Introduction to NoSQL Databases

<p>A system managing a user’s shopping cart and authentication tokens during high traffic. (B)</p> Signup and view all the answers

<p>ACID compliance may not be guaranteed. (C)</p> Signup and view all the answers

<p>It effectively manages and queries highly interconnected data. (A)</p> Signup and view all the answers

<p>It allows the system to efficiently handle increased data volume by adding nodes. (D)</p> Signup and view all the answers

<p>New fields can be easily added to documents without modifying existing structures. (C)</p> Signup and view all the answers

<p>It efficiently represents complex relationships. (C)</p> Signup and view all the answers

<p>Complex relationship analysis among data points. (D)</p> Signup and view all the answers

<p>Neo4j Desktop (D)</p> Signup and view all the answers

<p>It offers fully managed cloud services for Neo4j databases. (D)</p> Signup and view all the answers

<p>Algorithms for analyzing and extracting insights from graph data. (D)</p> Signup and view all the answers

<p>A graph visualization and exploration tool. (D)</p> Signup and view all the answers

<p>Through the analysis of unusual patterns in connections. (A)</p> Signup and view all the answers

<p>It offers advanced features with support for large-scale applications. (C)</p> Signup and view all the answers

Databases designed to store, retrieve, and manage data that does not conform to a traditional table-based structure. They offer flexible schema, horizontal scalability and handle different data types.

Databases that store data as documents, which can have different fields or structures. They allow flexible schema and are ideal for content management.

Databases that store data as key-value pairs. They offer fast read and write operations, making them suitable for caching, session management, and real-time applications.

Databases that store data as nodes and relationships between those nodes, representing interconnected data. They are effective for analyzing complex relationships and graph-like structures.

The ability of a database to expand its capacity by adding more servers to distribute the workload and handle larger datasets.

The capability of a database to accommodate different data formats within a single collection without strictly enforced structures.

Data that is structured in a way that is readily understood by computers, typically with defined fields and types.

Data that does not conform to a fixed structure or schema. It often involves data with variable fields and formats.

A data model that represents data as nodes (entities) connected by relationships (edges). This is particularly suitable for scenarios where relationships between data points are important.

A database management system specifically designed for storing and querying data modelled as a graph.

A fully managed cloud service for deploying and running Neo4j databases, offering scalability, security and reliability in the cloud.

A desktop application providing a development environment for Neo4j, allowing users to create and manage local Neo4j databases.

A graph visualization and exploration tool designed to help users uncover insights from their graph data using intuitive interface, natural language search, and interactive visualizations.

A collection of algorithms and tools specifically designed for analyzing and extracting insights from graph data. It includes algorithms for centrality analysis, community detection and similarity analysis.

A fully managed graph database service hosted on Google Cloud Platform (GCP) for deploying and managing Neo4j databases.

A social media platform utilizes Neo4j database to analyze and manage connections between users. The connection types include friendships, messages, and likes, allowing the platform to recommend new friends, detect communities, identify influencers, and analyze unusual activity in connections and interactions.