In this article, you will look at Power BI Waterfall charts and see how they can be used to plot distributions of numeric data against categorical data. You will also see how you can combine multiple charts in reports view to create Power BI combined visuals.
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This article will help you understand the process to create an Azure Synapse Analytics workspace and some other features related to it.
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In the previous articles of this series, we discussed how to perform different types of activities using Azure Data Factory. These tasks include copying data between different data stores, running SSIS packages and transforming data before writing it to a new data store.
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In this article, I am going to talk about creating a data-tier application using Visual Studio. In my previous article An introduction to Data-Tier applications in SQL Server, I have explained in detail what a data-tier application is all about. I have explained what the different types of data-tier applications are available and how can we create such applications from existing SQL Server databases. In this article, the primary focus would be to create data-tier applications from scratch using Visual Studio. For this article, I am going to use Visual Studio 2019, however, the technique will remain similar for other editions of SQL Server as well.
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In this article, we will explore SQL Server PolyBase external tables with Azure Blob Storage.
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In Azure, the Import/Export operation of the Azure SQL database is a vital part of the database migration methods. It is important to choose the most viable option as per the database migration strategy and business requirements. In addition, the applications that are configured with Azure SQL PaaS databases, the migration specialist could decide and identify several common scenarios where Azure PaaS database are scripted, copied, migrated, moved or backed up.
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In this article, we will see how we can access data from an Azure SQL database from Azure Data Lake Analytics.
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This article shows you how to use Power BI conditional formatting and apply different color schemes to reports in the Reports View of Power BI desktop. The same process can be applied for Power BI conditional formatting in the cloud.
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This article will describe how to get started with Azure Analysis Services and help you understand the configuration and pricing options to create our first Analysis Services instance.
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In this article, I am going to introduce the concept of AWS IAM, also known as Identity and Access Management in AWS. In any cloud service, controlling who has access to the services and how each of the services accesses the other services is an important task. If we do not control the access or restrict then there might be cases of a security breach within the services and we might not be able to track those as well. So as a best practice to restrict or control access within the AWS, there is a special service called IAM that can be used to manage and control almost everything in AWS. It is the permission control system that controls access to the various AWS resources and services.
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In this article, we will be discussing Clustering in Azure Machine Learning which is another machine learning technique such as Regression analysis, Classification analysis. During this article series, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation until today. We will introduce further few techniques that were not discussed before in this article as well. Previously, we have discussed how to perform clustering in SQL Server during the SQL Server Data Mining series.
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Microsoft Power BI is a data analytics and visualization tool that can be used to visualize data in the form of different types of reports, without writing a single line of code.
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In this article, we will show how to use the GIT repository during the pipeline development phase in Azure Data Factory, to save the changes incrementally before publishing it completely to the Data Factory production environment.
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This article will help you process file sets with U-SQL in Azure Data Lake Analytics.
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Amazon Aurora provides a MySQL and PostgreSQL compatible relation database with performance and feature enhancements over the existing databases. In the previous articles, we discussed the following features. You can refer to ToC at the bottom.
In this article, we will cover fast database cloning and its usage for aurora databases.
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In this article, we are going to learn about the stored procedures in MySQL. In this article, I am covering the basics of the stored procedure that includes the following
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In the previous articles of this Azure Data Factory series, we showed different scenarios in which we can take advantage of the Azure Data Factory in copying data from variant data stores and optionally transform the data before loading it to the destination datastore. In all examples that are provided in the previous articles, we created a new pipeline from scratch to achieve the required functionality.
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In this article, I am going to introduce some advanced usages of the SQL Server Agent service in Microsoft SQL Server. In my previous article, Introduction to SQL Server Agent, I have discussed in detail how to use the service and the various components related to the service. To recap briefly, the SQL Server Agent is a job scheduler service within SQL Server and allows us to schedule T-SQL scripts, SSIS jobs, automate database backups and other tasks etc. In the last article, I have shown how to schedule a simple T-SQL script using the SQL Server Agent. This article will focus more on advanced concepts like scheduling a package in SSIS and processing an OLAP cube.
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2020 is finally over – and who’s not thankful for that? We most definitely are. Although 2020 was a total bummer ever since the COVID-19 outbreak, it was a great year for the SQLShack community. We’ve published a ton of great articles written by SQL Server professionals and community members.
We’d like to thank all of the authors for their contribution to spreading the knowledge around the SQL community. We couldn’t have done it without you all!
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In this article, we will explore how the ORDER BY statement affects the query performance and we will also learn some performance tips related to sorting operations in SQL Server.
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In this 4th article for the Amazon Aurora series, we will discuss and implement an Amazon Aurora Serverless cluster.
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After discussing a few algorithms and techniques and comparison of models with Azure Machine Learning, let us discuss a validation technique, which is Cross-Validation in Azure Machine Learning in this article. During this series of articles, we have learned the basic cleaning techniques, feature selection techniques and Principal component analysis etc. After discussing Regression analysis, Classification analysis and comparing models, let us focus now on performing Cross-Validation in Azure Machine Learning in order to evaluate models.
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In the previous articles of this series, we showed how to create Azure Data Factory pipelines that consist of multiple activities to perform different actions, where the activities will be executed sequentially. This means that the next activity will not be executed until the previous activity is executed successfully without any issue.
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This article will help you create database objects in Azure Data Lake Analytics using U-SQL.
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In the previous article, How to schedule Azure Data Factory pipeline executions using Triggers, we discussed the three main types of the Azure Data Factory triggers, how to configure it then use it to schedule a pipeline.
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