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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This article aims to provide the basics of creating Logistic Regression in Azure ML by designing a simple model step-by-step.
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A graph database is a type of NoSQL database that is based on graph theory. Graph databases are ideal for storing data that has complex many to many relationships. In this article, we will study the very basics of graph databases with the help of a simple example.
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SQL Server CASE statement is equivalent to the IF-THEN statement in Excel.
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Nested Triggers in SQL Server are actions that automatically execute when a certain database operation is performed, for example, INSERT, DROP, UPDATE etc.
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With the introduction of SQL Machine Learning Services, it is now possible to run Python Scripts from any SQL Server client such as SQL Server Management Studio. In addition to directly running the Python Scripts on SQL Server Clients, you can write Python Code on native Python editors and run it remotely on SQL Server using Python clients for SQL Server.
In this article, we will see how to execute some of the basic Python functionalities within SQL Server Management Studio. The article provides an introduction to running basic Python scripts in SQL Server Management Studio.
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CSV (comma separated values) is one of the most popular formats for datasets used in machine learning and data science. MS Excel can be used for basic manipulation of data in CSV format. We often need to execute complex SQL queries on CSV files, which is not possible with MS Excel. See this article for what is possible with Power BI.
However, before we can execute complex SQL queries on CSV files, we need to convert CSV files to data tables.
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The R language is one of the most popular languages for data science, machine learning services and computational statistics. There are several IDEs that allow seamless R development. Owing to the growing popularity of the R language, R services have been included by Microsoft in SQL Server 2016 onwards. In this article, we will briefly review how we can integrate R with SQL Server 2017. We will see the installation process and will also execute the basic R commands in SQL Server 2017.
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