Cloud Data Integration

What is cloud data integration?

Cloud data integration is the process of gathering data from disparate sources (including on-premise or cloud servers, applications, or other sources) and centralizing it in a single location. The goal of data integration is to create easily accessible, unified data stores for employees, customers, or partners to easily and transparently access. This enables people to make faster, more informed decisions that are backed by data.

Multiple tools can be used for data integration in both public or private cloud platforms or providers (e.g., an OpenStack data center or AWS). Depending on the tool used for integration as well as business needs, the integration process will look different. However, most processes involve a form or combination of batch processing, APIs, ELT or ETL pipelines, and real-time event streaming.

The benefits of cloud data integration

It’s estimated that more than 100 zettabytes of data will be stored in the cloud worldwide by 2025. And with 91% of businesses currently using a public cloud for data storage, seamlessly integrating data between environments can yield numerous benefits. As the business market becomes increasingly more competitive, organizations with more effective data analysis will have the insights needed to stand out.

Additional benefits of cloud data integration include:

• Flexibility and scalability
• Data synchronization
• Automating workflows
• Eliminate redundant data
• Removes data silos
• Improves operational efficiency
• Provides better data security
• Increases competitive edge
• Boosts business agility
• Reduces business costs

The right data integration platform coupled with a strong data migration strategy ensures your organization can realize the benefits mentioned above and more. Without a key strategy in place, you may be missing out on all the advantages provided by cloud data integration.

Cloud data integration use cases

Because the approach plays a critical role in creating seamless connectivity between data sources, businesses rely heavily on the technology. Below are just some of the use cases of cloud data integration within businesses.

• Migrating on-premise information to the cloud
• Cloud-to-cloud data integration
• Implementing and/or executing a multi-cloud strategy
• Syncing data across multiple systems
• Facilitating capabilities for machine learning
• Streamlining real-time operations and applications identified with data insights
• Finding and resolving discrepancies
• Predicting business outcomes
• Establish a comprehensive picture of your customer base

The use cases for cloud data integration are nearly limitless. Depending on your specific business needs and goals, you can easily use integration tools to meet them.

How to choose the right cloud data integration platform

To help your organization realize all these benefits, you need to utilize the right tool. With so many tools available, it can be difficult to know which is best for your specific data needs. Keep the following factors in mind when evaluating data integration tools:

Data storage: Regardless of how much data your organization currently has, you’ll want a data integration tool with a large amount of storage. This ensures the solution can scale as you grow and minimizes the chance of disruption.

Cost: You’ll want to find a platform that balances top-tier integration tools with cost. Look for data platforms that provide the capabilities you need without driving up costs. Remember to consider storage costs as well.

Maintenance: Platforms break down and require fixing—it’s unavoidable. However, you want to ensure the solution can be back up and running quickly and doesn’t require exhaustive maintenance. Additionally, ensure the platform doesn’t require extensive technical skills to maintain. Your in-house IT team should be able to resolve problems on their own.

Security: Because the entirety of your business data will be stored on this platform, you’ll want to ensure it can properly defend against cybersecurity threats. Look for platforms that are equipped with security measures such as multi-factor authentication, data encryption capabilities, role-based access control, and real-time security alerts.

Integration capabilities: The sole purpose of a cloud data integration tool is to seamlessly connect to and centralize all your disparate data. The platform you choose should have integration capabilities such as pre-built connectors to accomplish this. If not, make sure it offers the ability to build your own data connectors.

One final consideration: remember your business goals when evaluating platforms. Are you looking to increase data visibility? Improve decision-making? Streamline processes? Create a data-driven culture? Regardless of your goals, ensure the data platform you’re considering can meet them.

Cloud data integration with Domo

Domo’s data integration capabilities enable you to quickly connect all your cloud, on-premise, and proprietary systems with ease. Our platform features over 1,000 pre-built connectors that seamlessly connect to your existing and new data sources. This eliminates the need for time-consuming, manual, and costly engineering projects that delay decisions and slow down operations.

With Domo, you can pull Excel spreadsheets, flat files, files attached to emails, and more into the single, cloud-based platform. Even sensitive or client-focused data can be uploaded into the platform via Domo Workbench, an application that encrypts and protects confidential information.

Once data has been uploaded into Domo, users can create detailed data reports and share them across the industry within minutes. Real-time data alerts keep you aware of any data changes, improving decision making and decreasing the chance of errors. Additionally, real-time KPI dashboards provide users with end-to-end visibility of business metrics via dynamic, easy-to-use data visualizations.

No matter how disparate your data, Domo enables you to connect to it all, any way you like. Discover the hundreds of ways we connect to your data by trying Domo today.

Cloud data integration FAQs

Have additional questions about cloud data integration or how to choose the best cloud data integration platform? We’re here with answers.

What is an example of a cloud data integration?
When organizations are migrating data from an on-premise data center or application to either the cloud or another data center, cloud data integration tools may be used.

What features are included in a cloud data integration platform?
Features will vary depending on the platform. Some of the features included on Domo’s integration platform include:

• Data connectors
• Data visualization tools
• Data federation
• File upload
• Email attachment import
• CSV SFTP connectors
• Magic ETL
• SQL DataFlows
• Dynamic scaling
• Integration Studio

What is the process of cloud integration?
Cloud integration processes will vary depending on the specific platform you’re using. However, most involve connecting to a data source via pre-built or custom-built connectors and migrating or copying data to a new location such as a data lake or data warehouse.