Welcome!

Java IoT Authors: Elizabeth White, Zakia Bouachraoui, Liz McMillan, Pat Romanski, Yeshim Deniz

RSS Feed Item

What Standards for Object Databases?

I thought it would be interested to give you an insight of the discussion currently going on at ODBMS.ORG. The issue is what Standards for Object Databases?
Here are two notes, one from Wiliam Cook and one from Mike Card.
For more details on the discussion, please visit the Forum at ODBMS.ORG.

A copy of the OMG white paper on Next-Generation Object Database Standardization written by the OMG`s Object Database Technology Working Group, can be download here Next-Generation Object Database Standardization

Roberto V. Zicari
--------------

Hi everybody.
I'm sorry that I was not able to attend the meeting on Dec 12. I hope that someone can post some information on it. I think it is great that these topics are being discussed, but I also have some significant disagrements with points being made here.

My biggest issue is that I don't agree with the premise of the OMG RFI and Prof. Subieta's response. The premise is that the problem is "the underlying lack of a set of precise definitions and semantics that has plagued ODMSs for years" [mpcard]. The assumption here is that people didn't use object databases because OODBs didn't have a solid theory like relational algebra. I do not believe that was the reason. I think the reason was that (1) most of the original OODBs systems didn't support query optimization or transactions (2) they had difficulty externalizing their data in a way that could be evolved and used by other tools (3) when the did introduce query languages, they were subject to the same impedence mismatch as relational systems.

I think that Impedence mismatch is a language problem not a data problem. Relational data maps very well to traditional data structures in C, Pascal, or any other programming language: just create an array of records. Relational data maps fairly well to objects too, especially since you can represent relationships easily. The impedence mismatch comes from the need to partition a program into two parts: a query that is sent to the database, and a client program that uses the query results. Previously this partitioning was done by putting the query into a string, which causes all sorts of problems. Native Queries and LINQ are two more modern and effective ways to partition a program into a query and a client, so that the semantic connections between them are preserved. Prof. Subieta's proposal does not address this problem, as far as I can tell.

As for data models, I think that Entity-Relationship models, UML class diagrams, and Subieta's models are all essentially equivalent. They have the concept of records of attributes connected by relationships. The relational model also has ses of records, but the relationships are not explicit in the data model, but must be specified on each join operation. You can argue over fine points of inheritance and such things, but these are small points compared to the basic similarities of the models. It is not fair to compare any of these models to the network model, which as far as I can tell was a hack on top of the hierarchical data model. It is asuming that hierarchical data models have had a resurgence under the name XML; these are very useful for data transmission but are not a suitable foundation for a database.

As for query languages, I don't think that the stack-based query language has anything fundament to offer over OQL. It is like saying that an HP calculator with postfix notation has a more solid theoretical model than a standard calcular that uses infix. I also want to point out that the core of OQL is not really object-oriented, becuase it does not deal with methods. It is just a great query language for ER data models. The key point is "entities and relationships" and that is what OQL was designed for and is good at. I do not agree that OQL is inconsistent. Suad pointed out some difficulties with the Java binding, and perhaps there are some other small problems with the way the standard was defined. But rather than fix these small issues, he claimed that the entire system is inconsistent.
See here for an alternative and more balanced view. I think that Prof. Subieta's query syntax is perfectly reasonable as well. But it is not a fundamental advance, as far as I can tell.

NOTE: Native Queries are not propretary; they were described by one of my students and me in an ECOOP paper and then implemented by db4objects. They have been implemented by others as well, although not in any commercial systems. They are also similar to Microsoft's LINQ in some ways.

So, to summarize. I think that OMQ is again trying to solve the wrong problem. I sent in a response to the RFI; and yes, it wasn't what you wanted to hear. But I'm going to keep saying it.

The problem is not a lack of a grand unifying theory. There is plenty of theory to cover ER models, OQL, and other traditional ideas. The disucssions you are having don't deal with impedence mismatch, which can happen even with an object-oriented language accessing an object-oriented database using OQL! If you put OQL into a string, then you are going to have impedence, and nothing about the formality of the data model or query language is going to fix it. The real problems are impedence mismatch, good query optimization, solid transaction support, evolution of data, and scalability to multiple servers. These are things that OODB vendors didn't address until it was too late. They thought that objects alone would magically make everthing work well. But.. they don't.

I'm sorry to be so negative about this, but I really think that there is an opportunity to improve the DB/PL interface.

Wiliam Cook
Assistant Professor
Department of Computer Sciences
University of Texas at Austin

--------------
Hello Prof. Cook-

You wrote:

"My biggest issue is that I don't agree with the premise of the OMG RFI and Prof. Subieta's response. The premise is that the problem is "the underlying lack of a set of precise definitions and semantics that has plagued ODMSs for years" [mpcard]. The assumption here is that people didn't use object databases because OODBs didn't have a solid theory like relational algebra. I do not believe that was the reason. I think the reason was that (1) most of the original OODBs systems didn't support query optimization or transactions (2) they had difficulty externalizing their data in a way that could be evolved and used by other tools (3) when the did introduce query languages, they were subject to the same impedence mismatch as relational systems."

I don't think the RFI itself had a "premise," at least that I am aware of. Regarding your 3 reasons why ODBMSs were not widely adopted, I would argue that you could trace all 3 of these issues to the lack of a good underlying object model and set of definitions and semantics. I cannot see how you think the "impedance mismatch" or DB/PL interface issue will be solved without laying a good theoretical foundation.

"The problem is not a lack of a grand unifying theory. There is plenty of theory to cover ER models, OQL, and other traditional ideas. The disucssions you are having don't deal with impedence mismatch, which can happen even with an object-oriented language accessing an object-oriented database using OQL! If you put OQL into a string, then you are going to have impedence, and nothing about the formality of the data model or query language is going to fix it."

Sure, but no one has ever tried to tie object definition/store models all the way up to a QL, defined with an abstract query processor, like Prof. Subieta has (at least as far as I have read). It is true that the formality of the data model won't solve the "impedance mismatch" between a query string and a native PL, but again this falls into the area of further work we have to do. Everyone thinks they have the best way to do this: everyone in ODMG thought their APIs were best and their way was best, and that a formal set of definitions, semantics, and object models was unnecessary because in the end developers just need to write code. That's why ODMG chapter 2 was so weak and why there were so many "holes" in the ODMG specification: we were trying to write something that would cover several existing products without requiring anyone to make significant code changes. Users didn't care about the standard because it did not guarantee application code (or even data) portability, so what did it matter? There was no conformance test suite, so you couldn't even say for sure who was conformant to what.

"The real problems are impedence mismatch, good query optimization, solid transaction support, evolution of data, and scalability to multiple servers. These are things that OODB vendors didn't address until it was too late. They thought that objects alone would magically make everthing work well. But.. they don't."

Yes these are real problems but I would argue that solving them will require a common theoretical foundation from which to build. I guess we'll see if there is consensus on that view or not at next month's ODBTWG telecon.

-Mike Card
Syracuse Research Corporation (SRC)

Read the original blog entry...

IoT & Smart Cities Stories
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...