Tag: Plain English

Hadoop and Spark are two popular frameworks used in big data processing, but they differ in several key aspects. Hadoop, known for its distributed file system (HDFS), is designed to handle massive amounts of data in a batch-processing manner. On the other hand, Spark excels in fast and iterative processing, leveraging in-memory computing to achieve […]

Queues and stacks are fundamental data structures used in computer science and programming. While both serve as containers for storing and accessing elements, their underlying principles and behaviors differ. A queue operates on the principle of “first in, first out” (FIFO), where the first added element is the first to be removed. On the other […]

Queues are a crucial data structure in the field of programming and computer science to comprehend and be aware of. Queues are a relatively simple structure with a wide range of uses, from technological to more practical. At first, queues may seem entirely speculative. However, there are multiple instances in real life where we can […]

When we’re working with data, we often need to store and retrieve certain values. This can become problematic, especially when the dataset is substantial. Traditionally, arrays are used to index data, but these can take undesirable lengths of time to compute. Hashing is an approach to solve this issue and is often used with data […]