You might have seen the recent news reports about the collision between U.S. and Russian communication satellites. The U.S. satellite was one of the Iridium satellites. What wasn’t reported and you probably don’t know is that an object database management system (ODBMS) is an important part of the Iridium system. Even though ODBMSs are a [...]
February 13, 2009
I am now also posting on the Cutter Blog. My initial posting is (The Acronym) SOA is (Perhaps) Dead (at Some Companies); Long Live Services. It is a response to Anne Thomas Manes’ SOA is Dead; Long Live Services on her blog at the Burton Group.
January 9, 2009
The typical definition of an atomic task or process is one that cannot be decomposed further. This is vague and subject to interpretation. The Decomposition Matrix on this site uses a specific definition: A task (for business process diagrams) or a process (for data flow diagrams) is atomic if every input relates to every output [...]
December 3, 2008
My last posting referenced the criteria for a well-formed business process diagram mentioned in Business Process Driven SOA using BPMN and BPEL by Matjaz B. Juric and Kapil Pant. I am going to expand on their criteria to create a more comprehensive definition of a well-formed business process diagram.
To start, here are three criteria from [...]
November 18, 2008
I recently received two new books on business process modeling. Both books looked interesting because they had great titles. As it turns out, one book is great and the other not so good.
The not so good book is Business Process Driven SOA using BPMN and BPEL by Matjaz B. Juric and Kapil Pant. There are [...]
October 9, 2008
The Design Decomposition Blog is written by Doug Barry.
The JDO Query Language interface (JDOQL) has the following goals:
Query language neutrality. The underlying query language might be a relational
query language such as SQL; an object database query language such as OQL; or
a specialized API to a hierarchical database or mainframe EIS system.
Optimization to specific query language. The Query interface is capable of
optimizations; therefore, the interface has enough user-specified information to allow for the JDO implementation to exploit data source specific
query features.
Accommodation of multi-tier architectures. Queries may be executed entirely in
memory, or may be delegated to a back end query engine. The JDO Query interface
provides for both types of query execution strategies.
Large result set support. Queries might return massive numbers of JDO instances
that match the query. The JDO Query architecture provides for processing the
results within the resource constraints of the execution environment.
Compiled query support. Parsing queries may be resource-intensive, and in many
applications can be done during application development or deployment, prior to
execution time. The query interface allows for compiling queries and binding run-time
parameters to the bound queries for execution.
Additional
information on JDOQL, including a BNF grammar, can be found at the Sun
website (new window).
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