  An evolved real-time data processing strategy is proposed for high-energy
physics experiments, and its implementation at the LHCb experiment is
presented. The reduced event model allows not only the signal candidate firing
the trigger to be persisted, as previously available, but also an arbitrary set
of other reconstructed or raw objects from the event. This allows for higher
trigger rates for a given output data bandwidth, when compared to the
traditional model of saving the full raw detector data for each trigger, whilst
accommodating inclusive triggers and preserving data mining capabilities. The
gains in physics reach and savings in computing resources already made possible
by the model are discussed, along with the prospects of employing it more
widely for Run 3 of the Large Hadron Collider.
