Larry Ellison's publicly proclaimed goal is to make Oracle another IBM.
1960's, Watson's IBM, not Lou Gerster's IBM. It looks like he came close to
the goal, i.e., he did create another IBM, unfortunately the latter
incarnation (even Oracle market cap today is actually identical to IBM's).
Nothing depicts better what Oracle became than the latest release of Oracle
database - 12cR2. Oracle is dead last in the race to SAP Hana defined (as SAP
likes to point out ) goal of in-memory, columnar database. Even IBM beat
Oracle with actually quite solid IBM BLU Acceleration product released many
months ago. What a journey - from little 70's database startup that beat
mighty IBM to market using IBM's own invention (relational database), killed
other similar competition like Sybase, Informix, Ingres with innovative
tactics like identical database port to everything to become n... (more)
(Please refer to the following article: Oracle 12c In-Memory, Columnar
Database & How It Relates to SAP Hana for update on IMDB/Columnar databases)
Contemporary large servers are routinely configured with 2TB of RAM. It is
thus possible to fit an entire average size OLTP database in memory directly
accessible by CPU. There is a long history of academic research on how to
best utilize relatively abundant computer memory. This research is becoming
increasingly relevant as databases serving business applications are heading
towards memory centric design and implementation.
If you si... (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
Existing tools aiming at automating and improving this process are still
somewhat immature and wide scale Machine Learning enterprise adopti... (more)
Data processing power is likely to continue growing. Are contemporary IT
development methods, processes and procurement practices properly positioned
to take advantage of increasing capabilities?
CPU/Memory/Storage can today be provisioned in a few clicks. Limitations
presented by processing power and physical infrastructure will continue to be
of less importance, as was the case in the past.
We are gradually coming close to a situation where constraints determining
present corporate IT standards are not an issue any more. For example, it is
current practice that OLTP and analyti... (more)
DR sites are typically built as an exact replica of the primary site.
Application and database software is installed on DR site and sits there
mostly unused, waiting for a disaster to happen. DR site is very expensive
proposition than only large companies are able to afford. Amazon AWS is an
interesting alternative to having your own DR site.
Oracle databases on the DR side are in Data Guard configuration with a
primary site and actively apply archive log files shipped from there. Pay per
use, scalable Amazon Cloud model makes it an attractive alternative to
creating and maintai... (more)