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I understand that datasets contain datatables and that they can house the relationships between those datatables. I am making a simple form that gets data from SQL Server by way of stored procedures that return the records I need subject to certain parameters. It is not strictly necessary that I model relationships between the datables. Are there other benefits of using a dataset to contain them, or am I just as well off to leave them free standing?
For example, you can automatically perform actions on related tables (autodelete). Or you can add restrictions which will depend on such relations.
And it will help you to draw a database diagram.
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So i want to know whether the data analytics can be done by using a little bit amount of data like 100 to 1000 records stored in a database.If i do so then is it called data analytics?
Somebody saying that it is not at all called data analytics if you are analysing a small amount of data.
So i am confusion the data analytics with big data. So can anyone answer me for this?
My big thanks in advance
If you are analyzing data to discover information to aid decision making, It will be called data analytics irrespective of your size of the data. However, yours might not be called as big data analytics. That would have been what your friend/colleague meant.
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I worked on WPF project and connection to MySQL database.
My application is a host and can connect to multi equipment (Equipment1, Equipment2). After connecting to Equipment, all message between host (my app) and equipment need to store to database. Because data for logging is very large, I need to create logs_eqp_[eqmID] table for each equipment (example: logs_eqp_001 for equipment 1, log_eqp_002 for equipment 2).
So, could I use entity framework for this architecture? How could I do?
Regards,
I do not see why would you want to create tables dynamically. It would be much easier to have a single table with an indexed column for equipment name, so you could group, sort or filter your logs by equipment; with this approach you could avoid creating tables in runtime and can just use Entity Framework by the book by manipulating a single collection.
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Say you want each feature to have it's own store for modularity, but multiple features may need the same data x. Is it bad practice to hold x in Feature1Store, Feature2Store, etc?
Yes if the store represents the state of the data. No if the store represents the state of the component. A well excepted rule about data is that you only want one instance of that data. Otherwise you will have consistency issues. But if the data is not changing and you only are providing sorting, filtering or some other component level state multiple instances are ok.
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Is it better to save a image path as (varchar) in a database or save it as blob/varbinary. The image will appear on front end and I will be using asp classic to implement that.
Generally speaking I find that it is easier to save the image path in the database. This makes the database more portable and I find that it is easier to control access to the data.
There is a discussion here that gets further in depth. They come to the same conclusion that I do. File paths are generally better.
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I have a bunch of articles, on which I want to do word frequency and trend analysis.
The articles are tagged with date, author, theme and subject. I want to use these tags to slice the data so that I can get the most common words used for a specific author (or group of authors), theme(s) or subject(s). Overall and over time (trend).
How would I design this database (relational or other) or should I create a data cube?
Rizzoma.com made this with couchDB (noSQL) and Sphinx (fulltext search engine).
You can try to make it in another way, if you want, or test existing solution and repeat it.