Walker  Orn

Walker Orn

1626543180

Binary Search Tree | Data Structures in JavaScript #3

► Get the full Uber clone course: https://www.haysstanford.com/
★ Star the source code repo: https://github.com/HaysS/javascript-tutorials

■ Follow me on Twitter: http://bit.ly/2S5fdlz

Implement a Binary Search Tree data structure in JavaScript | Data Structures & Algorithms

Learn how the binary search tree works underneath the hood by implementing your own version in JavaScript.

Implement a binary search tree from scratch by following this step-by-step tutorial.


Getting started with React Native?
Watch this video: http://bit.ly/2GR72pl


► Find the Uber Clone here: http://bit.ly/2P0MEB1
► Get the source code: https://github.com/HaysS/javascript-tutorials


► Visit my site: http://bit.ly/2QFjlWb
► Follow my twitter: http://bit.ly/2OLM1PN
► Add me on LinkedIn: http://bit.ly/2CXc29i


►View more, NOW: https://www.haysstanford.com/


►Courses: https://www.haysstanford.com/course/
►Blog: https://www.haysstanford.com/blog/


#JavaScript #NodeJS #DataStructures #Algorithms #ComputerScience #Programming

#javascript #nodejs #datastructures #algorithms #computerscience

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Buddha Community

Binary Search Tree | Data Structures in JavaScript #3
Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Walker  Orn

Walker Orn

1626535920

Binary Search Tree | Data Structures in JavaScript #2

► Get the full Uber clone course: https://www.haysstanford.com/
★ Star the source code repo: https://github.com/HaysS/javascript-tutorials

■ Follow me on Twitter: http://bit.ly/2S5fdlz

Implement a Binary Search Tree data structure in JavaScript | Data Structures & Algorithms

Learn how the binary search tree works underneath the hood by implementing your own version in JavaScript.

Implement a binary search tree from scratch by following this step-by-step tutorial.

PART 3 OF THE BINARY SEARCH TREE SERIES:
https://youtu.be/2EpG0eW1HA8


Getting started with React Native?
Watch this video: http://bit.ly/2GR72pl


► Find the Uber Clone here: http://bit.ly/2P0MEB1
► Get the source code: https://github.com/HaysS/javascript-tutorials


► Visit my site: http://bit.ly/2QFjlWb
► Follow my twitter: http://bit.ly/2OLM1PN
► Add me on LinkedIn: http://bit.ly/2CXc29i


►View more, NOW: https://www.haysstanford.com/


►Courses: https://www.haysstanford.com/course/
►Blog: https://www.haysstanford.com/blog/


#binary search tree #data structures #javascript

Walker  Orn

Walker Orn

1626528660

Binary Search Tree | Data Structures in JavaScript #1

► Get the full Uber clone course: https://www.haysstanford.com/
★ Star the source code repo: https://github.com/HaysS/javascript-tutorials

■ Follow me on Twitter: http://bit.ly/2S5fdlz

Implement a Binary Search Tree data structure in JavaScript | Data Structures & Algorithms

Learn how the binary search tree works underneath the hood by implementing your own version in JavaScript.

Implement a binary search tree from scratch by following this step-by-step tutorial.

PART 2 OF THE BINARY SEARCH TREE SERIES:
https://youtu.be/bMt4jpJ0WcY


Getting started with React Native?
Watch this video: http://bit.ly/2GR72pl


► Find the Uber Clone here: http://bit.ly/2P0MEB1
► Get the source code: https://github.com/HaysS/javascript-tutorials


► Visit my site: http://bit.ly/2QFjlWb
► Follow my twitter: http://bit.ly/2OLM1PN
► Add me on LinkedIn: http://bit.ly/2CXc29i


►View more, NOW: https://www.haysstanford.com/


►Courses: https://www.haysstanford.com/course/
►Blog: https://www.haysstanford.com/blog/


#binary search tree #javascript #data structures

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

Agnes  Sauer

Agnes Sauer

1596818040

My First Data Structure: A very basic guide to Trees

Let me be honest: despite the name of this post, trees were definitely not my first data structure. Nor, should they be yours. However, I’m going to keep the title of my post the same to reassure you that trees are definitely a data structure that beginners like us are capable of understanding and implementing on our own. That all being said, I’d still recommend checking out my post on linked lists before diving into trees.

Now that we’ve gotten that little disclaimer out of the way, let’s jump right in!

Bob Ross painting trees

A (very) basic overview

Trees are a data structure.

What? Too basic?

Ok, let me try again. Trees are a hierarchical data structure that are unilinear and begin with a root and have descending child nodes.

Image for post

Tree diagram

As you can see in the diagram above, the root of the tree is 2 and it’s descending child nodes are 7 and 5 which in turn have their own child nodes which in turn have their own child nodes, and so on.

This probably doesn’t seem too complicated and nor should it. This type of descending structure is something you’re most likely familiar with and probably use everyday. Take for example the files on your computer. You’ll have a folder like “documents” and inside that folder you might have more folders like “coding notes” or “totally rando” and inside each of those folders you might have more folders and so on.

Binary Trees

Now that you hopefully have a basic understanding of the structure of trees, let’s take a look at a very common type of tree: a binary tree.

To make a tree binary, we must follow two specific rules. First, each node can have at most two child nodes. Second, each child have have only one parent.

Take another look at our diagram above. Is it a binary tree?

While the tree in our diagram does follow our second rule (each child node does only have one parent node), it does not follow our first rule. The node with a value of 7 has three children, thus breaking the Binary Tree rule of only allowing two child nodes.

#binary-search-tree #trees #coding #data-structures #programming #data analysis