nodes or vertices.

  1. What is a vertex?
    vertex is an object

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

For complex interaction graph databases are more efficient than sql databases

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#632

  • 1.What is a graph?
    Uses nodes that contain data.

  • 2.What is an edge?
    Relationships between objects in a graph database.

  • 3.What is a vertex?
    Objects in graph database.

  • 4.Why would we want to use a graph database instead of a normal SQL database?
    When you want to perform searches that go deeper than one level. For example a search to find what other employees work in the same department as “employee A”.

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#633

  1. 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.

  2. The relationships between the objects/nodes in the graph (like the foreign key in SQL).

  3. Another word for the objects or nodes in the graph (which would be the rows in an SQL database).

  4. When there are a lot of relationships in the data then it can increase the efficiency.

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#634
  1. A Graph is data model that uses nodes/vertices to contain data and uses lines/edges to define relationships between each node.
  2. An edge is used to describe the relationships between nodes, similar to the foreign key column of a row in a relational database.
  3. A vertex is the node that represents an entity object. It contains properties of that entity, just like columns in a relational database.
  4. A graph database emphasizes the relationship between two objects, so it is a better choice than a normal SQL database when there are large amount of relationships within the data.
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#635
  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 or line is used to describe the relationships between the objects contained in the database, they can be compared to the foreign key column of a row in an RDBMS.
  3. A Vertex or Node is used in a graph database to represent an entity object and is similar to a row in a RDBMS.
  4. you would want to use a graph database when there are large amounts of relationships within the data and you need the ability to directly state the relationship between 2 objects, making the database more efficient.
#636
  • What is a graph?

Graph is an abstract data type typically used to model data that contains objects and some sort of relationship between those objects.

  • What is an edge?

The relationship between the objects/nodes

  • What is a vertex?

A node that contains data

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

When you have large amounts of relationships within the data, easier to search the relationship and overview

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#637
  1. Abstract data type typically used to model data that contains objects (nodes or vertices), and some sort of relationship between those objects (lines or edges). These nodes contain the data.
  2. It describes the relationships between the objects contained in the database
  3. Vertex or node is the data object.
  4. Directly state the relationship between two objects, deeper level queries
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#638

  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 between the objects in the graph database.

  3. A vertex or node contains data and is comparable to a row in a relational database.

  4. We would want to use a graph database instead of a normal SQL database, when you have dataset that contains a large amount of relational data. This is because graph databases have the ability to directly state relationships between objects within a graph.

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#639
  1. What is a graph?
  2. A graph database uses nodes or vertices to function as records in a SQL database. The nodes are connected by lines or edges which record the relationships between nodes.
  3. What is an edge?
  4. An edge is the relationship between the 2 nodes it connects.
  5. 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.
  6. Why would we want to use a graph database instead of a normal SQL database?
    they highlight better the relationship between different vertices, and can be faster to extract data when relationships between different vertices or objects are important
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#640
  1. A graph is an abstract data type used to mode; Data that contains: Objects referred to as Nodes or Vertices and have some sort of relationships between these objects -lines or edges
  2. An edge is a relationship between objects/nodes contained in the database. This can be compared to the FOREIGN KEY column in a RDBS.
  3. A vertex represents an object with information. It is like a row with each column as properties in a RDBMS.
    4.Graph goes deeper than level 1 search. it has a lot of relationship within the data.It increases efficiency for searches .
    You have the ability to directly state the relationship between 2 objects within a graph.
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