| title | description | services | documentationcenter | author | manager | editor | ms.assetid | ms.service | ms.workload | ms.tgt_pltfrm | ms.devlang | ms.topic | ms.date | ms.author |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sample data in Azure blob containers, SQL Server, and Hive tables | Microsoft Docs |
How to explore data stored in various Azure enviromnents. |
machine-learning |
bradsev |
jhubbard |
cgronlun |
80a9dfae-e3a6-4cfb-aecc-5701cfc7e39d |
machine-learning |
data-services |
na |
na |
article |
12/19/2016 |
fashah;garye;bradsev |
This document links to topics that covers how to sample data that is stored in one of three different Azure locations:
- Azure blob container data is sampled by downloading it programmatically and then sampling it with sample Python code.
- SQL Server data is sampled using both SQL and the Python Programming Language.
- Hive table data is sampled using Hive queries.
The following menu links to the topics that describe how to sample data from each of these Azure storage environments.
[!INCLUDE cap-sample-data-selector]
This sampling task is a step in the Team Data Science Process (TDSP).
If the dataset you plan to analyze is large, it's usually a good idea to down-sample the data to reduce it to a smaller but representative and more manageable size. This facilitates data understanding, exploration, and feature engineering. Its role in the Cortana Analytics Process is to enable fast prototyping of the data processing functions and machine learning models.