Business Intelligence

Dinesh Asanka
Dependency network of the Decision tree model.

Microsoft Decision Trees in SQL Server

September 12, 2019 by

Decision trees, one of the very popular data mining algorithm which is the next topic in our Data Mining series. In the previous article Introduction to SQL Server Data Mining, we discussed what data mining is and how to set up the data mining environment in SQL Server. Then in the next article, Microsoft Naïve Bayes algorithm was discussed. In this Article, Microsoft Decision Trees are discussed with examples. The Microsoft Decision Trees algorithm is a classification and regression algorithm that works well for predictive modeling. The algorithm supports the prediction of both discrete and continuous attributes.

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Hadi Fadlallah
This image shows how to add an OLE DB Connection manager from Visual studio

SSIS OLE DB Source: SQL Command vs Table or View

August 22, 2019 by

Introduction

SQL Server Integration Services provides a wide variety of features that helps developers to build a robust Extract, Transform and Load process. After many years contributing to SSIS related tags on Stackoverflow.com, I can say that many developers have some misunderstanding about SSIS features (SSIS OLE DB Source, SSIS Expressions, SQL Server destination …) especially those which are very similar and have some common usability.

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Dinesh Asanka
Selecting the mining struture from the available list

Introduction to SQL Server Data Mining

July 23, 2019 by

Prediction, is it a new thing for you? You won’t believe you are predicting from the bed to the office and to back to the bed. Just imagine, you have a meeting at 9 AM at the office. If you are using public transport, you need to predict at what time you have to leave so that you can reach the office for the meeting on time. Time may vary by considering the time and the day of the week, and the traffic condition etc. Before you leave your home, you might predict whether it will rain today and you might want to take an umbrella or necessary clothes with you. If you are using your vehicle then the prediction time would be different. If so, you don’t need to worry about the rain but you need to consider the fuel level you need to have to reach to the office. By looking at this simple example, you will understand how critical it is to predict and you understand that all these predictions are done with your experience but not by any scientific method.

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Sifiso W. Ndlovu
Data imported using Custom SQL Statement.

Monitor batch statements of the Get Data feature in Power BI using SQL Server extended events

July 1, 2019 by

One shared characteristic among popular data visualization tools such as Power BI is the ease at which data can be extracted from a variety of disparate data sources, usually at a click of a button, as shown in Figure 1. Such convenience, though, tends to come at a cost as you often have little control over how background scripts used to extract data are generated. Yet, this should be of utmost concern for data architects and BI developers alike as rarely do you find auto-generated scripts that are efficient and optimal. In this article, join me as I put on my DBA hat and trace, monitor and review SQL batch statements that are auto-generated by the Get Data feature in Power BI using SQL Server Extended Events.

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Sifiso W. Ndlovu
Successful Execution of SSIS components

Bulk-Model Migration in SQL Server Master Data Services

May 30, 2019 by

Just over a year ago, I published How to migrate SQL Server 2017 Master Data Services Models into another server article, that essentially demonstrated the migration of a SQL Server Master Data Services (MDS) model from one MDS instance to another. Like many of my previously published articles, I have since used the aforementioned article as a technical reference (i.e. syntax lookup for using MDSModelDeploy.exe utility) during the implementation of MDS-related projects for my clients.

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Sifiso W. Ndlovu
Choose the Power BI Dashboard you want to add

Using Power BI Free License to Embed Power BI into Dynamics 365

May 24, 2019 by

Whilst Power BI continues to be the leading data visualisation tool in Gartner’s BI quadrant, Dynamics 365 for Customer Engagement (formerly Dynamics CRM) remains one of popular business platforms for driving sales and facilitating customer communications. Thus, an integration of Power BI into Dynamics 365 for Customer Engagement ensures that you get to explore your Dynamics 365 for Customer Engagement data via a powerful and rich data visualisation tool. However, as indicated in Figure 1, Dynamics 365 for Customer Engagement plans often come with a Power BI free license thereby limiting the type of Power BI features available to you. In this article, we look at how you can get the best out of your Power BI free license for the purposes of embedding Power BI artefacts into Dynamics 365 for Customer Engagement. Going forward, any references to Dynamics 365 for Customer Engagement plan in this article will be shortened to Dynamics 365.

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