  We present Sedano, a system for processing and indexing a continuous stream
of business-related news. Sedano defines pipelines whose stages analyze and
enrich news items (e.g., newspaper articles and press releases). News data
coming from several content sources are stored, processed and then indexed in
order to be consumed by Atoka, our business intelligence product. Atoka users
can retrieve news about specific companies, filtering according to various
facets. Sedano features both an entity-linking phase, which finds mentions of
companies in news, and a classification phase, which classifies news according
to a set of business events. Its flexible architecture allows Sedano to be
deployed on commodity machines while being scalable and fault-tolerant.
