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dataflyten

Dataflyten is a term used in data engineering to describe the end-to-end flow of data through an organization's information systems. It encompasses data capture from source systems, ingestion, transformation, storage, and delivery to downstream applications and analytics. The concept applies to both real-time and batch processing and emphasizes data quality, lineage, and governance as data moves from producers to consumers.

A typical dataflyten architecture includes data sources, ingestion mechanisms (connectors, APIs, streaming sources), data processing components

Practically, dataflyten is realized as a data pipeline or platform architecture that enables reliable, scalable movement

The term is used variably across industries; there is no single formal definition. It serves as a

(ETL,
ELT,
or
stream
processing),
storage
layers
(data
lake,
data
warehouse,
and
operational
data
stores),
and
delivery
mechanisms
for
reporting,
dashboards,
or
machine
learning
workflows.
Orchestration
and
scheduling
coordinate
pipelines,
while
metadata
management
and
data
catalogs
provide
discovery
and
lineage.
Security,
access
control,
and
privacy
protections
are
integrated
across
the
flow.
of
data
to
analytics
and
operational
systems.
Organizations
strive
for
low
latency
where
needed,
resilience
to
failures,
and
clear
data
provenance
to
support
compliance
and
trust.
broad
umbrella
for
concepts
such
as
data
integration,
data
engineering,
and
event-driven
architectures
that
organize
data
movement
from
source
to
insight.