Graph Databases - Reading Assignment

Blockchain Business Course
#741
  1. What is a graph? An abstract data type used to model data that contains objects (i.e. nodes or vertices) and relationships between these objects represented by lines (edges).
  2. What is an edge? Describe the relationships between objexts and are comparable to a Foreign Key column of a row in an SQL table
  3. What is a vertex? Represents an entity object – comparable to a row in an SQL table. Also contains the properties of that entity, which are likened to the field names of the corresponding SQL tabled
  4. Why would we want to use a graph database instead of a normal SQL database? A graph DB allows one to more easily directly state a large number of relationships in the data, and to efficiently perform complex multilevel searches.
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#742
  1. A graph is an abstract data type used to model data that contains objects.

2). An edge is used to describe relationships between objects within the graph database.

3). A vertex is a node or computer containing data that represents an object entity within the webwork of the database.

  1. graph databases would be preferred over normal SQL databases when a data structure contains many relationships between objects.
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#743
  1. Graph is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices).
  2. One of the connections between nodes (or vertices) of the network
  3. One of the objects that are connected together
  4. For more complex databases. It’s faster, don’t have a strict schema and don’t have to define it upfront. It can handle many to many.
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#744
  1. What is a graph?
    An abstract data type that typically models data that contains objects and the relationship between those objects.
  2. What is an edge?
    edges are between nodes and they describe the relationships between nodes in the data base.
  3. What is a vertex?
    a vertex is a node which represents an object entity.
  4. Why would we want to use a graph database instead of a normal SQL database?
    When we have many complex relationships, graph databases are preferable as it increases search efficiency.
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#745

Q1, It’s 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.
Q2, An edge describes the relationship 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.
Q3, A vertex/vertices is a node used to represent an entity object and is comparable to a row in a relational database.
Q4, A graph data base would be used to increase search efficiency.

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#746

  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 the means by which we can describe the relationships between the objects contained in the graph database, and in most cases, they can be compared to the foreign key column of a row in an RDBMS.

  3. A vertex (or node) is an object that is contained within a graph database. A graph database uses its nodes to contain data. Typically, a node is used to represent an entity object and is comparable to a row in a relational database. Each node also contains the properties of that entity, which can be anything the business needs to keep track of (ID numbers, location, etc.).

  4. We would want to use a graph database instead of a normal SQL database if our dataset contains a large number of relationships within the data. Indeed, 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. 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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#747

1. What is a graph?
A graph is an abstract data type typically used to model datat that contains objects (referred to as nodes or verticies), and some sort of relationship between those objects (lines or edges).
2. What is an edge?
Edges are used to describe the relationships between the objects contained in the databse, and more often, they can be compared to the foreign key column of a row in a RDBMS.
3. What is a vertex?
A vertex is a single object in a data model or graph database. They can also be known as Nodes and are connected by edges.
4. Why would we want to use a graph database instead of a normal SQL database?
One would want to use a graph database in cases that you need to directly state the relationship between two objects within a graph and when lots of searches are created and efficiency is imperative.

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#748

  1. What is a graph?
    A graph database is an object oriented Database. Objects like a relational DB are rows and properties of the object rows are considered columns.

  2. What is an edge?
    An edge the relational items between objects, like in a relational db the edge would be considered the foreign key.

  3. What is a vertex?
    A vertex is the points where two or more objects edges meet.

  4. Why would we want to use a graph database instead of a normal SQL database?
    When there are many relationships within the data, complex queries are needed, and data integrity is needed.

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#749

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?

These are used to describe the relationships between the objects contained in the database. Comparable to a foreign key in a relational database.

3. What is a vertex?

Vertices are objects such as people or artifacts (generally have properties).

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

Relationships are fundamental to how objects interact with one another and their environment. Graph databases are the perfect representation for those that contain large amounts of relationships between objects.

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#750

  1. What is a graph?
    A graph is an abstract database that is made up of a bunch of nodes that store pieces of data and are in relation with each other thru edges

  2. What is an edge?
    Edges are the relationships between nodes/vertices.

  3. What is a vertex?
    This is a piece of data with properties within a graph that stores an entity/object.

  4. Why would we want to use a graph database instead of a normal SQL database?
    Because a graph database stores relationships directly and every data object is in this way connected to each other. Thereby it is easier to find connections because if you have 1 connection it leads to many more which are in relation to each other.

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#751
  1. A graph is an abstract data type typically used to model data that contains objects (nodes or vertices) and the relationships between those objects (lines or edges).
  2. An edge is used to describe the relationships between the objects contained in the database; comparable to a foreign key in a relational database.
  3. A vertex or a node contains data and is an entity like a person, place, or object; comparable to a row in a relational database.
  4. A graph database may increase efficiency when performing a search that is more than one level deep.
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#752
  1. A graph is a database but also a structure of relations between data using vertices and edges.
  2. Edges are what glues the vertex’s relationships
  3. Vertex are basically the data itself
  4. To gain more in depth relational data which would be easier to do with graph rather than with SQL which is still possible but would require more computation and time.
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#753
  1. What is a graph?
    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.
  2. What is an edge?
    An edge is the relationship between the 2 nodes it connects. It is like a foreign key in a SQL database.
  3. What is a vertex?
    Vertex is an object, like a person or an entity you want to put it in the db
  4. Why would we want to use a graph database instead of a normal SQL database?
    it has the ability to directly state the relationships between two objects within a graph database provides a strong advantage over relational database systems for certain datasets.
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#754

  1. 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.

  2. What is an edge?
    An edge is a connection between node objects that describes the relationship between objects.

  3. What is a vertex?
    A vertex is another name for a node and is a data object.

  4. Why would we want to use a graph database instead of a normal SQL database?
    When the data and the associated relationships are best represented in graphical format.

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#755

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).

What is an edge?
Edges connect the nodes, they describe relationships between them.

What is a vertex?
A vertex is a node, a graph database that contains information.

Why would we want to use a graph database instead of a normal SQL database?
It is much speedier to search with a graph database for complex searches, in SQL you need several to ask for the answer in several steps.

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#756
  1. What is a graph?
    Is an abstract data type typically used to model data that contains objects (referred to as nodes or vertices.
  2. What is an edge?
    hese 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?
    Vertices are objects such as people or artifacts (generally have properties).
  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 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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#757

Reading Assignment: Graph Databases

  1. What is a Graph?
    A graph is an abstract data type, that is typically used to model data that contains objects and some sort of relationship between those objects.
  2. What is an Edge?
    It is used to describe the relationships between the objects contained in the database.
  3. What is a Vertex?
    The Objects or Nodes in the graph database
  4. Why would we want to use a graph database instead of a Normal SQL database?
    It makes it easier to state the relationship between two objects within a graph database, especially if there is a large amount of relationships within the data.
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#758
  1. It is an abstract data type that is used t model data and the relationship between that data.
  2. An edge is the line between nodes that represents their relationship.
  3. A vertex, or node, is used to represent an object, similar to a row in relational database.
  4. For increased efficiency when it comes to complex relations.
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#759

Graph Databases – Questions


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 one or multiple types of relationships between those objects (represented by lines or edges within a graph’s visual representation).

A graph database uses nodes/vertices in the same way that a SQL database uses records. Graph nodes are connected between each other using lines or edges, which record the relationships between these nodes.

2. What is an edge?

Edges are used to describe the relationships between objects contained in a database (objects being represented by nodes/vertices). They can be likened to the concept of a foreign key as part of a relational database.

3. What is a vertex?

Vertices are objects such as people or artifacts (generally have properties).
A vertex is defined as a node within a graph database to which a set of properties is assigned, just like a record with attributes being labeled to it within an SQL database

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

Graph databases are better at effectively depicting relationships between objects and can more easily link them within that kind of environment. They’re better than SQL/NoSQL DBs at handling data carrying a multitude of relationships within it while making their interpretation easier to understand.

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#760
  1. A graph is an abstract data type typically used to model data that contains objects.
  2. A relationship between objects in the graph.
  3. Vertexes are objects within the graph.
  4. Graph databases are better the more relationships there are within the dataset.
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