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Solution: Data structure and searching

As of writing of this blog post, Lumeer is still in search for an advice on what he should learn first to be able to solve your particular business case. Tell us, how Lumeer could help you.
Lumeer organizes data into collections. Although the collections are very flexible, you are most likely to keep similar data together in a single basket. There is no new concept in that. Each collection can be assigned a specific colour and icon to help you visually identify the data category. This visual aid will save you some time reading and you will know what type of data you see at the first sight.
In collections, there are individual pieces of data called documents. We borrowed the terminology from NoSQL databases which also serve as backend storage. The documents are very flexible in what information they carry. You can put whatever you want in any document and store it in any collection. However, it is most logical to have documents with similar types of information (i.e. attributes) together in a single collection.
Each document tracks its own change history, so you can see what changes were made to it and by who. You can return the document to any previous state. The document also has individual security controls to specify who can access the document (and thus the data stored in it) and what modifications they can perform.
The document attributes can have a type specified and also some constraints on the data format. Again, nothing surprising. What is different to other systems, is that Lumeer does not force you to set any type. He consumes whatever you enter. Meanwhile, he observes your data closely and suggests you a possible data type and data constraints. Which you can accept or deny.
In traditional information systems, when searching for some document (or data record), you need to be very specific about where and how to look for it. We believe that this is terribly wrong. When you use Google to search for a term you can specify which site to search but I guess you rarely do so. Instead you simply search on the Internet. And this is exactly what Lumeer does. He simply searches in your data. Do you search for John Doe in your suppliers? Simply enter "John Doe" in the search field. Maybe you will see documents with details about your customer named John Doe and your employee named John Doe but you will also see your John Doe customer. One click and you can update John's contact information for example. As in Google search results, you simply do not mind the few irrelevant entries. When your result is not on the first page, you could be more specific in your request.
And you can get as specific as you want. You can search for documents with a given attribute the value of which is larger than X.
The documents can have relations between themselves. As objects in real life do. Each relation can carry arbitrary additional information. Each search query also returns the relevant relations. Isn't that cool?
Do you have any further ideas on what could Lumeer do for you regarding data structure and searching capabilities? Please share your thoughts and make sure Lumeer serves best your needs! Be the first to come with a feature idea and we might name it after you (e.g. Pete's search algorithm).



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