Abstract: Data management, one of the most successful software
technologies, is the bedrock of almost all business, government, and
scientific activities, worldwide. Data management continues to grow,
more than doubling in data and transaction volumes every two years
with a growth in deployments to fuel a $15 billion market. A
continuous stream of innovations in capabilities, robustness, and
features lead to new, previously infeasible data-intensive
applications. Yet forty years of DBMS innovation are pushing DBMSs
beyond the complexity barrier where one-size-fits-all DBMSs does not
meet the requirements of emerging applications. While data management
growth will continue based primarily on the relational data model and
conventional DBMSs, a much larger and more challenging data management
world is emerging.

In the 1990's data under DBMS management reached 10% of the world's data.
The six-fold growth of non-relational data in the period 2006-2010 will
reduce that number to well below 5%.

We are entering the next generation of computing with a fundamentally
different computing model and paradigm characterized technologically by
multi-core architectures, virtualization, service-oriented computing, and
the semantic web. Computer Science 2.0 will mark the end of the Computing
Era with its focus on technology and the beginning of the Problem Solving
Era with its focus on higher levels of abstraction and automation (i.e.,
intelligent) tools for real world (i.e., imprecise) domains in which
approximate and ever-changing answers are the norm. This confluence of
limitations of conventional DBMSs, the explosive growth of previously
unimagined applications and data, and the genuine need for problem solving
will result in a new world of data management.

The data management world should embrace these opportunities and provide
leadership for data management in Computer Science 2.0. Two emerging areas
that lack such guidance are service-oriented computing and the semantic
web.

While concepts and standards are evolving for data management in
service-oriented architectures, data services or data virtualization
has not been a focus of the DBMS research or products
communities. Missing this opportunity will be worse than missing the
Internet. The semantic web will become the means by which information
is accessed and managed with modest projections of 40 billion pages
with hundreds of triples per page - the largest distributed system in
the world - the only one. Tim Berners-Lee and the World Wide Web
Consortium view databases are being nodes that need to be turned
inside out. What does the database community think? Semantic web
services will constitute a programming model of Computer Science
2.0. How does data management fit into this semantically rich
environment?

Computer Science 2.0 offers the data management community one of the
biggest challenges in its forty-year history and opens up a new world
of data management. Key to success in this new world will be
collaboration with other disciplines whether at the technical level -
partnering with the semantic technologies community to augment their
reasoning capabilities with systems support - or at the problem
solving level - partnering with real world domains as proposed by the
new discipline of Web Science.