Showing tag results for azuresql

Whether you’re new or seasoned to cloud, development, and SQL, building and architecting applications in the cloud has become a required skill for many roles. Today, we’re excited to announce a new learning path to help developers of all skill levels learn how to create applications quickly and effectively with Azure.

Over the last few years, we provided guidance on how customers could create their own retry logic or reuse existing libraries aimed to simplify this task for them, We decided to provide a better experience incorporating configurable retry logic capabilities in our client drivers portfolio starting with Microsoft.Data.SqlClient v3.0.0-Preview1.

This article showcases how to take advantage of a highly distributed framework provided by spark engine, to load data into a Clustered Columnstore Index of a relational database like SQL Server or Azure SQL Database, by carefully partitioning the data before insertion.

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!

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.

Serverless Synapse SQL pool in Azure Synapse Analytics is a T-SQL query engine that enables you to read the files placed on Azure storage. You can easily integrate your Azure SQL engine with Synapse SQL to delegate big data analytics and analyze large amounts of data placed on Azure.

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

Executive summary Our testing shows that Azure SQL Database can be used as a highly scalable low latency key-value store. Starting with a cost-efficient 4-core General Purpose database, we see an order of magnitude increase in workload throughput as we increase dataset size by 100x and scale across the spectrum of database SKUs to a Business Criti...

  Thriving on Azure SQL   Many thanks to our colleagues Mahesh Sreenivas, Pranab Mazumdar, Karthick Pakirisamy Krishnamurthy, Mayank Mehta and Shovan Kar from Microsoft Dynamics team for their contribution to this article.   Overview Dynamics 365 is a set of intelligent SaaS business applications that helps companies of a...