Graph Databases - Reading Assignment

Blockchain Business Course
#481
  1. A graph is a complex set of relationships that contains nodes representing data points and edges representing relationships between the data.
  2. An edge or a line shows the relationship between nodes/vertices.
  3. A vertex or node is a data point
  4. It is more efficient on data sets that contain complex relational data where retrieval on a multi-layer scale is required.
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#482

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

  2. What is an edge?
    these objects are called edges, and are used to describe the relationships between the objects contained in the database.

  3. What is a vertex?
    Its the same as a a node, and is used to represent an entity object, and comparable to a row in a relational database. Each vertex also contains the properties of that entity.

  4. Why would we want to use a graph database instead of a normal SQL database?
    because the search is way more efficient and therefore faster than an SQL DB

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#483

  1. a graph is a database (similar to, but not the same as relational) that models data that contains objects, and the complex relationship between these objects.

  2. an edge refers to a visualization where a correlation (relationship) is drawn between two objects.

  3. a vertex refers to a object (entity) in the graph database. not to be confused with nodes, which in themselves are the entity with the addition of the underlying data (ie - Ivan = vertices // Ivan’s age, address, phone = node)

  4. a graph database can be very useful when the dev is trying to establish relationships between multiple objects. in a relational database, the dev is more confined to stricter rules that wouldn’t allow for correlations between multiple objects and their relationships.

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#484
  1. What is a graph?
    an abstract data type that is used to model data that contains objects (nodes or vertices) and some relationship between those objects ( lines or edges).
  2. What is an edge?
    the relationship between the nodes/vertices which is similar to the foreign key in a SQL db.
  3. What is a vertex?
    the object with properties similar to a row in the SQL db.
  4. Why would we want to use a graph database instead of a normal SQL database?
    for applications that contain a large number of relationships within the data and between the objects.
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#485
  1. A type of database structure.
  2. A relationship/line between nodes.
  3. A node, i.e. an object with properties that can connect to other nodes through edges.
  4. If the level of depth qua relationships between tables becomes significant.
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#486

Answers

  1. A graph is an abstract data type that contains objects and some relationships between these objects.

  2. An edge is a relationship between two or more objects.

  3. A vertex is an object, a node into the graph structure.

  4. We may use graph DB in order to track large amount of relationship between data. It’s very useful when we need to perform a search that is more than one level deep.

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#487

  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 relationship between objects found in a graph.

  3. What is a vertex?
    An object that contains data in a graph

  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.

#488
  1. What is a graph?

An abstract data type that holds objects and their relationships.

  1. What is an edge?

The relationships between two objects.

  1. What is a vertex?

I assume it’s the same thing as vertice as the writer of the article spells it. In that case a vertex is an object.

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

If your database needs to handle more complex relationships it can be much easier to query information from it.

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#489

  1. An abstract data type that is used to model data that cointains objects and some sort of relationship between those objects.

  2. The relationship between two or more objects

  3. A node into the graph structure

  4. It makes it simpler if we have a large amount of relationships between different objects.

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#490

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.)
Graph databases also contain edges between each node.
These 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.)
A vertex is a node.
Nodes represent entities or instances such as people, businesses, accounts, or any other item to be tracked.
They are roughly the equivalent of a record, relation, or row in a relational database, or a document in a document-store database.

4.)
A graph databases can help simplify the process of modeling data that contains complex many-to-many and hierarchical relationships.

What Are the Common Use Cases of Graph Databases?

  • Fraud detection.
  • Real-time recommendation engines.
  • Master data management (MDM)
  • Network and IT operations.
  • Identity and access management (IAM)
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#491
  1. **What is a graph?
  • a graph stores its data in the nodes and is an abstract data type
  1. **What is an edge?
  • edges are connectors between nodes and their relations
  1. **What is a vertex?
  • data objects/as nodes
  1. **Why would we want to use a graph database instead of a normal SQL database?
  • when the relations are complex
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#492
  1. An abstract data type typically used to model data that contains objects.
  2. They are used to describe the relationship between the objects contained in the database.
  3. Vertex is “artifacts” could be objects like people.
  4. When you have a large amount of data. You can directly state the relationship between two objects, which is an advantages to other database types.
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#493

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 sort of relationship between those objects (lines or edges).
2- An Edge is used to describe the relationships between the objects contained in the database, like the foreign key in a relational database.
3- A Vertex or Node is used to represent an entity object, and is comparable to a row in a relational database.
4- It depends on the data, and how it is being accessed. 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.

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#494
  1. What is a graph?
    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.
  2. What is an edge?
    Edge is 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 a RDBMS
  3. What is a vertex?. Data that contains objects
  4. Why would we want to use a graph database instead of a normal SQL database? Use with large amounts of data and relationships between the data of objects.
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#495

  1. a set of nodes and edges, which are pairs of nodes–the pairs are ordered if and only if the graph is directed

  2. a pair

  3. an element of the graph’s domain

  4. to render the implicit explicit, and for the changes in performance this affords

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#496
  1. A graph is a model for taking abstract data and showing relationships among the elements
  2. An Edge is the aspect of the chart that shows the relationship between each node.
  3. A vertex is the node, the object or the data point.
  4. Graph databases are useful for showing relationships and giving a visual overview.
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#497
  1. an abstract set of data used to represent a model
  2. An edge is a relationship port between two data objects.
  3. A data type in a graph
  4. It can allow the direct relationship between two sets of data, SQL is more structured.
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#498

  1. What is a graph?
    It is basically a model of complex objects and relations.

  2. What is an edge?
    It is a relation between two nodes (objects).

  3. What is a vertex?
    A verticle is an object, an entity from which relations are made.

  4. Why would we want to use a graph database instead of a normal SQL database?
    When our data is made of complex and changing relationships and objects.

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#499
  • 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?
    These 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.
  • What is a vertex?
    Vertices are objects with defined properites
  • Why would we want to use a graph database instead of a normal SQL database?
    Graph databases work well with large amounts of relationships in database
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#500
  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?
    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?
    data object(s) like a node, data point
  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
  • Graph databases may also offer increased efficiency for searches in some cases
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