In most cases with Big Data projects you have to ingest 6-10x more data than has any immediate value just to start and glean value. This creates a large volume of data with no apparent value, and sometimes it is a long time before there is any value if ever. This creates a large expense and a lot of issues for entry, which has derailed a number of big data projects. So be prepared going in that…
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