A few "ETL-style"
articles courtesy of Jon Mead.
Deleting Historical Data on Oracle Databases By Marin
Komadina is an interesting look at the various options available
for mass-deleting data from an Oracle database. What makes it
interesting is the article conclusion (that the most efficient
way is to embed the DELETE statement in an EXECUTE IMMEDIATE
dynamic sql call, within an anonymous PL/SQL block) but also the
way in which the conclusion is reached - through tracing code
using the various options using the event 10046 feature. One to
bookmark.
Speed and Simplify Data Movement by Kimberley Floss looks at
the new Data Pump feature in Oracle 10g, with the bit that
caught our eye being the facility to pipe the output from a data
pump export right into the input of a data pump import routine.
Lucas Jellema from Amis
covered
this the other week as well, commenting at the time that
"This allows for direct data transfer without the creation of
the intermediate dmp file. It also allows the Import to start
processing as soon as the Export has started, without having to
wait for the Export to complete."
Making a Connection from Oracle to SQL Server is a step-by-step look at how you can connect your
Oracle database to a SQL Server database, using the generic
connectivity feature. It always amazes me how difficult this is
to set up, given that all we're doing is connecting via ODBC,
but this is a pretty good explanation as to how to do it, with
lots of pictures and examples of configuration file entries. See
also
How to read flat files and Excel files as data sources into
Discoverer.
Lastly, Oracle are sponsoring a DMReview web seminar on
Successful Data Warehousing: Guarantee Data Quality with Oracle
Warehouse Builder, hosted by Mary Jo Nott from DM Review and
Oracle's Paul Narth.
|
|
Successful Data Warehousing: Guarantee Data Quality
with Oracle Warehouse Builder
|
Date: |
Wednesday, March 16, 2005 |
Time: |
2:00 pm ET/11:00 am PT |
Duration: |
1
hour |
Efficient extraction, transformation and loading (ETL)
of data into your data warehouse is a
pre-requisite for successful business intelligence
solutions. Oracle Warehouse Builder helps you turn
data into quality information, managing the full
life-cycle from data warehouse design to
information access. Register today to join Mary Jo
Nott from DM Review and Paul Narth from Oracle
Corporation as they discuss how Oracle Warehouse
Builder is addressing the data quality challenge.
During this one-hour, interactive discussion, you
will learn how Oracle Warehouse Builder:
- Manages information life cycles
- Extracts data from heterogeneous data
sources
- Transforms disparate data into quality data
- Reduces ETL development times
This is your opportunity to hear about Oracle
Warehouse Builder first-hand from the experts. And
you'll find out how to try Oracle Warehouse
Builder yourself for FREE. Register today to
attend. |
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|
Registration is free, and it looks like a good way to catch
up on the
new data quality and data profiling features coming with
Paris.