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DataStage

DataStage is a data integration and ETL (extract, transform, load) tool developed by IBM, originally created by VMark, then Ascential Software, and acquired by IBM in 2008 as part of the InfoSphere Information Server suite. It provides a graphical environment for designing, building, testing, and running data integration jobs that move and transform data between heterogeneous sources and targets. DataStage emphasizes scalable, parallel processing to handle large data volumes across enterprise environments.

Architecture and operation

DataStage consists of client components and a run-time engine. The Designer is used to create jobs, the

Connectivity and data sources

DataStage provides a wide range of connectors and stages for relational databases (e.g., Oracle, IBM DB2, SQL

Metadata and governance

As part of the IBM Information Server family, DataStage integrates with metadata and governance components such

Deployment and use cases

DataStage runs on Windows and UNIX/Linux platforms within enterprise data centers and supports scheduling, logging, and

Director
to
run
and
monitor
jobs,
and
a
central
Repository
stores
metadata
and
project
definitions.
Jobs
are
built
from
stages—such
as
source,
transformer,
and
target
stages—connected
by
links.
DataStage
supports
parallel
jobs
that
partition
data
to
exploit
multi-processor
and
multi-node
architectures,
enabling
high-performance
data
integration.
Server),
data
warehouses,
mainframes,
flat
files
(CSV,
XML,
JSON),
and
emerging
big
data
platforms
(Hadoop,
HDFS,
Spark).
It
relies
on
vendor-specific
connectors
and
ODBC/JDBC
interfaces
to
interact
with
diverse
systems.
as
Information
Governance
Catalog
and
Metadata
Manager,
supporting
data
lineage,
impact
analysis,
and
metadata-driven
development.
administration
through
its
workflow
tools.
Common
use
cases
include
data
migration,
data
warehousing
ETL,
data
consolidation,
and
cross-system
data
integration.