Published By - Brian Curtis

5 Best Practices for Cloud Data Integration

Cloud Data Integration Best Practices

Cloud data integration is the process through which the integrated data is used by different systems between cloud servers and on-premise systems. The main goal is to create a database that can be accessed by all the users and the applications they are using.

4 Benefits of Cloud Data Integration

Well, the integration of on-premise systems with the cloud can have a positive impact on an organization’s working. Let us look at such benefits/advantages:

Data Synchronization

It ensures that your systems and applications which are running on the same type of data produce you some real-time updates.

Workflow Automation

Cloud data integration can help an organization in automating their organizational process, which will help them in creating new ways on how the data is fetched or presented while moving from one application to another.

Elimination of Unnecessary Data

Well, this is common for organizations that have a vast database to have unnecessary data present there. Cloud data integration helps an organization in eliminating duplicate and unnecessary data, which helps in reducing the data storage cost.

Scalability and Flexibility

Integrating data systems to the cloud systems provide an “N” number of opportunities to an organization to improve its processes as well as helps the employees in identifying new processes that can help in providing more value to the customers.

4 Challenges to Cloud Data Integration

Transfer of Data

Everyone knows that moving data between cloud storage and on-premise systems can consume a lot of time and is error-prone too. It can also be challenging to transfer your data if the size of the file is very large. Thus, you need to make some strategies to move/transfer your data on time.

Absence of a Standard Approach

To be precise, there is still no standard approach present for integrating data between cloud and on-premise systems.

Every cloud service provider has different data formats. For this, the data connectors are needed to be updated as we keep on modifying the applications which are using our data.

Issues in Cloud Architecture

Most of the cloud systems present in the market are often made to be scalable and good in performance, and not for data integration (different supported formats are present).

Thus, this creates a problem while doing data integration due to the difference in architecture.

Data Security

This is the primary concern for the cloud system users who finds it difficult to integrate data and are concerned for the security of data that is stored in the cloud.

Also ReadCloud Migration Patterns Explained

5 Best Practices for Cloud Data Integration

Security

To start with this, first, your organization needs to tell your customer and users about your organization’s policies of what they can and can’t do with the systems which are integrated into the cloud.

This helps an organization in maintaining the security of your data. Also, in case any flaws are noticed, the users can inform the management.

Training and Development of Employees

For successful cloud data integration, you need to train your employees. You need to tell them about the new systems which are being installed to govern the data stored in the cloud and applications too.

Moreover, your organization should provide training to your employees for the proper functioning of the process.

Expertise in Development

For successful cloud data integration, you need to bring a developer who is an expert in this field. He should help you in application development and its integration with the cloud systems.

In order to optimize your business operations, you need the right development team, which will streamline your process and will help you in data security as well.

Scalability

The integration of your data to the cloud isn’t just migrating your application data to the cloud, but you need to put your on-premise data on the cloud as well.

For this, your developers need to create the right infrastructure for you, which also includes creating a right framework that will eventually help you out in removing bugs.

Moreover, while doing cloud data integration, you need some tools that will help you in improving data quality and data speeds. This can be achieved by appointing the right developer in your organization.

Flexibility

Once your organization has begun a cloud data integration process, the process cannot be revised. Thus, you need to design a new process that suits your needs and solves your cloud data integration problem.

For this, you’ll need a developer who can help you out with tools that are compatible with your cloud applications. This will make your data integration process smooth.

Also, you should keep in mind that your tool should handle data latencies. For this, you need to run latency tests after some period of time.

Conclusion

Cloud integration was created to optimize business processes by breaking data silos and improving connectivity. It has helped many organizations in migrating on-premise data to the cloud so that the data can get more secure and can be accessed from anywhere.

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Cloud Computing with AWS- An Introduction to Amazon Web Services Cloud Computing with AWS- An Introduction to Amazon Web Services

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