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Frequently Asked Questions

What is a binary search tree data structure?

Binary Search Tree is a node-based binary tree data structure which has the following properties: The left subtree of a node contains only nodes with keys lesser than the node’s key. The right subtree of a node contains only nodes with keys greater than the node’s key. The left and right subtree each must also be a binary search tree.

What is a tree in data structure?

Unlike Array and Linked List, which are linear data structures, tree is hierarchical (or non-linear) data structure. One reason to use trees might be because you want to store information that naturally forms a hierarchy. For example, the file system on a computer: Attention reader! Don’t stop learning now.

What are the types of data structures used in data warehouse?

Store hierarchical data, like folder structure, organization structure, XML/HTML data. Binary Search Tree is a tree that allows fast search, insert, delete on a sorted data. It also allows finding closest item Heap is a tree data structure which is implemented using arrays and used to implement priority queues.

What is parent node and child node in tree data structure?

Basic Terminology In Tree Data Structure: Parent Node: The node which is a predecessor of a node is called the parent node of that node. { 2} is the parent node of { 6, 7}. Child Node: The node which is the immediate successor of a node is called the child node of that node. Examples: { 6, 7} are the child nodes of { 2}.

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