Kuassi is Director of Product Management at Oracle.
Products under his watch include Database Access frameworks (Net Services, DRCP), Database APIs (JDBC, PHP, Ruby, Python, Perl) and Java in the database.
Mr Mensah holds a MS and post graduate in Computer Sciences from the Programming Institute of University of Paris VI. He is a frequent speaker at IT events and has published several articles and a book http://www.amazon.com/exec/obidos/ASIN/1555583296
Blog http://db360.blogspot.com
United States
Products under his watch include Database Access frameworks (Net Services, DRCP), Database APIs (JDBC, PHP, Ruby, Python, Perl) and Java in the database.
Mr Mensah holds a MS and post graduate in Computer Sciences from the Programming Institute of University of Paris VI. He is a frequent speaker at IT events and has published several articles and a book http://www.amazon.com/exec/obidos/ASIN/1555583296
Blog http://db360.blogspot.com
United States Sessions 2012
PHP Performance & High Availability w Oracle 11g View session page
Session en anglais - Intermédiaire
The RDBMS is often the weakest link of PHP performance. PHP applications also face a second evil: database node failure.
This demo-packed session covers Oracle database mechanisms for PHP performance and high-availability.
Need to sustain 100s of thousands of PHP users with database access? See how Database Resident Connection Pool allows scaling database connectivity without the overhead of connection creation/destruction. The fastest database access is NO db access: see how OCI8 can use Client-side ResultSet caching while maintaining consistence with the database. HTTP is not inherently transactional, see how OCI8 can implement transactions across HTTP requests. Your Database server may fail; see how OCI8 can use Fast Application Notification (FAN) to fail-over database connections to surviving RAC node. Need to upgrade 24 x 7 PHP applications (including database schema)? See how OCI8 use Edition based Redefinition to allow upgrading or patching in use PHP applications.
This demo-packed session covers Oracle database mechanisms for PHP performance and high-availability.
Need to sustain 100s of thousands of PHP users with database access? See how Database Resident Connection Pool allows scaling database connectivity without the overhead of connection creation/destruction. The fastest database access is NO db access: see how OCI8 can use Client-side ResultSet caching while maintaining consistence with the database. HTTP is not inherently transactional, see how OCI8 can implement transactions across HTTP requests. Your Database server may fail; see how OCI8 can use Fast Application Notification (FAN) to fail-over database connections to surviving RAC node. Need to upgrade 24 x 7 PHP applications (including database schema)? See how OCI8 use Edition based Redefinition to allow upgrading or patching in use PHP applications.
Oracle In-database Hadoop: When MapReduce Meets RDBMS View session page
Session en anglais - Intermédiaire
The MapReduce programming model lets developers without experience with parallel and distributed
systems utilize the resources of a large, multi-CPU system. The Oracle RDBMS has had support for the MapReduce paradigm for years through SQL analytics, user defined pipelined table functions and aggregation objects. The Apache Hadoop implements the MapReduce model.
In this session, we describe a prototype of Oracle in-database Hadoop implementation that lets you
write and execute Hadoop compatible applications written in Java directly in the database.
The major advantages of our implementation include:
(1) source compatibility with Hadoop,
(2) minimal dependency on the Apache Hadoop infrastructure,
(3) seamless integration of MapReduce functionality in Oracle SQL
(4) better parallelism and efficiency due to data pipelining (i.e., table functions) and no intermediate materialization.
systems utilize the resources of a large, multi-CPU system. The Oracle RDBMS has had support for the MapReduce paradigm for years through SQL analytics, user defined pipelined table functions and aggregation objects. The Apache Hadoop implements the MapReduce model.
In this session, we describe a prototype of Oracle in-database Hadoop implementation that lets you
write and execute Hadoop compatible applications written in Java directly in the database.
The major advantages of our implementation include:
(1) source compatibility with Hadoop,
(2) minimal dependency on the Apache Hadoop infrastructure,
(3) seamless integration of MapReduce functionality in Oracle SQL
(4) better parallelism and efficiency due to data pipelining (i.e., table functions) and no intermediate materialization.
Previous sessions
PHP Oracle Best Practices (2010)
