
Azure Automation: Azure Logic Apps for face recognition and insert its data into Azure SQL Database
June 15, 2021Today, we will implement an Azure Logic App for face recognition and insert its data into an Azure SQL database.
Today, we will implement an Azure Logic App for face recognition and insert its data into an Azure SQL database.
In this article, we will learn how to integrate Azure Purview and Azure Synapse Analytics capabilities to access data catalog assets hosted in Purview from Azure Synapse.
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.
This article talks about the steps required to add and use the DB Snapshot Creator extension in Azure Data Studio.
In this article, we will learn how to configure Azure Purview to catalog data hosted in AWS S3.
This article uses Azure automation techniques for sending query results as a CSV file attachment in Azure SQL Database by using Azure logic apps.
In this article, we will show how to connect to instances of Azure Database for PostgreSQL servers using the pgAdmin tool installed locally on a user’s workstation.
This article implements Azure Automation logic for automatically publishing a LinkedIn post and Twitter’s Tweet using the simplified Azure Logic App.
In this article, we will look briefly at the Azure Cosmos DB service and how you can query JSON documents to store, retrieve and process data using the SQL Application Programming Interface (API).
This article is all about declarative database development using Azure Data Studio for both beginners and professionals who are new to it.
This article uses Azure Automation techniques to import data into Azure SQL Database from Azure Storage container.
This article will walk you through the process to optimize the cost of Azure Database for PostgreSQL.
This article configures Azure Automation for Analyzing Twitter sentiments using Azure Logic Apps and stores them into Azure SQL Database.
Introduction After starting our discussions into Text Analytics in Azure Machine Learning from the last article, we will be discussing the Named Entity Recognition control in Azure Machine Learning in this article.
This article will get you started with Azure Database for PostgreSQL and understand various options offered by this.
Azure SQL Database supports DTU-based and vCores based purchasing models for deploying your databases in the Azure managed service.
In the Azure Automation article, Azure Automation: Automate data loading from email attachments using Azure Logic Apps, we did the following tasks:
This article will explore Azure automation for automatic data loading into Azure SQL Databases using the Azure Logic App.
This article will show how to use Azure SQL Database to classify and tag data with sensitivity labels to generate reports out of it.
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.
This article is focused on installing and using SQL Server DACPAC Extension in Azure Data Studio.
This article will explore Azure automation for creating a new Azure SQL Database copy.
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.
After discussing a wide range of aspects in Azure Machine Learning, now it is time to move into a new area, Text Analytics and we have dedicated this article to Language Detection in Azure Machine Learning for Text Analytics.
This article will take you through the process to apply Dynamic Data Masking on the dedicated SQL pool of Azure Synapse Analytics.
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