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Merge pull request #57560 from garyericson/11-08-tdsp-selectors-3
Removing selectors from TDSP articles - 3
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articles/machine-learning/team-data-science-process/explore-data-blob.md

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# Explore data in Azure blob storage with pandas
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This document covers how to explore data that is stored in Azure blob container using [pandas](http://pandas.pydata.org/) Python package.
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The following **menu** links to topics that describe how to use tools to explore data from various storage environments. This task is a step in the [Data Science Process](overview.md).
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This article covers how to explore data that is stored in Azure blob container using [pandas](http://pandas.pydata.org/) Python package.
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[!INCLUDE [cap-explore-data-selector](../../../includes/cap-explore-data-selector.md)]
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This task is a step in the [Team Data Science Process](overview.md).
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## Prerequisites
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This article assumes that you have:

articles/machine-learning/team-data-science-process/explore-data-hive-tables.md

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# Explore data in Hive tables with Hive queries
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This document provides sample Hive scripts that are used to explore data in Hive tables in an HDInsight Hadoop cluster.
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The following **menu** links to topics that describe how to use tools to explore data from various storage environments.
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This article provides sample Hive scripts that are used to explore data in Hive tables in an HDInsight Hadoop cluster.
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[!INCLUDE [cap-explore-data-selector](../../../includes/cap-explore-data-selector.md)]
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This task is a step in the [Team Data Science Process](overview.md).
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## Prerequisites
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This article assumes that you have:

articles/machine-learning/team-data-science-process/explore-data-sql-server.md

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# Explore data in SQL Server Virtual Machine on Azure
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This document covers how to explore data that is stored in a SQL Server VM on Azure. This can be done by data wrangling using SQL or by using a programming language like Python.
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The following **menu** links to topics that describe how to use tools to explore data from various storage environments. This task is a step in the Cortana Analytics Process (CAP).
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This article covers how to explore data that is stored in a SQL Server VM on Azure. This can be done by data wrangling using SQL or by using a programming language like Python.
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[!INCLUDE [cap-explore-data-selector](../../../includes/cap-explore-data-selector.md)]
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This task is a step in the [Team Data Science Process](overview.md).
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> [!NOTE]
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> The sample SQL statements in this document assume that data is in SQL Server. If it isn't, refer to the cloud data science process map to learn how to move your data to SQL Server.

articles/machine-learning/team-data-science-process/explore-data.md

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ms.tgt_pltfrm: na
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ms.devlang: na
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ms.topic: article
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ms.date: 11/09/2017
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ms.date: 11/08/2018
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ms.author: deguhath
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# Explore data in the Team Data Science Process
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This document covers how to explore data in four different storage environments that are typically used in the Data Science Process:
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* **Azure blob container** data is explored using the [Pandas](http://pandas.pydata.org/) Python package.
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* **SQL Server** data is explored by using SQL and by using a programming language like Python.
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* **Hive table** data is explored using Hive queries.
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* **Azure Machine Learning (AML) Studio** data is explored using AML modules.
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Exploring data is a step in the [Team Data Science Process](overview.md).
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The following **menu** links to the topics that describe how to use these tools to explore data from various storage environments.
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The following articles describe how to explore data in three different storage environments that are typically used in the Data Science Process:
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[!INCLUDE [cap-explore-data-selector](../../../includes/cap-explore-data-selector.md)]
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* Explore [Azure blob container](explore-data-blob.md) data using the [Pandas](http://pandas.pydata.org/) Python package.
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* Explore [SQL Server](explore-data-sql-server.md) data by using SQL and by using a programming language like Python.
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* Explore [Hive table](explore-data-hive-tables.md) data using Hive queries.
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In addition, the video, [Preprocessing Data in Azure Machine Learning Studio](https://azure.microsoft.com/documentation/videos/preprocessing-data-in-azure-ml-studio/), describes the commonly used modules for cleaning and transforming data in Azure Machine Learning Studio.

articles/machine-learning/team-data-science-process/toc.yml

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items:
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- name: Overview
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href: explore-data.md
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- name: Use Pandas
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- name: Explore Azure Blob storage
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href: explore-data-blob.md
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- name: Use SQL VM
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- name: Explore SQL on a VM
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href: explore-data-sql-server.md
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- name: Use Hive tables
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- name: Explore Hive tables
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href: explore-data-hive-tables.md
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- name: Sample data
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items:

includes/cap-explore-data-selector.md

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