Podcast
Questions and Answers
Which type of database is best suited for handling well-structured data?
Which type of database is best suited for handling well-structured data?
- Document database
- Key-value store
- Relational database (correct)
- NoSQL database
What is one of the major issues relational databases face when managing large quantities of data?
What is one of the major issues relational databases face when managing large quantities of data?
- Data redundancy
- Integration with cloud services
- User accessibility
- Performance and speed (correct)
NoSQL databases are specifically designed to manage which type of data?
NoSQL databases are specifically designed to manage which type of data?
- Compressed data
- Encrypted data
- Structured data
- Unstructured data (correct)
What is a significant characteristic of NoSQL databases compared to relational databases?
What is a significant characteristic of NoSQL databases compared to relational databases?
What has spurred the rise of NoSQL databases in organizations?
What has spurred the rise of NoSQL databases in organizations?
Why might a company need to use a NoSQL database?
Why might a company need to use a NoSQL database?
What is meant by the term 'sharding' in the context of NoSQL databases?
What is meant by the term 'sharding' in the context of NoSQL databases?
What is a key advantage of NoSQL databases over relational databases?
What is a key advantage of NoSQL databases over relational databases?
For which type of organization are relational databases deemed more suitable?
For which type of organization are relational databases deemed more suitable?
Which of the following statements about NoSQL databases is true?
Which of the following statements about NoSQL databases is true?
Flashcards
NoSQL Database
NoSQL Database
A type of database designed to handle huge amounts of unorganized data, often from various sources, without the rigid structure of traditional relational databases.
Big Data
Big Data
The trend of dealing with massive amounts of data, often unstructured, which requires different approaches to storage and analysis.
Relational Databases
Relational Databases
Databases that use a table-based, structured format for storing and managing data, ideal for smaller and well-organized datasets.
Unstructured Data
Unstructured Data
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Business Intelligence (BI)
Business Intelligence (BI)
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Internet of Things (IoT)
Internet of Things (IoT)
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Scalability
Scalability
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Performance
Performance
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Sharding
Sharding
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Speed
Speed
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Cost-efficiency
Cost-efficiency
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Security
Security
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NoSQL Database for Big Data and IoT
NoSQL Database for Big Data and IoT
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Study Notes
Data Storage Solutions
- Global data volume is projected to reach 175 zettabytes by 2025, enough for 43 trillion movies.
- "Big Data" impacts modern organizations significantly, especially regarding database types.
Relational Databases
- Ideal for smaller, structured data like sales transactions, employee/customer data, and inventory.
- Struggles with large, unstructured "Big Data" due to performance, speed, cost, and compatibility issues.
NoSQL Databases
- Designed for large amounts of unstructured data from diverse sources.
- Data not pre-defined or structured into tables/columns/rows.
- Data "added as is" – flexible with various data types (text, integers, audio, images).
- Example: Storing customer information (address, phone, delivery instructions or in-store preferences) can accommodate diverse data formats.
- Data is stored across multiple servers ("sharding"), for enhanced scalability, speed, cost-efficiency and security.
- Data retrieval/storage on sharded servers remains seamless to users.
Choosing the Right Database
- Relational databases are suitable for smaller, structured datasets.
- NoSQL databases are essential for handling the massive, unstructured data of Big Data and IoT projects, which require more scalability, speed, cost efficiency and security.
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Description
Explore the differences and applications of relational and NoSQL databases in this quiz. Understand how they handle structured versus unstructured data, and the impact of big data on organizational data storage. Test your knowledge on data volume projections and database functionalities.
