Azure Data Factory for Enterprises: Key Benefits

Azure Data Factory, a part of Microsoft Azure’s distinctive collection of modern offerings, is a cloud-based data integration and migration service. What it does is store humongous amounts of data, orchestrate it, and then automate the data’s seamless transformation and/or movement in the cloud. Basically Azure Data Factory is a service that can be used to quickly move data between different services. Companies today use this Azure service for various purposes, including collating and connecting data, transforming and enhancing data, to visualize and analyze data, etc.

Now, let us take a close look at some of the many, many benefits of Azure Data Factory:

Cost Optimization

Because Azure Data Factory is a highly automated tool, setting up as well as general operations of this tool necessitates the use of minimal human resources. All you will really need is a solution architect to organize the data collection process and a developer to configure Azure Data Factory in accordance with the above plan. As you can see, companies do not have to hire big teams to set up and operate Azure Data Factory for them, thus reducing both financial and human resources related costs and expenses for the project.

Improved Integration

Another one of Azure Data Factory’s celebrated benefits is that it manages all the drivers needed to ensure integration with MySQL, SQL Server, Oracle, and other such data stores. Wait, there is more: while Data Factory is an Azure offering, it can still be used with other cloud services as well, such as Amazon Web Services or Google Cloud Platform. To cut a long story short, Data Factory can be used with not only almost any cloud platform, but also most databases, various external tools, such as Databricks which is used to process and transform and store huge amounts of data. By the way, Databricks also allows users to analyze unstructured data, including sounds, images, etc. via machine learning models.

Better Accessibility

One of the primary goals of the digital world as well as cloud computing is to deliver increased accessibility. It would, then, kind of defeat the purpose if the tool one is using to move their apps and systems to the cloud impedes that goal, isn’t it? Thankfully, that is not a concern with Azure Data Factory which helps ensure ace data management and control via accessibility. The tool is backed by globally available infrastructure, meaning that the cloud services can be accessed worldwide, including the ability to move data in more than 25 countries. Oh and did we mention that all of this is safeguarded by Azure’s own security infrastructure and provisions?

Enhanced Security

Given the day and age in which we live, it is not surprising to see the demands for the best-possible security. After all, without security of any digital entity, both companies as well as the customers they serve stand to suffer. Now, one would think since Azure Data Factory is a Microsoft offering, top-notch security is a given and they would be absolutely correct. The tool comes equipped with a plethora of in-built provisions to ensure best-possible security, including the ability to create roles, such as admin, contributor, owner, and then assign specific permissions to these roles. Say, for example, you want to ensure that billing information is accessible only by specific users, you can do so by giving the requisite permissions to the authorized users. However, remember that the responsibility of assigning these roles is yours.

Top-Tier Productivity

The key role of Azure Data Factory, an intricate extract transform and load (ETL) process is to move, transform, and control the data. But how does that help with the organization’s productivity? You see Azure Data Factory is a highly automated tool, ensuring the process of data orchestration is executed as efficiently as possible. This, in turn, means setting up the Azure Data Factory tool requires minimal time, leaving the team with ample time to focus and work on gleaning the best possible insights and value out of the tool. Furthermore, Azure also takes care of all the updates, security patches, and management of the tool to keep the downtimes to the minimum possible. This means companies always have access to the latest iteration of the product.

As you can see, ladies and gentlemen, the Azure Data Factory is a handy tool for any organization that may be looking to shift operations to the cloud. Cloud computing has been rendered crucial in today’s digitally-driven world as businesses compete to deliver robust and highly accessible products and services to new-age customers who demand nothing less than absolute convenience to begin with. While the market has plenty of cloud computing services, along with countless tools to enable the transition, the fact remains that Azure Data Factory has been firmly established as the leading name for a reason. The above discussion too demonstrates precisely why the demand for Azure Data Factory has shot through the roof over the past few years. Now, if you too are looking to make use of Azure Analytics and other such Azure Data Factory offerings, we suggest that you start looking for an expert service provider with verified experience in your specific industry. Their expertise will be invaluable in ensuring the success of your project.