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Nov 7, 2022
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Connecting the Dots of Azure SQL CICD Part 2: Local Development

Brian Spendolini
Brian Spendolini

Join us for part two of our Azure SQL database change management (CICD) series. This post covers local development environments with Visual Studio Code. Prerequisites Check For Database Projects to deploy correctly, we need to have the .NET Core SDK installed. You can get it here with a direct link for windows x64 here. You can also check i...

Azure SQLDevOpsVisual Studio Code
Apr 27, 2022
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Announcing General Availability of Change Data Capture (CDC) on Azure SQL Database

Abhiman Tiwari
Abhiman Tiwari

We are excited to announce the general availability (GA) of change data capture (CDC) in Azure SQL Database. What is Change data capture (CDC)? CDC provides historical change information for a user table by capturing both the fact that Data Manipulation Language (DML) changes (insert / update / delete) were made and the changed data. Changes are ...

Azure SQL
Dec 10, 2020
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Azure SQL can read Azure Data Lake storage files using Synapse SQL external tables

Jovan Popovic
Jovan Popovic

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.

Azure SQLBig Data
Oct 12, 2020
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Optimize storage usage for large volumes of IoT data with Azure SQL

Silvano Coriani
Silvano Coriani

IoT with Azure SQL IoT solutions are generally producing large data volumes, from device to cloud messages in telemetry scenarios to device twins or commands that need to be persisted and retrieved from users and applications. Whether we need to store data in “raw” formats (like JSON messages emitted by different devices), to preserve and process ...

Azure SQLIoT
Oct 12, 2020
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Ingest millions of events per second on Azure SQL leveraging Shock Absorber pattern

Silvano Coriani
Silvano Coriani

IoT with Azure SQL IoT workloads can be characterized by high rates of input data, on both steady and burst streams, to be ingested from devices. A common design pattern for relational database systems involves a “landing zone” (or staging area) which is optimized for “absorbing the shock” of this high and spikey input rate, before data will be fl...

Azure SQLIoT
Oct 12, 2020
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Build your full-PaaS IoT solution with Azure SQL Database

Silvano Coriani
Silvano Coriani

IoT with Azure SQL IoT solutions usually include several components that spans from device communication and management to event processing and data ingestion and analysis. Deploying all these components independently on compute, network and storage based infrastructures can be a complex and time consuming task, but nothing compared to manage, mon...

Azure SQLIoT