This article explores the recently announced preview feature of Azure SQL Database – Query Store Hints.
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This article explores the recently announced preview feature of Azure SQL Database – Query Store Hints.
Read more »Today, we will implement an Azure Logic App for face recognition and insert its data into an Azure SQL database.
Read more »Suppose you write a technical blog in the English language for your website. You have good followers in a country where the primary language is not English. You want to translate the document content in their native language for a wider reach.
Read more »This article uses Azure automation techniques for sending query results as a CSV file attachment in Azure SQL Database by using Azure logic apps.
Read more »This article implements Azure Automation logic for automatically publishing a LinkedIn post and Twitter’s Tweet using the simplified Azure Logic App.
Read more »This article uses Azure Automation techniques to import data into Azure SQL Database from Azure Storage container.
Read more »This article configures Azure Automation for Analyzing Twitter sentiments using Azure Logic Apps and stores them into Azure SQL Database.
Read more »Azure SQL Database supports DTU-based and vCores based purchasing models for deploying your databases in the Azure managed service.
Read more »In the Azure Automation article, Azure Automation: Automate data loading from email attachments using Azure Logic Apps, we did the following tasks:
Read more »This article will explore Azure automation for automatic data loading into Azure SQL Databases using the Azure Logic App.
Read more »Azure SQL Database supports exporting schema and data in a compressed format BACPAC. We can store this BACPAC file into an Azure storage account. Later, this BACPAC file can help restore the Azure SQL database, and Azure managed SQL instance or on-premises SQL Server.
Read more »This article will explore Azure automation for creating a new Azure SQL Database copy.
Read more »Azure SQL Database is a PaaS solution for migrating your on-premises databases to the Azure cloud infrastructure. It is a managed service and Azure manages the infrastructure, database availability, backup restore, and compute resources.
Read more »This article will explore the process for Lift and Shift SSIS packages to Azure using Azure Data Factory V2.
Read more »This article explores Azure Automation for the change state of Azure Analysis Services.
Read more »In this article, we will explore Direct Query Mode in Power BI for Azure Analysis Services.
Read more »In this article, we will deploy Azure Analysis Services and create a live connection in the Power BI.
Read more »Power BI is a business analytics solution provided by Microsoft. It helps you to create data visualizations from various data sources. We can import data from these data sources, create a data model, and prepares reports, visuals. These data sources are as below:
Read more »This article will explore the process to capture deadlock XML and deadlock graphs for AWS RDS SQL Server databases.
Read more »Azure SQL Database is an Infrastructure-as-a-Service component for migrating your on-premises SQL Server to cloud infrastructure. We always look for performance, cost, and scaling resources while we plan resources in the cloud. Many times, we do not want our databases running 24*7*365. Suppose you have a development or training database. Your developers work during the daytime on the weekdays. If you deploy an Azure SQL Database, you don’t get an option to stop it. You get charged for it whether you use it actively or not.
Read more »This article will explore the right way of moving integration services (SSIS) catalog SQL Database to a new instance.
Read more »This article configures a long-term backup retention policy for Azure SQL Database.
Read more »In this article, we implement a copy of the Azure SQL database using both Azure Web Portal and Azure CLI.
Read more »This articles gives an overview of the Azure Cloud Shell.
Read more »In this article, we will discuss the Fuzzy joins in the SQL Server Machine Learning using R scripts.
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