Arvind Shyamsundar

Principal Program Manager, Azure SQL

Principal Program Manager @ MSFT Database Platform #AzureSQL. Data geek. SQL MCM.

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Model your Supply Chain in a Graph Database | Part 1

In this article, we'll explore the fascinating intersection of supply chains and graph databases. We'll explore the intricacies of supply chains, understand their complexities, and explore the practical benefits of utilizing graph databases for modeling and optimizing these networks.

Model your Supply Chain in a Graph Database | Part 2

In Part 2 of our series, we explore the practical aspects of enabling SQL Graph for modeling supply chains, including creating tables for nodes and edges and inserting data into them. We also introduce the MATCH keyword for querying graph data, simplifying the retrieval of information based on relationships between entities.

Model your Supply Chain in a Graph Database | Part 3

In Part 3 of our series, we delve into the rewards that graph databases bring to supply chain modeling. We explore the clarity achieved through the MATCH keyword, enabling precise communication between technical and business teams. Validation becomes seamless as stakeholders intuitively analyze the graph, uncovering missing relationships and enriching data.

Model your Supply Chain in a Graph Database | Part 4

In Part 4 of our series, we explore the power of graph visualization in understanding and analyzing supply chain data. Using tools like PowerBI and the force-directed graph visual, we transform our SQL Graph data into an interactive and shareable format. The visualization allows us to easily comprehend the relationships within the supply chain, make discoveries, and make informed decisions. With SQL Graph, we combine the familiarity of Azure SQL with the advantages of graph modeling, providing clarity and precision when communicating with stakeholders.

Solving the River Crossing problem with SQL Graph

Graph theory and associated techniques are extremely powerful. Azure SQL allows native representation of graphs as node and edge tables, and provides breadth-first-search traversal for native path finding. This blog post demonstrates the ease of use, and great power of, these features by using them to solve the classic river crossing riddle!

Programmatically parsing Transact SQL (T-SQL) with the ScriptDom parser

Azure SQL developers have access to a full-fidelity, highly accurate, and easy-to-use client-side parser for T-SQL statements: the TransactSql.ScriptDom parser. This blog post walks through basic usage, and links to a number of resources for digging deeper.

Continuous Delivery for Azure SQL DB using Azure DevOps Multi-stage Pipelines

Multi-stage pipelines in Azure DevOps offer a rich, declarative, YAML-based mechanism to implement and customize Continuous Delivery for Azure SQL.

DevOps for Azure SQL

DevOps is a broad term with multiple technology and process options at hand. Read this post for an overview of what DevOps for Azure SQL means, and review some options for tools and processes to use.