Author: Suresh Martha

In this article, I’m going to share my thoughts about data mesh, a concept I came across a few years back. It was first introduced in 2018 at a conference called "Building Scalable and Reliable Data Products" by Zhamak Dehghani. The concept is based on Domain Driven Design from the Book “Domain-Driven Design: Tackling Complexity in the Heart of Software” by Eric Evans. 

Data mesh is a new technology that could provide a framework for managing distributed data ecosystems more effectively by treating data as a product and empowering teams to take ownership of their data while also enabling effective communication to interconnect distributed data residing in different locations. By effective communication, I meant building a solid linkage between the data domains for proper data availability. 

SQL Server is a relational database management system (RDBMS) developed by Microsoft Corporation. It is a powerful platform for creating, managing, and querying large-scale databases. SQL Server is used by companies of all sizes to manage, store, and retrieve data for various applications.

Apart from allowing to store and manipulate data, the SQL server system provides a set of system objects/tables that are used to store metadata and configuration information about the database engine. These are known as system catalog views. These system tables contain information about various objects within the database, such as tables, indexes, stored procedures, views, constraints, etc.

A lot has happened in the last few years since the World Health Organization declared COVID-19 as a global pandemic, forcing every business to change the way they work to survive in this changing world. However, even though the lockdown slowed everything, still a huge amount of data continued to climb with speed, and big data grew and become even bigger. 

As the world was changing and businesses were struggling to find new innovative ways and methods to continue doing business, data, and data analytics have provided a path of light. In this paper, an overview has been provided about Tableau, an extremely powerful tool that can crunch massive amounts of data and can provide hidden insights and trends through visual solutions that can be used by organizations to make quick business decisions. I have used Tableau to generate interactive visualizations to provide a solution for the biotech/pharma/healthcare industries about an improved method of doing peer-to-peer engagements.