Back to Big Data Engineer (Big Data Engineer)

Data Partitioning

Dividing data into smaller parts for parallel processing

Data Partitioning is the process of dividing large datasets into smaller parts or partitions for parallel processing and better performance in distributed computing environments.
5 minutes 5 Questions

Data Partitioning is a fundamental technique in Big Data engineering that involves dividing large datasets into smaller, more manageable segments called partitions. Each partition contains a subset of the data based on specific criteria such as date ranges, geographic regions, categorical values, o…

Test mode:
Start practice test
Big Data Engineer - Data Partitioning Example Questions

Test your knowledge of Data Partitioning

Question 1

What is the main disadvantage of round-robin partitioning?

Correct Answer: Uneven data distribution among partitions.

Round-robin partitioning involves distributing data sequentially across partitions, which can lead to uneven data distribution and skewed data partitions. This can negatively impact query performance and create a bottleneck in the partition with the most data.

Question 2

What is a key-value store?

Correct Answer: A database that stores data as key-value pairs.

A key-value store is a type of database that stores data as key-value pairs. This allows for very fast retrieval of data, making it useful for applications with high read and write loads. Key-value stores are often used for caching, session management, and other caching-intensive applications.

Question 3

What is the difference between vertical and horizontal partitioning in data partitioning?

Correct Answer: Vertical partitioning splits data across columns or attributes, while horizontal partitioning splits data across rows.

Vertical partitioning is performed based on the columns or attributes of the dataset, while horizontal partitioning is performed based on the rows of the dataset. The choice between these techniques depends on the nature of the dataset and the querying requirements.

More Data Partitioning questions
22 questions (total)
Start 22 question test