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What NewSQL distributions are suited to dealing with data warehouses and spatial queries? (MemSQL, VoltDB, NuoDB, what? and why)
MemSQL can handle data warehousing using disk-based columnstores (https://docs.memsql.com/concepts/v6.7/columnstore/) for fact tables because they can handle very large tables with fast distributed joins (https://www.memsql.com/blog/6-5-performance/) and star joins (https://www.memsql.com/blog/performance-for-memsql-67/). And it can handle geospatial (https://www.memsql.com/content/geospatial/) types and indexing as well.
Many of these databases have a free to use or free to tryout version. MemSQL has a free to use version for up to 128gb ram (https://www.memsql.com/blog/announcing-memsql-free-tier/). I should note I work at MemSQL :-).
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I need a big database for testing, but I cannot find a suitable database.
The database has to have about 5 relationships.
Is there the best way to create a big database?
There are APOC procedures for Generating Graphs.
For example, this would create 1000 Foo nodes and 5 randomly placed BAR relationships, using the Erdős–Rényi model:
CALL apoc.generate.er(1000, 5, 'Foo', 'BAR')
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Which one is more futureproof at this point?
Which one is better for creating simple web apps in smallest time?
This also might be a question of JS vs Ruby, what do you think of this?
What are the pros and cons of each?
I suggest you do more google on this topic because it is a very general topic. However these articles offer some comprehensive comparisons:
http://ilikekillnerds.com/2014/07/should-i-use-ruby-on-rails-or-node-js-for-my-next-projectstartup/
http://fabianosoriani.wordpress.com/2011/09/11/when-to-ruby-on-rails-when-to-node-js/
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I'm currently finishing my Master and I probably won't be joining the academic ranks. I really like Machine Learning, Data Mining, AI in general.
How can I stay up to date with all the new research? Should I subscribe to a Journal? Maybe IEEE or ACM? I don't mind reading papers at all, but it seems like a lot of published papers are accessible only in academia.
How do you stay up to date in this fields?
Besides a rich bank of free papers on the web there are a lot of website providing the state-of-the-art artificial intelligence courses which are fun to take and learn such as MIT open courseware and moocs such as coursera which is the most fun and enjoyable resourse in the web.
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Is there any ORM that wraps up CoreData and lets developer just deal with domain logic? Like what ActiveRecord does in Ruby on Rails.
AFAIK, there are Objective-Record and MagicRecord that handle querying and persistence nicely.
How about validation and association, is there an open source project out there that provides these features?
Thanks
You should not wrap Core Data. Core Data is abstracted away already and adding another layer on top of it is just going to make your code cumbersome and error prone.
Core Data != ActiveRecord and if you are going to do iOS development it is best if you learn the paradigms of Objective-C/Cocoa instead of trying to avoid them.
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Would Node.js (which uses a non-blocking I/O) be suitable for building a db driven application like Stack Overflow My understanding is that nb I/O is good when the requests don't take much time and db query could be a time-intensive operation. Is my understanding correct or am I missing something?
I guess a better question would be - which would be a better option to build a db driven app (like Stack Overflow), something like node.js or something like RoR/Django/Play?
I'm asking for the pros and cons of each.
Yes, Node.js is suitable for database-driven applications as long as there is a good asynchronous I/O node.js library for your database engine of choice.