Ben Richardson

Ben Richardson
Selecting the treemap visualisation to add on to our report.

Power BI Visuals: Working with Treemaps and Tables

August 6, 2020 by

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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Selecting the split column option

Getting started with Query Editor in Power BI Desktop

March 3, 2020 by

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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Example Of Records Using A Clustered Index

Using SQL CREATE INDEX to create clustered and non-clustered indexes

January 10, 2020 by

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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Screenshot of Query Store fully enabled.

Performance Monitoring via SQL Server Query Store

August 19, 2019 by

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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Python in SQL Server: The Basics

February 13, 2019 by

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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Importing and Working with CSV Files in SQL Server

January 28, 2019 by

Introduction

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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Machine Learning Services – Configuring R Services in SQL Server

October 25, 2018 by

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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