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v-albemi committed Jul 23, 2019
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2 changes: 1 addition & 1 deletion articles/data-share/TOC.yml
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href: subscribe-to-data-share.md
- name: Concepts
items:
- name: Azure Data Share Terminology
- name: Azure Data Share terminology
href: terminology.md
- name: Roles and requirements
href: concepts-roles-permissions.md
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2 changes: 1 addition & 1 deletion articles/data-share/data-share-troubleshoot.md
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author: joannapea

ms.service: data-share
ms.topic: overview
ms.topic: troubleshooting
ms.date: 07/10/2019
ms.author: joanpo
---
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8 changes: 5 additions & 3 deletions articles/data-share/overview.md
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Azure Data Share helps enhance insights by making it easy to combine data from third parties to enrich analytics and AI scenarios. Easily use the power ot Azure analytics tools to prepare, process, and analyze data shared using Azure Data Share.

Both the data provider and data consumer must have an Azure subscription to share and receive data. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/).

## Scenarios for Azure Data Share

Azure Data Share can be used in a number of different industries. For example, a retailer may want to share recent point of sales data with their suppliers. Using Azure Data Share, a retailer can set up a data share containing point of sales data for all of their suppliers and share sales on an hourly or daily basis.
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Azure Data Share uses a snapshot-based sharing approach, where data moves from the data provider's Azure subscription and lands in the data consumer's Azure subscription. As a data provider, you provision a data share and invite recipients to the data share. Data consumers receive an invitation to your data share via e-mail. Once a data consumer accepts the invitation, they can trigger a full snapshot of the data shared you shared them. This data is received into the data consumers storage account. Data consumers can receive regular, incremental updates to the data shared with them so that they always have the latest version of the data.

Data Providers can offer their data consumers incremental updates to the data shared with them through a snapshot schedule. Snapshot schedules are offered on an hourly or a daily basis. When a data consumer accepts and configures their data share, they can subscribe to a snapshot schedule. This is beneficial in scenarios where the shared data is updated on a regular basis, and the data consumer needs the most up-to-date data.
Data providers can offer their data consumers incremental updates to the data shared with them through a snapshot schedule. Snapshot schedules are offered on an hourly or a daily basis. When a data consumer accepts and configures their data share, they can subscribe to a snapshot schedule. This is beneficial in scenarios where the shared data is updated on a regular basis, and the data consumer needs the most up-to-date data.

![data share flow](media/data-share-flow.png)

When a data consumer accepts a data share, they are able to receive the data in a storage account of their choosing. For example, if the data provider shares data using Azure Blob Storage, the data consumer can receive this data in Azure Data Lake Store.

## Key capabilities

Azure Data Share enables Data Providers to:
Azure Data Share enables data providers to:

* Share data from Azure Storage and Azure Data Lake Store with customers and partners outside of your organization

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* Allow your customers to pull the latest version of your data as needed, or allow them to automatically receive incremental changes to your data at an interval defined by you

Azure Data Share enables Data Consumers to:
Azure Data Share enables data consumers to:

* View a description of the type of data being shared

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12 changes: 6 additions & 6 deletions articles/data-share/terminology.md
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---
title: Azure Data Share Preview Terminology
description: Azure Data Share Preview Terminology
title: Azure Data Share Preview terminology
description: Azure Data Share Preview terminology
author: joannapea

ms.service: data-share
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Azure Data Share Preview introduces some new terminology related to data sharing. This article explains some frequently used terms that you may see used throughout the service.

## Data Provider
## Data provider

A Data Provider is the organization that is sharing data with their consumers. Typically the data provider can be an owner or a curator of the data. Data providers want to share data of various types. Some examples of data that a data provider may want to share include raw data, such as point of sales or time series data. A data provider may also want to share pre-processed, curated data that already contains analytics and insights.
A Data provider is the organization that is sharing data with their consumers. Typically the data provider can be an owner or a curator of the data. Data providers want to share data of various types. Some examples of data that a data provider may want to share include raw data, such as point of sales or time series data. A data provider may also want to share pre-processed, curated data that already contains analytics and insights.

## Data Consumer
## Data consumer

A Data Consumer is the organization that is receiving data from a data provider. The data consumer may be wanting to join the shared data with their own data to derive insights. In some cases, the data consumer may be receiving data that has already been processed.
A Data consumer is the organization that is receiving data from a data provider. The data consumer may be wanting to join the shared data with their own data to derive insights. In some cases, the data consumer may be receiving data that has already been processed.

## Data Share

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