A database model is a type of data model that determines the logical structure of a database and fundamentally determines in which manner data can be stored, organized and manipulated. The most popular example of a database model is the relational model, which uses a table-based format.
In this article I'd like to share with you a phenomena that is best you avoid - something you should be aware of when designing your data model (or building your Business Processes) in Caché or in Ensemble (or older HealthShare Health Connect Ensemble-based versions).
The InterSystems IRIS has functions that allows create DIWK digital services. A few products have the ability to transform data into wisdom, according to the following pyramid.
How Tax Service, OpenStreetMap, and InterSystems IRIS could help developers get clean addresses
Pieter Brueghel the Younger, Paying the Tax (The Tax Collector), 1640
In my previous article, we just skimmed the surface of objects. Let's continue our reconnaissance. Today's topic is a tough one. It's not quite BIG DATA, but it's still the data not easy to work with: we're talking about fairly large amounts of data. It won't all fit into RAM at once, and some of it won't even fit on the drive (not due to lack of space, but because there's a lot of junk). The name of our subject is FIAS DB: the Federal Information Address System database - the databases of addresses in Russia. The archive is 5.5 GB. And it's a compressed XML file. After extraction, it will be a full 53 GB (set aside 110 GB for extraction). And when you start to parse and convert it, that 110 GB won't be enough. There won't be enough RAM either.
Is there someone that has developped a program in order to create a
"decisiontree"? Depending The answer to a question leads to another question, and so on,
and so on, and there is an option to return to another point in the decisiontree.
Best regards,
Simon.
p.s. I've already got something, but it's not workable. But to get an idea:
For the benefit of those who want to use the Document Database (DocDB) capabilities within InterSystems IRIS, and specifically the REST API it provides, I put together a PostmanCollection that provides samples for several basic calls.
I am pleased to announce the next 2016.2 field test kit, 2016.2.0.605.0.
There are about a hundred changes from the previous field test kit, including the following fixes to problems found by those using the kits in the field:
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