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 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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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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Microsoft Power BI is a data analytics tool available in two flavors: Power BI Desktop and a Power BI Service.
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In this article, you will see how to use the Extract function in Power BI to extract information from columns in a Power BI dataset.
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In this article, you will see how to import data from JSON files and Power BI Rest API into the Power BI environment.
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Power BI is a data analytics tool that can be used to analyze data with the help of Power BI visuals.
Power BI is a Microsoft application and is available as a desktop application as well as a cloud service. It comes with a variety of visual and filtering options that can be used to create Power BI visuals.
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In this article, you will learn how to work with Treemaps and Tables, which are two of the most commonly used Power BI visuals. You will also see how slicers can be used in Power BI to dynamically update the data in Treemaps and Tables. Power BI Visuals are extremely easy to create and don’t require you to write any code.
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The Report View in Power BI can be used to create beautiful visualizations in Power BI.
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Microsoft Power BI supports two different languages, M language and DAX (Data Analysis Expression) that can be used to filter, manage, and visualize data.
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In this article, you will see how to implement a star schema in Power BI. Microsoft Power BI is a business analytics tool used to manipulate and analyze data from a variety of sources.
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In this article, we look at how to create different types of relationships between two or more tables in the Power BI data model.
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Power BI is a data analytics tool developed by Microsoft used to visualize data and find useful insights. In this article, you will see how to work with the Query Editor in Power BI desktop. Power BI comes in various versions, i.e., Power BI Desktop, Power BI Service, Power BI Mobile, and Power BI Developer. Power BI desktop is the free version, and the query editor is available in all three versions.
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The SQL CREATE INDEX statement is used to create clustered as well as non-clustered indexes in SQL Server. An index in a database is very similar to an index in a book. A book index may have a list of topics discussed in a book in alphabetical order. Therefore, if you want to search for any specific topic, you simply go to the index, find the page number of the topic, and go to that specific page number. Database indexes are similar and come handy. Particularly, if you have a huge number of records in your database, indexes can speed up the query execution process. There are two major types of indexes in SQL Server: clustered indexes and non-clustered indexes.
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The rollback SQL statement is used to manually rollback transactions in MS SQL Server.
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A SQL injection attack is one of the most commonly used hacking techniques. It allows hacks to access information from a database that is otherwise not publically accessible.
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The sp_executesql stored procedure is used to execute dynamic SQL queries in SQL Server. A dynamic SQL query is a query in string format. There are several scenarios where you have an SQL query in the form of a string.
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The SQL EXCEPT statement is one of the most commonly used statements to filter records when two SELECT statements are being used to select records.
The SQL EXCEPT statement returns those records from the left SELECT query, that are not present in the results returned by the SELECT query on the right side of the EXCEPT statement.
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This article covers how to connect a Python application to Microsoft SQL Server using a 3rd party Python SQL library. The library that we are going to use is called “pyodbc”, which is freely available. We will use “pyodbc” to perform CRUD (Create Read Update and Delete) operations on a Microsoft SQL Server database.
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This article explains SQL DDL commands in Microsoft SQL Server using a few simple examples.
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The SQL While loop is used to repeatedly execute a certain piece of SQL script.
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In this article, you will see how to use different types of SQL JOIN tables queries to select data from two or more related tables.
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Security has been one of the prime concerns of database developers since the inception of database management systems. Various data protection schemes have been introduced to provide secure access to sensitive data.
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XML (eXtensible Markup Language) is one of the most common formats used to share information between different platforms. Owing to its simplicity and readability, it has become the de-facto standard for data sharing. In addition, XML is easily extendable.
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SQL Server Query Store is a performance monitoring tool that helps us evaluate the performance of a SQL query in terms of several different performance metrics such as CPU and Memory Consumption, execution time and the I/O cycles consumed by the query. Query store is similar to the windows “Task Manager”. A task manager provides information about the CPU, Memory, Network and Disc consumption of a process. Similarly, the Query Store provides insight to similar information.
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