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NoSQL Databases

Non-Relational Databases

Non-Relational databases are used to store and manage unstructured data that does not follow the traditional relational database model and includes NoSQL, HBase, and Casandra databases.

5 minutes 5 Questions

NoSQL databases represent a category of database management systems designed to handle large volumes of unstructured or semi-structured data. Unlike traditional relational databases that use SQL (Structured Query Language) and maintain strict schema definitions, NoSQL databases offer more flexible …

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Big Data Scientist - NoSQL Databases Example Questions

Test your knowledge of NoSQL Databases

Question 1

What is the primary disadvantage of a key-value database?

Key-value databases cannot handle unstructured data. Key-value databases do not support indexing. Key-value databases are slow for read operations. Key-value databases require a lot of memory. It can be difficult to query data that is not directly associated with a specific key. Key-value databases are not scalable.

Correct Answer: It can be difficult to query data that is not directly associated with a specific key.

Key-value databases are designed for fast access to directly associated data, but they can be difficult to query for data that is not directly associated with a specific key. This is because key-value databases typically do not support querying based on the values of multiple keys or on the relationships between keys and values.

Question 2

What is the main advantage of a column-store database over a row-store database?

Query performance is generally superior for analytical queries Column-store databases have better support for ACID transactions Column-store databases have significantly lower hardware requirements Row-store databases are more fault-tolerant and offer better data integrity Column-store databases cannot handle complex SQL queries Data can be more easily updated and modified

Correct Answer: Query performance is generally superior for analytical queries

Column-store databases are designed to optimize analytical queries which tend to focus on aggregating large amounts of data across a small number of columns. By storing data in columns rather than rows, column-store databases are able to achieve superior performance on these types of queries by reducing I/O requirements and minimizing the amount of data that need to be scanned and processed

Question 3

What is the main advantage of using Amazon DynamoDB?

Reliable and consistent performance with strong guarantees around data durability Built-in support for complex queries and ad-hoc data analysis Support for secondary indexes and the ability to perform join operations on data Support for complex data types such as arrays and nested documents High scalability, low latency, and automatic scaling Ability to store large amounts of unstructured data

Correct Answer: High scalability, low latency, and automatic scaling

Amazon DynamoDB is a fully managed NoSQL database service that provides high scalability, low latency, and automatic scaling. It is designed to handle large workloads and provides consistent performance under heavy load.

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