A simple question

[Mich Talebzadeh <mi...@peridale.co.uk>]

We always assume that the strength of Hive comes from its ability to use a
very close ensemble to ANSI SQL enabling queries to be done with a smooth
learning curve,

 

Additionally we like to assume that Hive strength is about Schema on Read.
However, after having some discussion on it, we still need to know the table
composite (columns, type etc.) before we can create a table for  raw data,

 

In short it does not make sense to store the data in Hive without knowing
some sequence of data. For example we cannot digest an excel sheet data
without understanding its format?

 

Simple point. If I have a currency column in excel I can do aggregates in
that column in excel. In relational databases I can get away with storing
the value as currency in format 999,999,999,99 and another column for CCY
(USD, GBP, EUR etc).

 

In EXECL I can display $999,999,999.99 and do operations on it. In Hive I
will need to find out how to interpret the whole String. What other options
do I have.

 

I don't know if this make sense. We can of course store excel data in Hive
as heap. However, some columns end up to be difficult to interpret when we
read the schema?

 

 

Thanks

 

 

Dr Mich Talebzadeh

 

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Sybase ASE 15 Gold Medal Award 2008

A Winning Strategy: Running the most Critical Financial Data on ASE 15

 
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Author of the books "A Practitioner's Guide to Upgrading to Sybase ASE 15",
ISBN 978-0-9563693-0-7. 

co-author "Sybase Transact SQL Guidelines Best Practices", ISBN
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Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume
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