Problem – Cloud Computing Adds New Data Silos
With the advent of Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS), cloud computing offers a range of functionality and computing resources at an attractive, pay-as-you-go price.
However, if you’re an enterprise or government agency seeking to leverage these capabilities, you’ve discovered introducing cloud computing increases your data integration complexity. Equal to a new data silo, each new cloud source must be integrated with your existing on-premise information sources. Further, cloud data integration requires new integration methods not typically supported by traditional approaches such as direct database queries and ETL scripts.
For example, when you integrate data from a SaaS provider such as salesforce.com with an internal customer data warehouse, you will need deep knowledge of salesforce’s APIs, the ability to query data through a firewall across the Web, and on-demand, rather than batch mode, operation.
Prepare your data for the cloud
Solution – Composite Data Virtualization Integrates Cloud Data
Composite data virtualization allows enterprises like yours to flexibly integrate on-premise and cloud data as required to meet a range of use cases. Among its key capabilities that are especially well suited to cloud data integration are:
- Composite supports both database developers and Java-centric developers with a relational development environment, Composite Studio, for those who prefer relational modeling-oriented development tools when building federated views and data services, and an Eclipse IDE, Composite Designer, for XML/SOA developers.
- Data integration services authored and run on the Composite Information Server are perfectly suited to operate across the Internet.
- Because Composite data virtualization accesses, federates, abstracts and delivers queried data on demand, no additional cloud-based data storage is needed.
- Further, Composite supports multiple security models to ensure secure access and delivery of appropriate data to authenticated and approved internal and external users.
- With pre-built Composite Application Data Services available for popular SaaS applications such as salesforce.com as well as IaaS cloud-hosted applications such as SAP and Oracle E-Business, Composite simplifies complex data models thereby unlocking data for use in the cloud.
Selected Examples
- Sales Compensation In The Cloud – To reduce operating costs, a global technology manufacturer deployed salesforce.com as its sales force management system. However, calculating sales compensation also required data from on-premise SAP order management and financial systems. The company uses Composite data virtualization to integrate its data from disparate sources into a virtual sales compensation data mart, thereby enabling complete and up-to-the-minute support sales compensation analysis and reporting.
- Building an Internal Data Cloud – To increase data transparency and access for a variety of business analysts and IT teams, a global money center bank built an internal data cloud. Composite data virtualization enables the money center bank to deliver data to multiple consuming solutions—regardless of source location—and thus simplify access and open the door for flexible delivery of new data sources to IaaS resources over time.
