Always a fierce competitor when the stakes are at their highest, Anthony Edwards was asked back at the start of training camp how he’d keep himself motivated against the league’s cellar dwellers. The ...

The Table API enables a programmatic way of developing, testing, and submitting Flink pipelines for processing data streams. Streams can be finite or infinite, with insert-only or changelog data. The ...

Abstract: Hash Tables are important data structures for a wide range of data intensive applications in various domains. They offer compact storage for sparse data, but their performance has ...

Understand and get familiar with the hash table data structure, along with its application in managing user accounts. For problems marked as (code), write a Java program that will be run by the ...

Abstract: Chord DHT (Distributed Hash Table) is a robust solution to a basic problem encountered in peer-to-peer (P2P) applications: efficiently locating the node that stores specific data items. In ...

ABSTRACT: Microservices have revolutionized traditional software architecture. While monolithic designs continue to be common, particularly in legacy applications, there is a growing trend towards the ...

After looking at the recent GoLang update for curiosity, I noticed one standout item. GoLang now uses Swiss Tables for mapping. I'd not heard of this algorithm, so it took a bit of searching to come ...

Linear probing is a collision resolution strategy. When a collision occurs on insert, we probe the hash table, in a linear, stepwise fashion, to find the next available space in which to store our new ...

Kotlin was designed to bring more flexibility and flow to programming in the JVM. Here's an in-depth look at how Kotlin makes working with classes and objects easier and introduces coroutines to ...