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A Friendly Reminder that Sometimes There are Storms in the Cloud

Cloud Data Integration Best Practices

Cloud Data Integration Best PracticesApril Reeve knows a thing or two about data – hence the Twitter moniker @Datagrrl. With over 25 years of enterpise data experience, she is very good at helping large companies organize their data and capture value from it. April currently works for EMC Consulting as a Business Consultant in the Enterprise Information Management practice. And she has recently written a book that focuses on data integration called: Managing Data in Motion, Data Integration Best Practice Techniques and Technologies

As luck would have it, the website DataInformed has published an excerpt that can be found here. In it April Reeve focuses on three key considerations when dealing with cloud data solutions:

Cloud Security: “What many chief security officers are discovering, to their horror, is that cloud services are so easy and inexpensive to acquire that parts of their organizations may already have data out in public cloud environments without having been concerned with the issues of adequate security.”

Cloud Latency: “If very low latency is a requirement, it may be necessary to architect a data integration solution similar to the integration of geographically separated hubs of data located on different continents.”

Cloud Redundancy: “More than with data kept internally, data kept in the cloud should include an inventory and auditing that no data has been lost or misplaced. With thousands and millions of commodity servers being constantly provisioned and deactivated, cloud services users should ensure that they have access to and are processing all the data they think they are.”

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