Many products are available as open source or proprietary products that can
handle Big Data. Which one is best fit for this task?
Today's classic RDBMSs and tools are able to quickly load the data, process
it and present results in an easy to understand format. You can use SQL
or programmatic interface to process the data randomly or in batch; RDBMS's
keep data safe, protected against hardware and software failures.
Standards tools and products are not able to cope with Big Data requirement,
which is not dissimilar to what is involved in processing today's regular
data sets, just on a much bigger scale. Mainstream companies like telcos,
financials, web companies as well as government are reaching the limit of
what can be efficiently processed by classic RDBMS techhnologies.
When it comes to picking a proper platform and tools to handle your Big Data
there are a cou... (more)
Machine Learning is a critical part of extracting value from Big Data.
Choosing proper model, preparing data and getting usable results on large
scale data is non-trivial exercise. Typically process consists of model
prototyping using higher level, (mostly) single machine based tool like R,
Matlab, Weka, then coding in Java or some other language for large scale
deployment. This process is fairly involved, error prone, slow and
inefficient.
Existing tools aiming at automating and improving this process are still
somewhat immature and wide scale Machine Learning enterprise adopti... (more)
The Oracle Database Cloud is Platform as a Service ( PaaS ) so it only makes
sense to compare it to Oracle on Amazon RDS. Oracle on Amazon EC2, on the
other hand, is an IaaS ( Infrastructure as a Service ) offering, which gives
you full control over the installation, features and actions around your
database.
Oracle Public Cloud will consist of a number of major services, the Oracle
Database Cloud being one of them. Please refer here for a complete list of
services. One of the most interesting characteristics of the Oracle Database
Cloud is that there is no need to purchase d... (more)
A recent BlackBerry outage is the nightmare for both RIM and its
users. Nature and mass popularity of Blackberry service make this
particular outage highly visible. There are many other in-house outages we
never hear about. Companies prefer to keep silent about them, if they can.
The only insight we get into the poor state of DR procedures is in some
public cases like this one, or from limited personal experience. In my Oracle
database infrastructure consulting career I have seen several serious
production outages and was part of a few data recovery efforts.
Backups and DR proc... (more)
Oracle RMAN (Recovery Manager) catalog database contains backup metadata
for all enterprise wide Oracle databases. Each database backed up through
RMAN needs connection to a central backup repository database. RMAN catalog
is purged and maintained by removing obsolete backup records, crosschecking
with existing media etc. If central repository grows too big then backup
performance will suffer since it will take too long for RMAN to locate
metadata.
Amazon Web Services gives us the ability to quickly and easily create either
brand new RMAN catalog database or move an existing c... (more)
Ranko Mosic, BScEng, is specializing in Big Data/Data Architecture consulting services ( database/data architecture, machine learning ).
His clients are in finance, retail, telecommunications industries.
Ranko is welcoming inquiries about his availability for consulting engagements and can be reached at 408-757-0053 or ranko.mosic@gmail.com
Guy Salton
Mark Troester
Noelani McGadden
Don Demcsak
Bart Driscoll
Michael Maximilien
John Walicki
Lisa Uhrmacher
Jim Frey
Greg Gorman
