Podcast
Questions and Answers
When is data storage required during the data wrangling process?
When is data storage required during the data wrangling process?
- Only during the ETL process.
- Only when external datasets are acquired.
- When all data has been successfully cleaned.
- When data is manipulated for analysis. (correct)
Which of the following are considered big data storage technologies?
Which of the following are considered big data storage technologies?
- Sharding and Distributed File Systems. (correct)
- File Systems and CAP Theorem.
- Replication and BASE. (correct)
- Clusters and ACID.
What best describes a cluster in computing?
What best describes a cluster in computing?
- An array of devices that cannot work together.
- A collection of servers working together as a unit. (correct)
- A single powerful server with enhanced capabilities.
- A standalone computer with a unique operating system.
Which statement is true regarding file systems?
Which statement is true regarding file systems?
What is the role of the ETL process in data storage?
What is the role of the ETL process in data storage?
Flashcards
Cluster
Cluster
A group of interconnected servers working as a single unit usually with similar hardware specifications.
File System
File System
The way data is organized and stored on a storage device.
Distributed File System
Distributed File System
A file system that distributes data across multiple servers for greater storage capacity and performance.
Big Data Storage Technologies
Big Data Storage Technologies
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Sharding
Sharding
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Study Notes
When is data storage typically required in data wrangling?
- When external datasets are acquired
- When data is manipulated to be suitable for analysis
- When data is processed via ETL (Extract, Transform, Load) activity
Big data storage technologies
- Clusters: A collection of servers, usually with identical hardware, connected via a network to function as a single unit.
- File Systems and Distributed File Systems: Methods for storing and organizing data on storage devices like flash drives, DVDs, and hard drives.
- A file is the smallest unit of storage within a file system.
- NoSQL: A non-relational database management system.
- Sharding: A database technique to distribute data across multiple servers.
- Replication: Duplicating data across multiple servers for redundancy and availability.
- Sharding and Replication: Combining sharding and replication for improved performance and fault tolerance.
- CAP Theorem: A theoretical framework describing the trade-offs in distributed systems between Consistency, Availability, and Partition tolerance.
- ACID (Atomicity, Consistency, Isolation, Durability): Properties of database transactions ensuring reliability in traditional relational databases.
- BASE (Basic Availability, Soft State, Eventually Consistent): Properties of database transactions suitable for less demanding applications when consistency is not a stringent requirement.
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Description
Explore the critical concepts of data storage in data wrangling, including when it's typically needed and the various big data storage technologies available. This quiz will cover clusters, NoSQL databases, sharding, and the CAP theorem, providing a comprehensive understanding of data management strategies.
