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Creating a data extractor is usually simple in the mind of a developer, although in reality it’s usually not so simple. Data extraction as a concept is fairly straightforward: Get the data from A and copy it to destination B. However, as most developers know, the devil is in the detail.
A common misconception about Big Data is that it is a black box: you load data and magically gain insight. This is not the case. As this New York Times article “For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights” describes, loading a big data platform with quality data with enough…
This is the second article in a series. The first article is available here.
How to implement a temporal database
Not every database requires a temporal database implementation, but some do. We can help you get started. As discussed in our previous article, the SQL-2011 standard included clauses for the definition of temporal tables as…Continue