Series

Full Stack: Remastering Master Data Management into graph like data

In this series, I will try to build basic functionalities and components to convert large scale data to be converted into a Graph form. It is going to cover almost all the technical aspects required.

Articles in this series

1. Introduction and Prerequisites: Need for data-hub or data-lake for MDM

Jun 28, 20204 min read

This is the 1st blog as part of the series Full Stack: Remastering Master Data Management into graph like data. Hope you enjoy the series and find it...

1. Introduction and Prerequisites: Need for data-hub or data-lake for MDM

2. Quarkus: yet another framework like Spring Boot

Jun 28, 20205 min read

This is the 2nd blog as part of the series Full Stack: Remastering Master Data Management into graph like data. Hope you enjoy the series and find it...

2. Quarkus: yet another framework like Spring Boot

3. Reactive Stream messaging in Java using Quarkus

Jun 30, 20205 min read

This is the 3rd blog as part of the series Full Stack: Remastering Master Data Management into graph like data. Hope you enjoy the series and find it...

3. Reactive Stream messaging in Java using Quarkus

4. Spark SQL Structured Streaming with Kafka

Jul 4, 20209 min read

This is the 4th blog as part of the series Full Stack: Remastering Master Data Management into graph like data. Hope you enjoy the series and find it...

4. Spark SQL Structured Streaming with Kafka

5. Graph like data using Neo4j Graph Database

Jul 4, 202014 min read

This is the 5th blog as part of the series Full Stack: Remastering Master Data Management into graph like data. Hope you enjoy the series and find it...

5. Graph like data using Neo4j Graph Database

6. Full-stack GraphQL application using GRAND stack

Jul 5, 20206 min read

This is the 6th blog as part of the series Full Stack: Remastering Master Data Management into graph like data. Hope you enjoy the series and find it...

6. Full-stack GraphQL application using GRAND stack