Bridging the Gap in Cloud, Big Data, and Real-time
- by Dain C. Hansen
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With
all the buzz of around big data and cloud computing, it is easy to overlook one
of your most precious commodities—your data. Today’s businesses cannot stand
still when it comes to data. Market success now depends on speed, volume,
complexity, and keeping pace with the latest data integration breakthroughs.
Are you up to speed with big data, cloud integration, real-time analytics? Join
us in this three part blog series where we’ll look at each component in more detail.
Meet us online
on October 24th where we’ll take your questions about what
issues you are facing in this brave new world of integration.
Let’s
start first with Cloud.
What
happens with your data when you decide to implement a private cloud
architecture? Or public cloud? Data
integration solutions play a vital role migrating data simply, efficiently, and
reliably to the cloud; they are a necessary ingredient of any platform as a service
strategy because they support cloud deployments with data-layer application
integration between on-premise and cloud environments of all kinds. For private
cloud architectures, consolidation of your databases and data stores is an
important step to take to be able to receive the full benefits of cloud
computing. Private cloud integration requires bidirectional replication between heterogeneous systems to allow you to perform
data consolidation without interrupting your business operations. In addition, integrating
data requires bulk load and transformation into and out of your private cloud
is a crucial step for those companies moving to private cloud. In addition, the
need for managing data services as part of SOA/BPM solutions that enable agile
application delivery and help build shared data services for organizations.
But what about public Cloud? If you have moved your
data to a public cloud application, you may also need to connect your
on-premise enterprise systems and the cloud environment by moving data in bulk
or as real-time transactions across geographies.
For
public and private cloud architectures both, Oracle offers a complete and
extensible set of integration options that span not only data integration but
also service and process integration, security, and management. For those
companies investing in Oracle Cloud, you can move your data through Oracle SOA
Suite using REST APIs to Oracle Messaging Cloud Service —a new service that lets
applications deployed in Oracle Cloud securely and reliably communicate over Java Messaging
Service . As an example of loading
and transforming data into other public clouds, Oracle Data Integrator supports
a knowledge module for Salesforce.com—now available on AppExchange. Other third-party
knowledge modules are being developed by customers and partners every day.
To
learn more about how to leverage Oracle’s Data Integration products for Cloud, join us live: Data
Integration Breakthroughs Webcast on October 24th 10 AM PST.
