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My question is that I want to learn nodejs/express, and make a super simple web project. It would be a database with tables : users, video_games, categories.
The web site will just show list of games (just an example).
In this typical case, what would be more efficient : Mysql or MongoDB (SQL or NoSql) ?
In this particular case were you want to show only list ( you don't want to actual store videos, doc, texy, etc..) SQL database will be a good choice.
Another reason to use SQL database is that your data is relational ( I am assuming that the data i.e video_games, category...etc are linked to users) were SQL database suits more.
You should go to nosql database only when there is to relationship between your data ( well this is not the only case, but for beginners were your aim is to simply pick the right database this suffice)
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I merged two databases for analyses purposes. One of these databases is out of production, so the data is not changing. The other db is live and continuously growing.
What's the best practice in terms of data management/storage? Do I have to delete all rows and reload + union data from both databases or is there a better way to manage this?
Thanks in advance
Sam
If you know the SSIS then make a package which will check keys and based on that it will inserted only unique rows.
You can easily apply lookup via ssis in source and destination.
Let me know if you need any help
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I am about to develop a small cms\forum. Multiple customers are going to have there own access where the customers can communicate white them.
What is best practices- to make separate SQL db to each customer's cms data or one big to contain all the customers data?
As I cannot comment, so I can only type here.
It is strange that you would like to have separate database for each customer and it seems impossible to manage multiple db for just one purpose or function. For example, how could you identify which db belong to which customer? Also, do you expect to have many resource to allocate to each customer? a db simply waste if the customer is not active.
So, I suggest you to use one db to manage all the customers data which is normal solution.
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I'm developing an application for iOS, Android, Windows Phone and in the future a web version of it.
I'm relatively new in databases so I started learning a bit of SQL and PostgreSQL.
My application is for industry and will show pruducts and other information relatively with that.
My question is should I use SQL database or NoSQL database, and which should I use?
Thanks!
Use the database that makes it easiest to model your data. If your data is relational, use a relational database. If your data is best represented as a document, use a document database. If your data is best represented as a graph, use a graph database.
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I am designing a database for a form which contains many select boxes and check boxes lists.
I am unsure whether to populate these lists from a table in the database or from the select html text.
as part of db design best practice which is the preferred method.
If you expect the form elements (checkboxes, lists) are likely to change often, or are conditional (based on configurable permissions/roles), then they should come from a database.
However, if they are mostly static (rarely change, not dependent on configurable permissions), then you should hard-code them. The big benefit of hard-coding them is less traffic on your DB. This will yield the best performance.
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I want to migrate data from one database to another database in Microsoft SQL Server 2005. I need to verify those rows retrieved before I insert them to the destination database's tables. Which approach is reasonable for this kind of things?
I am trying to use two datasets in my VB.NET program. Is it reasonable? Can you suggest me?
Thanks in advance,
RedsDevils
It depends on how much data you're talking about, but I'd tend to pass on .Net datasets for a migration task, as that means pulling all the data into memory. If you must do this via a .Net client program, at least use a DataReader instead. But what's even better is to keep it all in Sql Server via Sql Server Integration Services.