| DataStage Term |
Description |
| DataStage Administrator |
Client program that is used to
manage the project of DataStage. |
| DataStage
server |
DataStage
server engine component that links to DataStage client programs. |
| DataStage Director |
Execution and monitoring of the
program that you want to use DataStage job. |
| DataStage
Designer |
Graphical
design tool that developers use to design and development of the DataStage
job. |
| DataStage Manager |
Program used to manage the
contents of the repository and see DataStage. Please refer to the
"DataStage Manager Guide." |
| Stage |
Component
that represents the data source for DataStage job, and process steps. |
| Source |
I pointed to the source of data
extraction. STEPS, such as, for example. |
| Target |
Refers
to the destination of the data. For example, point to the file to be loaded
to AML (output by DataStage). |
| Category |
Category names used to
categorize the jobs in DataStage. |
| Container |
Process
of calling a common process. |
| Job |
Program that defines how to do
data extraction, transformation, integration, and loading data into the
target database. |
| Job
templates |
And
job processing is performed similar role model. |
| Job parameters |
Variables that are included in
the job design. (For example,. Is the file name and password, for example) |
| Job
sequence |
Control
is a job for a start and run other jobs. |
| Scratch disk |
Disk space to store the data
set, such as virtual record. |
| Table
definition |
Definition
that describes the required data includes information about the associated
data tables and columns. Also referred to as metadata. |
| Partitioning |
For high-speed processing of
large amounts of data, the mechanism of DataStage to perform split of the
data. |
| Parallel
engine |
Engine
running on multiple nodes to control jobs DataStage. |
| Parallel jobs |
Available to parallel
processing, the DataStage job type. |
| Project |
Jobs
and a collection of components required to develop and run. The entry level
to DataStage from the client. DataStage project must be licensed. |
| Metadata |
Data about the data. For
example, a table definition that describes the columns that are building
data. |
| Link |
Each
stage of the job combined to form a data flow or reference lookup. |
| Routine |
Functions that are used in
common. |
| Column
definition |
Define
the columns to be included in the data table. Contains the names and data
types of the columns that make up the column. |
| Environmental parameters |
Variables that are included in
the job design. For example, the file name and password. |
| DB2
stage |
Stage
to be able to read and write to DB2 database. |
| FileSet stage |
Collection of files used to
store the data. |
| Lookup
Stage |
Performing
processing such as a file reference to be used in DataStage or text file or
table. |
| LookupFileSet Stage |
The process of storing a lookup
table. |
| Sequential
Stage |
Want
to manipulate text files. |
| Custom Stage |
The process can not be
implemented in stages, which is provided as standard DataStage, the process
of implementing the language C. |
| Copy
Stage |
The
process of copying the data set. |
| Stage Generator |
The process of generating a
dummy data set. |
| DataSet
stage |
Data
file to be used in the parallel engine. |
| Funnel Stage |
The process of copying the data
from one set of multiple data sets. |
| Filter
Stage |
Processing
to extract records from the input data set. |
| Merge Stage |
Processing the join more than
one input record. |
| LinkCorrector
Stage |
Process
of collecting the data that was previously divided. |
| RemoveDuplicate Stage |
The process of removing
duplicate entries from the data set. |
| ChangeCapture
Stage |
The
process of comparing the two data sets, the difference between the two
records. |
| RowImport Stage |
Process of importing a column
from a string or binary column. |
| RowExport
Stage |
Processing
to export a column of another type string or binary column. |
| Transformer Stage |
Processing to edit item, or type
conversion. |
| Modify
Stage |
Process
of conversion to the specified data type, the conversion of the value to the
specified value NULL. |
| XML input stage |
Reading and processing of XML
file, the extraction of the required element from the XML data. |
| Sort
Stage |
Process
to sort data in ascending or descending order. |
| Join Stage |
Processing the join more than
one input record. |
| RowGenerator
Stage |
Process
of adding a line to an existing dataset |
| ColumnGenerator Stage |
Process of adding a column to an
existing dataset |
| Aggregator
stage |
The
process of aggregating the data. |
| Pivot Stage |
The process of converting
multiple columns into multiple rows of records. |
| Peek
Stage |
Treatment
to destroy the records. |
| Stream link |
Link that represents the flow of
data. |
| Reference
Links |
Input
link that represents the reference data. |
| Reject link |
Link to output the data that do
not meet the criteria you specify. |
| Integer
type |
Data
type that represents the integer value. |
| Decimal type |
Data type represents a number
that contains the value of the decimal point. |
| NULL
value |
Specific
value indicating the unknown value. 0, not the same as a blank or empty
sequence. |
| DataSet |
Collection of data. |
| SQLStatement |
Statement
to manipulate the data in the table. |
| TWS |
Stands for Tivoli Workload
Scheduler. The name of the product you want to create a job net. |
| Hash |
One
way of dividing the data specified in the partitioning function of DataStage.
Partitioning is performed by using a hash value. |
| Modulus |
One way of dividing the data
specified in the partitioning function of DataStage. I do partitioning by
dividing the number of partitions in the specified value. |
| Same |
One
way of dividing the data specified in the partitioning function of DataStage.
Processing as input partition without subdivision has been output by the
previous stage. |
| Job Properties |
Property sheet to make settings
for the job. |
