Power BI and Azure ML make them work with Power Query

In this blog post, I am going to show how to use the Azure ML web service in Power BI (Power Query). First Step: You need to create a model in Azure ML Studio and create a web service for it. The traditional example in Predict a passenger on Titanic ship is going to survived ...

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Cognitive Services in Power BI

Microsoft Cognitive services are collections of API and services that help developers to create more smart applications and reports.  By using Cognitive services, developers able to add intelligence features such as face recognition, emotion recognition, text analytics and so forth into their applications. Cognitive Services Overview There are different cognitive services available that you can ...

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Live Machine Learning in Azure Stream Analytics-part 1

Azure Stream Analytics is an event-processing engine that allows users to analyze high volumes of data streaming from devices, sensors, and applications. Azure Stream Analytics can be used for Internet of Things (IoT) real-time analytics, remote monitoring and data inventory controls. However, Azure Stream Analytics is another component in Azure, that we were able to ...

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Azure data Bricks – Part2

In the last post, I have explained how to work with Azure Databricks. In this post, I will show: 1- Upload data in Azure data Lake Store 2- get data from Azure Data Lake Store into Azure Data Bricks 3-clean Data with Scala language 4- visualizes with R language 5- Predictive Analysis with R In ...

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Azure data Bricks – Part1

Databricks is an analytics service based on the Apache Spark open source project. Databricks has been used for ingesting a significant amount of data. In February 2018, there is integration between Azure and Databricks. This integration provides data science and data engineer team with a fast, easy and collaborative spark-based platform in Azure [1]. Azure ...

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R In Azure Data Lake- Part1- Sample Data

Azure Data Lake store is one of the components in Microsoft cloud, that helps the developers, data scientists and analyst to store any data size, shape, and speed. Azure Data Lake is optimized for processing large amounts of data; it provides parallel processing with optimum performance. In Azure data lake we can create hierarchy data ...

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Create Custom Visual with R and JSON- Part3

In this post, I am going to show you how we can create most comprehensive Custom visual. In the last two posts published in July 2017 (post1 and Post 2). Some notes before I am going to complete the last two posts. 1- We able to declare some custom input like X, Y, Legen and ...

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R Chart into SSRS (ggplot2 package in SQL Server 2017)-Part 2

“In the last post, you have seen how we can create a chart by importing data from SQL Server 2017. By doing this, we have a reliable code for drawing chart. Now, we sure our codes work fine, we can put the codes in SQL Server 2017. In this post, I am going to show ...

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R Chart into SSRS (get data from SQL and create ggplot chart in R)-Part 1

In this and next post, I am going to show you how to connect to SQL Server to get data from there, then create a table chart using ggplot2 package inside SQL Server 2017 and then show the chart in SSRS. there are multiple steps for that we need to follow Get data and create ...

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Data Wrangling in Power Query

Before machine learning, we need to go through two main processes: Data preparation and Data wrangling. Data preparation is about the collecting data from resources, integrate and load data in one resource, that is so like ETL (extract, transform, and load process) [2]. According to [2], Data wrangling is when we loaded the data and ...

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