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!
Throughout the next seven weeks we'll be sharing a solution to the week's Seasons of Serverless challenge that integrates Azure SQL Database serverless with Azure serverless compute. Learn how to develop an Azure Function that leverages Azure SQL database serverless and TypeScript with Challenge 3 of the Seasons of Serverless challenge.
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.
Jovan Popovic
December 10, 2020
Dec 10, 2020
12/10/20
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 amount of data placed on Azure.