  Oil & Gas industry relies on automated, mission-critical equipment and
complex systems built upon their interaction and cooperation. To assure
continuous operation and avoid any supervision, architects embed Distributed
Control Systems (DCS), a.k.a. Supervisory Control and Data Acquisition (SCADA)
systems, on top of their equipment to generate data, monitor state and make
critical online & offline decisions.
  In this paper, we propose a new Lambda architecture for oil & gas industry
for unified data and analytical processing on data received from DCS, discuss
cloud integration issues and share our experiences with the implementation of
sensor fault-detection and classification modules inside the proposed
architecture.
