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Azure Data Share: Effortlessly Share Big Data With Other Organizations

Azure Data Share 2

In the contemporary business environment, Data is considered to be the single most important asset to an organization. On the other hand, the size of data being circulated around the world is expected to be consistently amplified. Such a situation will create a need for a reliable source to share the big data. Azure Data Share enables such organizations to securely share their data and create a user-friendly interface. The Azure Data Share pricing policy is designed to help companies availing the benefits of the service without crossing the limitations of the budget.

What is Azure Data Share and it’s uses for organization

Azure Data Share

The term ‘Azure Data Share’ refers to a service offered by Microsoft that enables users to share data securely with third parties. The process of sharing is completed within a few steps. These include the creation of custom data sharing scenarios, categorizing data into various dataset types, and forming an invitation flow.

Thus, the service is primarily designed to help the organizations share invitations relating to joining their data share, among third parties like customers and partners. When the sharing of data is undertaken through ADS, the user has an opportunity of setting up various levels of control in the complete process.

This implies that the access control lies with the user organization. It can itself choose the audience to which the data will be exposed. The row-level security employed within the service helps the host to simplify the coding of security. Moreover, apply restrictions on the access of data. In addition to these features, the Azure Data Share pricing technique provides simple plans. It makes the service increasingly affordable even for smaller organizations.

Pricing structure for Azure Data Share

An elaboration on various plans

The pricing structure is divided into two categories namely, the Dataset snapshots and Snapshot Execution. The price structure is provided in the following manner:-

Source Store and Target Store
Dataset Snapshots$0.05 per dataset-snapshot
Snapshot Execution$0.50 per vCore-hour

A Data Governance perspective

The contemporary data sharing techniques including web APIs are very efficient and functional. But these lack in providing the security that the Azure Data protection feature is quite capable of. The built-in security capabilities of meet the standards of security the data sharing processes of an enterprise require. The service can efficiently share various dataset types formulated by the user organization with the designated third parties, within specified levels of control. Again, the Azure Data Share pricing structure is formulated to accommodate all kinds of organizational workloads. Moreover, the complete process of sharing qualified data along with creating analytical datasets becomes simpler.

In simple words, the user organization shares its qualified data through Azure Data Share like a data provider. After the authentication process is completed, Microsoft provides a new data share to the user company. Among the list of data sources supported are the following included.

Data providers or the user organization can create an invitation flow and share invitations to give a sense of control. Later this user can formulate a “Terms of Use” for the recipients of the data which will include the limitations related to further sharing the data. This is considered as the legal or governance perspective of data whereby the host is capable of controlling the pattern in which the data is to be used.

What are different features in Azure Data Share:

sharing Data In Azure Data Share

The plans provided under the Azure Data Share pricing structure provide certain beneficial features for the user organizations. These consist of the following:-

  • The security capabilities are safe enough to allow only authorized users to access the data after the authentication method is carried out.
  • The user organization can avail the pay as you go structure of payments for utilizing the service. This enables the user to determine share types of the data and subsequently share it with no added costs. There is also no requirement for setting up any infrastructure or any server for these functions.
  • The internal data stored by the host company can be combined with new data from other sources. Azure Data Share enables the user to share or receive any data from various other sources. These include the following-

    i) Azure Synapse Analytics,
    ii) Azure SQL Database,
    iii) Azure Blob Storage,
    iv) Azure Data Lake Storage
    v) Azure Data Explorer.
  • The Azure Active Directory is used to integrate the identities of recipients to manage the process of giving out invitations and subsequent permissions.
  • The clusters of data can be monitored continuously by the user organization through Azure Data Share. At the cluster level, the data from various sources is put in a cluster with datasets that are to be shared. The service also enables efficient monitoring of data sharing relationships through an intuitive, user friendly interface.
  • The user can also utilize the snapshot execution method for copying the data from the data sources. Data can either be shared directly with the recipients or through the process of formulating snapshot schedules.
  • In the synthesis of the dataset- snapshot features the data shared in the form of snapshots can be stored in different datasets.

Explanation on the public preview of ADS:

In July 2019 Microsoft announced that the Azure Data Share would be available to organizations in a preview format. This implies that an organization would be able to utilize the facilities included in the service. Also, perform secure data sharing throughout the company.

The most crucial yet interesting feature of a public preview is that the service is available in the market at no additional cost. Also, the public preview of the service is provided in order to allow organizations across the globe to actually implement and utilize the features within it.

This can help companies scale the limitless opportunities that their internal systems can achieve. Subsequently, the Azure Data Share pricing structure can help the organizations to determine the subscription they want to purchase according to their organizational workload.

What are the limitations of Azure Data Share:

Azure Data Share Analytics

The benefits available to the user organization under the Azure Data Share pricing range are quite popular in the contemporary market. But, like any other product or service, although is equipped with several advantages, there are certain limitations to the service it provides to its customers. These limitations can be enumerated in the following manner:-

  • The Azure Data Share service requires both the service provider and the data recipient to have Azure subscriptions.
  • Both the parties involved in the data sharing process can incur data egress charges.

Azure Consultation: An EPC Group approach

The EPC Group is one of the leading Azure consultants for Azure Data share in terms of helping organizations in transforming their business. Power BI and Azure services are two of the most popular series of products and services offered by Microsoft. In the past couple of years, these services have changed the way in which organizations approach and expand their business. The EPC Group has, for this purpose, designed and formulated training courses on Power BI and Azure for future Power BI developers and Azure professionals.

The team at the EPC Group is dedicated to helping individual customer organizations navigate through the services and create an intuitive user-friendly interface. This consists of the pricing structure of various Azure services including the Azure Data Share pricing. As the EPC Group is gold certified Microsoft Partner consisting of specialists in their team, the organization is competent to help other companies actualize their potential.


The products and services included within the purview of Azure services have the potential of greatly influencing the business pattern of organizations. Moreover, this subsequently can amplify their brand image through the use of deeper insights formed from the data stored. As a large part of business activities consist of the process of sharing data and the subsequent formulation of enhanced insights, the process needs to be highly secure.

Azure Data protection is by far one of the most reliable capabilities of Azure Data Share that helps in sharing confidential data with third-party organizations. With the Azure structure being extremely convenient, user companies can employ the Azure services to their benefit.

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Errin OConnor

Errin OConnor

With over 25 years of experience in Information Technology and Management Consulting, Errin O’Connor has led hundreds of large-scale enterprise implementations from Business Intelligence, Power BI, Office 365, SharePoint, Exchange, IT Security, Azure and Hybrid Cloud efforts for over 165 Fortune 500 companies.

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