  In this paper we present a new family of Intensional RDBs (IRDBs) which
extends the traditional RDBs with the Big Data and flexible and 'Open schema'
features, able to preserve the user-defined relational database schemas and all
preexisting user's applications containing the SQL statements for a deployment
of such a relational data. The standard RDB data is parsed into an internal
vector key/value relation, so that we obtain a column representation of data
used in Big Data applications, covering the key/value and column-based Big Data
applications as well, into a unifying RDB framework. We define a query
rewriting algorithm, based on the GAV Data Integration methods, so that each
user-defined SQL query is rewritten into a SQL query over this vector relation,
and hence the user-defined standard RDB schema is maintained as an empty global
schema for the RDB schema modeling of data and as the SQL interface to stored
vector relation. Such an IRDB architecture is adequate for the massive
migrations from the existing slow RDBMSs into this new family of fast IRDBMSs
by offering a Big Data and new flexible schema features as well.
