In this article, we are going to discuss AutoML in Azure Machine Learning Service. During our previous discussions, we had discussed features of Azure Machine Learning (Classic) and in this article, we are moving our discussion to Azure Machine Learning service.
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This article will mention some of the most popular free SQL online compilers that help developers debug and test their SQL code without installing an SQL instance locally or buying one on the cloud.
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In this article, we will learn how to invoke an API and process the data returned by the API using Azure Data Factory.
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In this article, we will learn how we can use a Stored Procedure with return values with all details.
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This article explores OPENROWSET, OPENDATASOURCE and Linked Server to connect Azure SQL Database from on-premises SQL Server.
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This article briefly explains how to write a subquery in SQL by providing examples.
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This article will show you how to web scrape data using Azure Data Factory and store the data on one of the Azure data repositories.
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In this article, I am going to explain the DBCC DBREINDEX statement, its syntax, and its usage. Additionally, I am also going to cover the differences between the DBCC REINDEX and ALTER INDEX statements.
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In this article, we are going to talk about the various analytic functions that are supported by the SQL Server Database Engine. As it goes by the name, these are some special functions using which we can execute analytic queries on the dataset and obtain useful results. In comparison to standard SQL queries, sometimes it becomes necessary for the Data Analysts to deep dive into the data more and obtain insights from analytic perspectives. This article will discuss all the analytic functions supported by SQL Server with some details.
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This article explores locks to prevent unexpected changes in Azure SQL Database resources.
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In this article, we will learn how to calculate and add a subtotal in SQL queries.
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This article will show how to deploy the Hyperscale (Citus) server group of Azure Database for PostgreSQL and explore its configuration options.
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Until now, we have discussed several topics in Text Analytics in Azure Machine Learning in many aspects from the last couple of articles and in this article, we will be discussing the Recommender Systems for Customer Reviews.
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This article explores database DDL triggers for auditing Data Definition Language (DDL) on Azure SQL Database.
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This article will explain how to use the SSIS lookup transformation and how it differs from the fuzzy lookup. This is a continuation of the SSIS features face-to-face series that we published previously on this website.
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In this article, we will explore some secrets about SQL Table Variables.
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Microsoft Azure has been a leading cloud service provider over the past few years. In this article, we are going to look into an overview of various cognitive services offered by Azure. In simple English, the word ‘Cognitive’ means to involve in intellectual activities, such as thinking or reasoning. Similarly, Azure Cognitive Services are also related to intelligence related to the computer and the way humans behave with these computers. For example, these services allow humans to interact with the machines as if they have the intellectual ability to talk, think and respond to events accordingly.
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This article will walk you through the process to create a Flexible server model of Azure Database for PostgreSQL and learn the unique features offered by it.
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In this article, we are going to learn about xp_fileexist, its usage, and alternatives. To access the file system using SQL Server queries, we can use the following extended stored procedures.
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Until now, we have discussed a few topics in Analytics in Azure Machine Learning many aspects in the last couple of articles, we will be discussing the Latent Dirichlet Allocation in Text Analytics in this article.
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Azure SQL Database and SQL Managed instance are Microsoft offerings for PaaS SQL Server in cloud infrastructure. In the case of a traditional on-premises SQL Server, at certain times, we require database system downtime to perform specific operations such as hardware upgrades, OS and SQL Server patching. In a critical production database system, it is challenging to get downtime and schedule these activities.
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This article is a part of the series Learn NoSQL in Azure where we will learn about the DocumentDB SQL API in detail. Azure Cosmos DB is a serverless NoSQL database service provided by Azure that is highly available, globally distributed, and responds within the minimum latency. Due to these features, it is a perfect fit for building modern-day applications using the DocumentDB or SQL API of Azure Cosmos DB.
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In this article, we will explore the xp_fileexist extended stored procedure usage and other details. At the same time, we will take a look at alternative methods to this procedure.
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This article will help you get started with Power Query in Azure Data Factory to perform Data Wrangling.
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In the previous article Azure Data Explorer and the Kusto Query Language, we saw how the Microsoft Azure Data Explorer works, and we learned about the Kusto query language (KQL). We’ll build on this here in part two, we’ll learn more about KQL, and we’ll use KQL to solve a real-world data problem.
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