Month: February 2017
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Building a Productive Data Lake: How to keep three systems in sync
Three Systems for save Development When you are building a productive Data Lake it is important to have at least three environments: Development: for development, where “everything” is allowed. Staging: for testing changes in a production like environment. Production: Running your tested and productive data applications With these different environments comes the need to keep…