Everybody wants their queries
to run instantaneously. Business people don’t care much about the related technical
issues. They have business needs, and it’s up to the IT people to take care
of the how. This article will cover a few infrastructure options.
My (humble) point of view on Data management and data usage. Feel free to contradict me :)
description
Data is a real challenge facing most companies and organisations. This data has to be stored, copied, backed up, archived and deleted. Storing and managing it is half the story though, it has to be cleanesed, analysed and put to good use.Data is the 21st century's oil. My blog's will present my view on it. Please take it as it is, a point of view.
Wednesday, 18 July 2012
Collect and Query Data
This article will cover data collecting and querying methods.
What is an ETL tool ?
Once we've collected the data, how do we query structured, semi-structured and unstructured data ?
What is an ETL tool ?
Once we've collected the data, how do we query structured, semi-structured and unstructured data ?
Labels:
data,
database,
ETL,
noSQL,
query,
semi-structured,
structured,
unstructured
Categorise Data
How to categorise data ? Is all data to be held into a relational database, or is there other ways of storing it ?
follow the guide ...
Labels:
categorise,
category,
data,
ldap,
normalised,
relational,
semi-structured,
structured,
type,
unstructured
Oracle Data Migration
I’d
like to share with you here my adventures in migrating a big database. This
should give you some insight into the different Oracle migration methodologies,
the issues facing the DBA and the business and hopefully, some answers.
Labels:
data,
dataguard,
endian,
endinaness,
goldengate,
migration,
oracle,
pigeons,
rac,
rfc,
rman,
tablespace,
transportable
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