Oracle Magazine - September/October 2007 - Marcelo Machado

amount of time we spend on tuning tasks by about 70 percent.”
BOB ADLER
Qualcomm’s Hidayatullah
likes Oracle Database 11g’s
adaptive threshold capabilities.
Performance monitoring
is established with baselines,
which capture metric value
statistics and are automatically
computed over the system’s
moving window. The baseline
metric statistics are used to
determine alert thresholds,
and companies can use Oracle
Enterprise Manager to configure
adaptive thresholds for alerts.
Hidayatullah adds that these
settings will enable Qualcomm
to vary the expected performance
levels at certain times
of the day and week. “We can
set the parameters so that the
database automatically senses
the threshold,” he says. “It will
know what the expected load
should be and then adjust the
parameters accordingly.”
Vishu Krishnamurthy, Oracle’s
senior director of XML Database,
search, and information management,
believes that these automated
management capabilities
are becoming increasingly important,
particularly as customers
use Oracle Database to store both
structured and unstructured data
ranging from office documents
and spreadsheets to medical
images and geographical data. “It makes good economic sense
to store, manipulate, and protect all types of information in
a common repository,” he says. “Oracle Database 11g can
manage all information in the enterprise, with robust security
and information lifecycle management (ILM) capabilities.”
DATATYPE CONVERGENCE
Motorola was most enthusiastic about Oracle Database 11g’s
enhanced XML capabilities and more-robust support for
unstructured data. The global wireless and broadband communications
provider implemented Oracle Database 10g to
—Justin Ambrose, Staff DBA, Qualcomm
Justin Ambrose (left) and Shaik Hidayatulla, staff DBAs at Qualcomm, anticipate that Oracle Database 11g’s management
capabilities will save time, give DBAs a better picture of test results, and ultimately, make it easier to tune database
applications to improve performance.
create a large-scale storage system for its Printrak Biometrics
Identification Solution.
According to Aris Prassinos, a database architect for the
biometrics division of Motorola, the company selected Oracle
for its ability to store large, complex biometric images such
as fingerprints, palm prints, facial and iris images, and signatures
in a secure, highly flexible way. Motorola uses Oracle
large objects (LOBs) to store these images within the database,
along with Oracle XML Database (Oracle XML DB) to
store diverse textual data.
Prassinos believes that Oracle Database 11g will improve
ORACLE MAGAZINE SEPTEMBER/OCTOBER 2007 41