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- 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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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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Run R codes in Azure ML

  There is a possibility to run R codes and Python in Azure ML.  In this short post, I am going to show you how we can run an R codes to show some charts in Azure ML with ggplot2 package. I have a dataset about the dairy product in the USA. this dataset holds ...

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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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Microsoft SQl Server ML Services: RevoScaleR Package

  RevoScaleR Package RevoScaleR is packages created by Revolution Analytics (own by Microsoft) with the aim of importing, transforming, and analyzing data at scale. There are different categories of functions for the data store, imports and save as, data transformation, draw some charts such as histogram, line and so forth, descriptive analysis, predictive analysis, package ...

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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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Business Understanding for Machine Learning – Predictive and Prescriptive Analysis

  In the last Post, the explanation about machine learning and what is descriptive analysis has been provided. In this post, I am going to provide some overview of the Predictive and Prescriptive analysis Predictive Analysis Another analysis in machine learning in predictive analysis. Predictive analysis is about supervised learning. That means we want to ...

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