Client Background

Client: A leading tech firm in the USA

Industry Type:  Retail

Services: Retail Business

Organization Size: 100+

The Problem

The Client was using NoSql Database which was slow and did not provide real-time response for complex queries. The data had many Connections and it was difficult to represent them in NoSQL or Relational Databases.

Our Solution

Create a Knowledge Graph and Provide Real-time Analytics and Recommendations using Machine Learning.

Solution Architecture

Neo4j was Installed on a Cloud VM based on Linodes.

Deliverables

Knowledge graphs and Data Pipelines are used to Populate the Graph.

API’s to Perform CRUD operations in real-time.

Tools used

  • Neo4j
  • Postman

Language/techniques used

  • Python
  • JSON

Models used

Node-Relationship model

Skills used

  • Programming
  • Data Engineering
  • Data Analytics

Databases used

Neo4j

Web Cloud Servers used

Linode

What are the technical Challenges Faced during Project Execution

Integration of Firestore with Neo4j without any native integration method or driver.

How the Technical Challenges were Solved

The challenge was solved by using api to retrieve data from Firestore.

Project Snapshots 

D:\Blackcoffer_success_stories\Screenshot_20230209_172327.png

Contact Details

Here are my contact details:

Email: ajay@blackcoffer.com

Skype: asbidyarthy

WhatsApp: +91 9717367468

Telegram: @asbidyarthy 

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