DataStage Terminology

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.

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