Business Intelligence

Aveek Das
Get Datasets in Workspace

How to access Power BI REST APIs programmatically

May 19, 2020 by

In this article, I am going to explain how to use the Power BI REST API to programmatically access the Power BI Service features. I’ll also discuss the basis of REST API and how to use the APIs using Postman. Using the Power BI REST API, you can programmatically manage the administrative services like getting a list of dashboards and workspaces, refreshing a dataset, copying a dashboard from one workspace to another, and so on.

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Dinesh Asanka

Text Mining in SQL Server

May 18, 2020 by

In this article, we will be discussing how Text Mining can be done in SQL Server. For text mining in SQL Server, we will be using Integration Services (SSIS) and SQL Server Analysis Services (SSAS). This is the last article of the Data Mining series during which we discussed Naïve Bayes, Decision Trees, Time Series, Association Rules, Clustering, Linear Regression, Neural Network, Sequence Clustering. Additionally, we discussed the way to measure the accuracy of the data mining models. In the last article, we discussed how models can be extracted from the Data query.

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Dinesh Asanka
Final SSIS package with Data Mining Query for Data Mining Query in SSIS.

Data Mining Query in SSIS

May 12, 2020 by

In this article, we will be discussing how SQL Server Integration Services (SSIS) can be used to predict data mining models built from SSAS. In this article, we will be looking at the Data Mining Query in SSIS. During the data mining article series, we have discussed all the Data mining techniques that are available in SQL Server. The discussed techniques were Naïve Bayes, Decision Trees, Time Series, Association Rules, Clustering, Linear Regression, Neural Network, Sequence Clustering. Further, we discussed how the accuracy of the data mining models can be verified.

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Dinesh Asanka
Connect to remote MySQL server without using SSL options in connection string

Measuring the Accuracy in Data Mining in SQL Server

April 29, 2020 by

In this article, we will be discussing measuring Accuracy in Data Mining in SQL Server. We have discussed all the Data mining techniques that are available in SQL Server in a series of articles. The discussed techniques were Naïve Bayes, Decision Trees, Time Series, Association Rules, Clustering, Linear Regression, Neural Network, Sequence Clustering. Data mining is a predicting technique using the existing pattern. It is obvious that we won’t be able to predict 100% accurately. However, since we are using data mining outcomes for better business decisions, the result should have better accuracy. If the accuracy is very low, we tend not to use those data mining models. Therefore, it is essential to find out how accurate your data mining models are.

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Aveek Das

An overview of ETL and ELT architecture

April 21, 2020 by

This article explains what the basic features and differences between ETL and ELT are. I’m also going to explain in detail what an ELT pipeline is and a relevant architecture for the same in Azure. So far, we have come a long way dealing with ETL tools which basically are Extract, Transformation and Load technique used in populating a data warehouse. ELT, on the other hand, is another way to load data into a warehouse that implements the process of Extract, Load and Transform.

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Aveek Das
Viewing Data as North America

Introduction to Row-Level Security in Power BI

April 15, 2020 by

Analyzing data with Power BI has always been fascinating to me. With ever-growing data comes more risk, and hence more security is needed. In this article, I am going to introduce what row-level security in Power BI is and how does it work. I’ll also demonstrate in detail how to implement the same in Power BI Desktop. Later, we will also discuss how to implement this row-level security in Power BI service as well. To learn about row-level security in SQL Server, please have a look at my previous article, where I have explained how to implement the same.

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Aveek Das
Map Chart Types in Power BI

An overview of Chart Types in Power BI

April 9, 2020 by

In this article, I am going to give an overview of the most widely used chart types in Power BI. Power BI, as everyone might be aware, is one of the SaaS offerings from Microsoft in the field of BI and Analytics. It provides a very intuitive way for non-technical users to do analyses and create reports on their own without having to rely on a technical team. One of the main purposes of Microsoft behind Power BI is to promote self-service BI and it is one of the BI tools in the market with a comparatively lower learning curve as there are many similarities compared to Microsoft Excel.

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Aveek Das
Database Synchronization Completed

How to deploy SSAS cubes

April 9, 2020 by

In this article, I’m going to discuss the different ways in which we can deploy SSAS cubes. SSAS or SQL Server Analysis Services is an enterprise-grade analytical data engine which helps business to create semantic models that can be used for reporting and making better decisions. The semantic layer created by SSAS can be accessed by client tools like Power BI, or Excel and reports can be prepared from thereon. SSAS comes with a few different versions, which are as follows.

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Aveek Das
Dimension Error Configuration

Warnings in SSAS Cubes

April 3, 2020 by

In this article, I’m going to list out some of the most common warnings we encounter while developing SSAS Cubes and the reason for those warnings. As you are aware, SSAS cubes are developed using the SQL Server Data Tools (SSDT) for Analysis Services (Visual Studio), all the examples will be taken from Visual Studio 2017 only.

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Rajendra Gupta
Title in Power BI Desktop

Scroller visual for Stock price movements in Power BI Desktop

March 31, 2020 by

In the article, Candlestick chart for stock data analysis in Power BI Desktop, we explored Power BI Desktop to analyze stock prices. If you follow the stock market, you might have noticed a ticker (similar to the following image) showcasing stock prices and changes since the last close price. It shows an up and down indicator depending upon the positive or negative change in the stock price.

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