This article will help you understand the process of author dashboards using Azure Data Explorer to visualize data hosted in the clusters.
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This article will help you understand the process of author dashboards using Azure Data Explorer to visualize data hosted in the clusters.
Read more »In this article, we will learn how to explore the metadata registered in Azure Purview as well as learn how to analyze the metadata insights using the Purview Studio tool.
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 »In this article, we will be discussing how to use Time Series Anomaly Detection in Azure Machine Learning and this article comes next in the Azure Machine Learning series. During this article series on Azure Machine Learning, we have discussed multiple machine learning techniques such as Regression analysis, Classification Analysis and Clustering. Further, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation and Hyper Tune parameters until today in this article series.
Read more »In this article, we will learn how to catalog metadata using the Azure Purview service.
Read more »This article will get you started with Azure Purview Studio and the different facets associated with this tool.
Read more »In this article, we will look at how we can use the Azure Database Migration Service to migrate to Azure SQL Database.
Read more »In this article, we will be discussing how to Tune Model Hyperparameters to choose the best parameters for Azure Machine Learning models. During this article series on Azure Machine Learning, we have discussed multiple machine learning techniques such as Regression analysis, Classification Analysis and Clustering. Further, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation until today in this article series.
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 »This article will show different features of Azure Purview as well as describe how to get started with this service on Azure.
Read more »This article will help you understand the process to accept an incoming or received data share of Azure SQL Database and integrate it with the desired data repository to start consuming it.
Read more »In this article, we will learn how to deploy SSIS packages which are typically built on developer workstations, to Azure Data Factory using Visual Studio and Data Tools.
Read more »This article will show how to create an Azure SQL database using Azure PowerShell.
Read more »In this article, we will learn how to copy data from an external data source using the COPY command into a dedicated SQL pool of Azure Synapse Analytics.
Read more »This article will walk you through the process of creating Azure Data Shares for an Azure SQL Database.
Read more »This article will walk you through the process of restoring dedicated SQL pools in Azure Synapse Analytics.
Read more »This article will help you understand how to analyze Azure Cosmos DB data using Azure Synapse Analytics.
Read more »This article talks about the two standard ways of building SQL Database Projects in Azure Data Studio along with the simple steps of implementation.
Read more »I have dedicated this article to the topic of Elastic Jobs in Azure SQL Database which is in Public Review. This feature allows you to run scheduled tasks in your Azure SQL Databases. This is similar to SQL Server Agent you have in the On-prem SQL Server versions. However, in Elastic Jobs, you can execute the scheduled tasks in multiple Azure SQL Servers and multiple Databases which is an added advantage when considering the features of SQL Server Agent. Further, this execution performs parallelly.
Read more »In this article, we will explore joining database tables using U-SQL scripts for Azure Data Lake Analytics.
Read more »In this article, we will discuss a number of questions about the Azure Data Factory service that you may be asked when applying to an Azure Data Engineer role.
Read more »In the 2nd article of the series for Azure Data Lake Analytics, we will use Visual Studio for writing U-SQL scripts.
Read more »In this article, we will learn how to analyze data hosted in Azure Cosmos DB using Notebooks.
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