  To stay competitive in today's data driven economy, enterprises large and
small are turning to stream processing platforms to process high volume, high
velocity, and diverse streams of data (fast data) as they arrive. Low-level
programming models provided by the popular systems of today suffer from lack of
responsiveness to change: enhancements require code changes with attendant
large turn-around times. Even though distributed SQL query engines have been
available for Big Data, we still lack support for SQL-based stream querying
capabilities in distributed stream processing systems. In this white paper, we
identify a set of requirements and propose a standard SQL based streaming query
model for management of what has been referred to as Fast Data.
