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Populating a Network Graph with Named-Entities

 Towards Data Science

I do a lot of natural language processing and usually, the results are pretty boring to the eye. When I learned about network graphs, it got me thinking, why not use keywords as nodes and connect…

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Everything about Graph Data Structure : An Overview

 Javarevisited

Everything about Graph Data Structure : An Overview Photo by Guille Álvarez on Unsplash Below is a Graph Data Structure A graph consists on Vertices (also called as nodes) and Edges. Claps and Follow...

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Data Catalog 3.0: Modern Metadata for the Modern Data Stack

 Towards Data Science

It’s time for a modern metadata solution, one that is just as fast, flexible, and scalable as the rest of the modern data stack.

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Construct a Knowledge Graph on the Neo4j Cloud

 Towards Data Science

How to store your CAZy knowledge in AuraDB Continue reading on Towards Data Science

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Presenting multiple node label support and graph mutability features of the Neo4j Graph Data…

 Towards Data Science

Just recently, the v1.1.0 version of the Neo4j Graph Data Science was released. I decided to take a short break from watching the Joy of Painting by Bob Ross, which I highly recommend, and inspect…

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Data Who?

 Towards Data Science

An oldie but goodie.. What’s the difference between a Data Analyst and a Data Scientist? a BI Analyst and a Business Analyst? a Data Architect and a Data Engineer? Data profession and positions have…

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A new way of using open data. Query the chain

 Analytics Vidhya

Spoiler alert, I’m a blockchain developer, not a data scientist. And this article is about accessing data with TheGraph. But we are in 2019’s fall, still (or starting to) believe that data is the…

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Data Mesh 2.0

 Towards Data Science

A quick article outlining the advantages of data mesh architecture with an example in healthcare and life sciences. Where is this technology headed?

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Networks in Data Science.

 Analytics Vidhya

A network is a collection of different connected objects. These objects present which are called a nodes or vertices. We draw a line to connect different object which are called edges. Different…

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Graphs Data Structure: Depth First Search

 Level Up Coding

In a previous blog post we talked about how to apply the Breadth First Search algorithm to the graph data structure. Today, let’s figure out how Depth First Search (DFS) works. DFS is one of the…

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The Linked List Data Structure

 Level Up Coding

In my previous article, I introduced the topic of data structures in computer science and in particular the Stack Data structure. This time, I will return to the topic of data structures by…

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Worker nodes

 Software Architecture with C plus plus

The nodes that form the control plane and the worker pool are the actual machines the workload will run on. They may be physical servers that you host on-premises, VMs hosted privately, or VMs from yo...

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Taming the Nameless: Using the names() Function in R

 R-bloggers

Introduction Have you ever created a dataset in R and ended up with a bunch of unnamed elements? It can make your code clunky and hard to read. Fear not, fellow R wranglers! The names() function is he...

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Data mesh (not a service mesh)

 Towards Data Science

How to manage the business data right? This is the question all the businesses like insurance, banking, pharma, industrial, construction, have to answer. The effectiveness of data management in the…

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6 Hierarchical Data Visualizations

 Towards Data Science

Create a variety of data visualizations with hierarchal data Individual Images Cited Below Hierarchical data is a type of data structure where data points are linked to each other through parent-chil...

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— The ElementTree XML API

 The Python Standard Library

xml.etree.ElementTree — The ElementTree XML API Source code: Lib/xml/etree/ElementTree.py The xml.etree.ElementTree module implements a simple and efficient API for parsing and creating XML data. Cha...

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All you need to know about Tree Data Structure

 Python in Plain English

Learn about trees, a useful and widely used data structure, using Python Continue reading on Python in Plain English

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Intro to Neo4j: A Graph Database

 Towards Data Science

Learn about the graph database Neo4j and write practice queries Image by Author What is Neo4j? Neo4j is a graph database that stores data in the form of nodes and relationships. This is different fro...

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Linked List for data scientists

 Analytics Vidhya

Data structures are critical for implementing data science pipelines. Many companies ask data structures related questions in interviews to judge the capabilities of a data scientist. These questions…...

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Everything About Linked List Data Structure in Python: Intermediate Guide

 Towards Data Science

In this article we will focus on a complete walk through of a Python linked list data structure. Continue reading on Towards Data Science

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Node customization for stunning networks

 Towards Data Science

As we saw earlier, network visualization in R is a breeze with the visNetwork package. The graphs are gorgeous, interactive, and fun to play with. In this article, we’ll look at how we can customize…

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Linked List Data Structures

 Level Up Coding

If you’re new to data structures I highly recommend you scan through the first part of this article I wrote on stack data structures. It will help you understand what data structures are, which will…

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Expand Your Skills with Open-Source Graph Database NebulaGraph

 Towards AI

Learn widely used Graph Database for your skillset Continue reading on Towards AI

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Getting Started: Graph Database | Neo4j

 Towards Data Science

Image by author: Complex relationship graph visualisation (neo4j Dashboard) Traditionally various SQL-based databases, also known as Relational Databases Management Systems (RDBMS) like MySQL, SQLite,...

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