Pieces of information
Picking something up, precisely. Personally I find a fork easier…
Things to consider
We’re assuming that you have already ingested your data.
In order to pick out specific pieces of information, you have to determine what the data is related to.
For example, if you’re looking for an individual’s address, it might start with a search for their name.
It might also be useful to use the word “address” in your search, or search for terms that might be found in letters; for example: “Dear John Smith…”
Do you have a data store where specific kinds of data are kept? That might be a useful way to distinguish target information pieces.
It is possible to upload query files, and to generate these programatically, if you have programming expertise available.
Think about the situation where you’re looking for this data for 1000 people:
national id number
you’re looking for 1000 individuals
you want to find every item that has at least two of the three things in your search; that is:
name and national id number, or
name and email address, or
national id number and email address
It is extremely hard, at present, to perform this task repetitively.
However, you might find it a useful approximation to create many-termed queries on the relevant fields.
Let’s get cooking
For a specific recipe based on this example, try: