NoSQL Databases and Key/Value Stores Quiz

<p>They use complex queries to access data. (C)</p> Signup and view all the answers

<p>To store customer preferences associated with login IDs. (B)</p> Signup and view all the answers

<p>Avoids the use of joins (B)</p> Signup and view all the answers

<p>Data is stored in key/value pairs (D)</p> Signup and view all the answers

<p>Basically available, Soft state, Eventual consistency (A)</p> Signup and view all the answers

<p>Humongous data storage needs (B)</p> Signup and view all the answers

<p>Uses a flexible schema (B)</p> Signup and view all the answers

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

<p>The main component in JSON or XML data storage (B)</p> Signup and view all the answers

<p>Less flexibility in handling data structures (A)</p> Signup and view all the answers

<p>Content management of web pages (D)</p> Signup and view all the answers

<p>XML or JSON (B)</p> Signup and view all the answers

<p>To serve as a primary index (D)</p> Signup and view all the answers

<p>They support hierarchical data structures. (D)</p> Signup and view all the answers

<p>Query routers (mongos) (C)</p> Signup and view all the answers

<p>Single fields, multiple fields, and arrays (A)</p> Signup and view all the answers

<p>Web analytics of stored log data (A)</p> Signup and view all the answers

<p>Document stores allow for more flexible data structuring and schema evolution. (C)</p> Signup and view all the answers

<p>Consistency is sacrificed, leading to potential data discrepancies. (B)</p> Signup and view all the answers

<p>Availability (B)</p> Signup and view all the answers

<p>Consistency and Availability (B)</p> Signup and view all the answers

<p>The system's continued operation during network failures. (D)</p> Signup and view all the answers

<p>Availability is likely to be compromised. (B)</p> Signup and view all the answers

<p>Sharding (C)</p> Signup and view all the answers

<p>It can handle data in varying formats from row to row. (D)</p> Signup and view all the answers

<p>create 'customer', 'address' (B)</p> Signup and view all the answers

<p>scan 'customer' (D)</p> Signup and view all the answers

<p>The scan command is useful for reading all entries, but targeted queries are preferable for larger tables. (C)</p> Signup and view all the answers

<p>put (B)</p> Signup and view all the answers

<p>It is a document database that is schema-free. (B)</p> Signup and view all the answers

<p>Documents (A)</p> Signup and view all the answers

<p>JavaScript Object Notation (JSON) (D)</p> Signup and view all the answers

<p>Built-in replication (B)</p> Signup and view all the answers

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

Simple NoSQL database where data is stored as key-value pairs. The value is often a blob without defined structure.

The value of a key/value pair is a structured document, like JSON or XML, allowing self-description.

Data is stored in tables with columns of different data types, providing flexibility.

The focus is on representing relationships between entities, using nodes and edges.

A layer that facilitates data access through various interfaces like REST, Thrift, and language-specific APIs.

A non-relational database management system that doesn't need a predefined schema, allowing for flexible data structures. It avoids joins and excels at scaling to handle large datasets, making it suitable for big data and real-time web applications.

A family of databases that are designed to manage extremely large amounts of data, often with unstructured or semi-structured characteristics. They prioritize scalability, availability, and performance over strict relational integrity.

A method of managing data in a relational database where data is divided into smaller, independent units called partitions. This allows for better scalability and performance.

A data structure in NoSQL databases that represents a collection of documents. It provides a flexible way to store data in a hierarchical format similar to JSON or XML.

A characteristic of NoSQL databases that prioritize availability and consistency of data, even if complete accuracy is not always guaranteed. This approach allows for faster operations and greater scalability in scenarios where near-real-time responses are critical.

A process used in traditional relational databases where data is extracted from source systems, transformed into a format suitable for the database, and then loaded into the database. This is often required for data cleansing and normalization.

A data structure that stores data in a hierarchical format using key-value pairs. It is widely used in NoSQL databases for its flexibility and scalability.

A method used in NoSQL databases to efficiently handle massive amounts of data by dividing it into smaller, manageable chunks. It's like distributing a large book onto smaller volumes for easier reading and access.

A NoSQL database model that stores data in columns, offering flexibility in data structures and allowing different data types within the same table, unlike rigid relational models.

A NoSQL database model that stores data in tables with columns organized into groups called families.

A primary command used in the HBase shell to retrieve data from a table, presenting all data in a straightforward manner.

A HBase command that allows targeted data retrieval from a table, limiting the data displayed based on specific criteria.

Document stores are databases that allow you to store data as documents. These documents can be structured using formats like JSON or XML, making them flexible and easy to understand.

Document stores can be used for managing content on websites, like storing web pages, and for analyzing log files to get insights into website usage.

In a document store, each piece of data, like a book or a product, is stored as a single document. This document contains all the relevant information about that item.

Unlike relational databases, where data is spread across multiple tables, document stores store all the information related to a specific item in a single document. This can be helpful for dealing with data that is complex or doesn't fit neatly into a table structure.

A document store often uses a JSON or XML format to store data, making it easy to read and understand. This helps with flexibility and makes it easier to manage the data.

MongoDB is a popular document store that uses a structure called a shard. Shards are like separate containers that hold parts of the data, making the database scalable and able to handle large amounts of data.

In MongoDB, each shard has a special field called '_id', which acts as the primary index for quick data retrieval. Additionally, you can define secondary indexes on other fields for better searching.

Query routers in MongoDB act like traffic controllers. They take requests from applications, figure out which shard has the data, and then send the request to that shard to retrieve the data.

A distributed database system that prioritizes availability and partition tolerance over consistency. It provides a flexible, highly scalable architecture.

A principle that defines tradeoffs between consistency, availability, and partition tolerance in a distributed system. Databases can only excel in two of these aspects simultaneously.

A database that prioritizes consistency over availability. Errors are returned when data can't be confirmed due to network partitioning.

A database that prioritizes consistency over availability. It aims for consistent data, sacrificing availability during network partitions.

A database that prioritizes availability and partition tolerance over consistency. Data is available even if consistency is compromised during network partitions, making it suitable for scenarios where speed is crucial.

The basic command to insert data into CouchDB. It takes several arguments, including the "database", "document ID", "field", and "value".

A document database that interacts with data using RESTful HTTP requests. It allows for schema-free documents, meaning you can store various types of data without rigid structure.

A database system that stores data in individual documents, offering flexibility and scalability, especially for unstructured data. Each document represents a single entity, making it ideal for data with varying structures.

A set of documents within a MongoDB database. It's like a table in a relational database, but more flexible and dynamic.

The process of adding a new document to a MongoDB collection. It involves using the 'insertOne()' function and specifying the document's structure and fields.

MongoDB's function for updating a specific document within a collection. It allows filtering documents using a query and applying changes to selected fields.

An alternative to traditional RDBMS systems. MongoDB offers flexibility and scalability, making it suitable for handling large amounts of unstructured data without requiring a pre-defined table structure.

MongoDB is an open-source database system known for handling large amounts of data and offering scalability. It's ideal for real-time applications requiring rapid data access.