Live Machine Learning in Azure Stream Analytics-part 2

In last Post, I have explained the process of creating Event Hub, Stream Analytics, and Azure ML model for the aim of applying machine learning to streamed Data. In this post, I will show how to create a function in Stream Analytics for calling the Azure ML API and finally see the result in the ...

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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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Road Map to use Microsoft ML tools

I normally work with most of the Microsoft tools for the aim of doing machine learning. I came up with a roadmap that shows what option for machine learning we have with Microsoft tools in Data Platform. this roadmap is not completed yet, I need to update it one later with some tools such azure ...

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R Chart into SSRS (Show Chart in SSRS)-Part 3

In the last post, I have shown how you able to install an external package like ggplot2 in ML services and also you see how we can use data in SQL Server to create a chart in R studio. In this post, I am going to show you how to create a chart in SQL ...

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Azure ML Package-Publish a Web service from R-Part2

In the last post, I have explained, how to use AzureML package with the aim of exploration of Azure ML studio experiments and datasets inside R studio environment. moreover how we can use this package to upload a dataset from R studio into Azure ML has been shown. In this post, I am going to ...

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Azure ML Package-Part1

Azure ML Package is another Microsoft related package that allows you to upload and download datasets to and from AzureML, to interrogate experiments, to publish R functions as AzureML web services, and to run R data through existing web services and retrieve the output. Azure ML in R studio The first step- Installation First, you need ...

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Difinity Conference

Posted by on Feb 26, 2018 in Analytics, Azure, Power BI | No Comments

  I normally post about machine learning topics. this post is mainly about the conference that we organized in February 2018. What is Difinity Difinity Name: Data +Infinity Difinity Location: Auckland, New Zealand When normally Happen: February Difinity Conference: Is a Microsoft Data Platform Conference in New Zealand, Auckland that has been held in 2017 ...

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Azure ML workbench-Data Wrangling -Part 3

In the last posts, I have explained how to install Azure ML workbench and how to run a sample and check the accuracy. In this post, I am going to show how to do data wrangling using Azure ML workbench. Just click on the left menu, on the database icon. There are 2 separate groups ...

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New Series of Time Series: Power BI Custom Visual (Part 6)

In the last post, I have explained how to do time series forecast using “Exponential Smoothing” approach in Power BI. I start to explain the main parameters that we need to set up. The main concepts behind of most of these parameters have been explained in previous posts (Post 4, Post 3, Post 2, and ...

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