Thursday Apr 11, 2013

Tips and Best Practices: Using Data Integration for Cloud

Data Integration Product Marketing Team Blog

In the past week, we discussed these key best practice tips and Oracle’s data integration offering for cloud and a white paper “Demystifying Data Integration for Cloud”. If you haven't watched the screencast, please take a moment now.

As cloud computing adoption rises, data integration for cloud environments has become a popular and important topic of discussion: How do you keep your cloud systems connected with your other enterprise systems? And how do you use data integration and replication solutions to enable successful cloud computing initiatives?  Here are a few best practices and tips to consider:

1)  Enable smooth and non-disruptive consolidation:  System consolidation is a necessary and key step to private cloud architectures.  But, it does not mean your mission-critical systems should experience downtime. You can leverage log-based, real-time data replication to consolidate your databases without database downtime. Bi-directional real-time data replication minimizes the risk with failback option.  You should also consider using a data integration solution with built-in data quality processes so you can ensure that high-quality data is consolidated into the cloud environment. Automation and tools with other use cases should be preferred over manual scripts for fast time to value.

2)  Enable continuous availability for data infrastructure: Whether you are choosing a public cloud vendor, or building your own private cloud environment, availability SLAs will be critical for success of the deployment. In addition to enabling continuous operations during the migration to cloud, you need to choose or build an environment that has minimal unplanned and planned downtime. Using reliable real-time data replication solutions, you can have a highly-available cloud computing infrastructure.

3) Integrate applications at data-layer: In a private cloud environment shared application services is a key requirement to enable agility and best use of resources. The same applies for data access and other key data manipulation requirements such as transformations and data quality. Your data integration solution should support your cloud environment with easy-to-deploy data services.

4) Connect non-cloud systems with private cloud: If you have been building your own private cloud, most likely you will not have all your systems in the cloud environment from day 1. For business operations you will need to share the data in your stand-alone enterprise systems with the new private cloud environment.  Real-time data integration can help enabling data sharing and distribution in a timely manner to support today’s fast-paced business processes and to achieve a complete and up-to-date view of operations.

5) Connect non-cloud systems with public cloud: If you are using, or plan to use, applications on public clouds, you may need to access the application data on public cloud for your business operations. This is critical not only for some of the business processes depending on this data on the cloud, but also have a complete view of your business for better decision making across the board. Using a flexible data integration platform that can also support integration with public cloud system can help you make the most out of your cloud deployment by enabling access to critical data wherever it is needed within the organization.

Oracle offers a complete, integrated, and open data integration platform that supports cloud environments with comprehensive capabilities such as real-time and bulk data movement, transformations, data services, data quality, data replication, and data federation. You can review these new resources to learn how you can build a strong data integration foundation for your cloud environment. Also, be sure to check out all the videos and assets for The New Business Imperative: Social, Mobile, Cloud series by visiting this link.

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