Analytics in HDInsight

  Azure HDInsight is an open-source analytics and cloud base service. Azure HDInsight is easy, fast, and cost-effective for processing the massive amounts of data. There are many different use case scenarios for HDInsight such as extract, transform, and load (ETL), data warehousing, machine learning, IoT and so forth. The main benefit of using HDInsight ...

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Data Science Virtual Machine

  Data Science Virtual Machine (DSVM) is a virtual machine on the Azure cloud that is customized for doing data science. DSVM has some pre-configured and pre-install tools that help users to build the AI applications. DSVM will assist data science team to access a consistent setup. In this post, a brief introduction to DSVM ...

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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 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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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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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- Part 4

In the last Post, I have explained some parts of creating Custom visual such as how to create an icon, name of visual, and the how-to allocates fields to a custom visual. There are some other settings that need to be set up beforehand as well. the number of data fields you able to pass to ...

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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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