IBM® InfoSphere® DataStage® has several built-in stage types for use in parallel jobs. These stages are used to represent data sources, data targets, or transformation stages. Parallel stages are organized into different groups on the palette: General; Data Quality; Database; Development/Debug; File; Processing; Real Time; Restructure

Jun 30, 2014 · In this tutorial, you use InfoSphere DataStage to develop jobs that extract, transform, and load data. By transforming and cleansing the source data and applying consistent formatting, you enhance the quality of the data.

The following diagram represents one of the simplest jobs you could have: a data source, a Transformer (conversion) stage, and the final database. The links between the stages represent the flow of data into or out of a stage. In a parallel job each stage would correspond to a process.

IBM InfoSphere DataStage and QualityStage Version 11 Release 3 Parallel JobAdvanced Developer's Guide SC19-4277-00

Chapter 1. InfoSphere DataStage parallel jobs .....1 Chapter 2. Designing parallel jobs . . . 3 Parallel processing .....3 Pipeline parallelism .....3 Partition parallelism .....4 Combining pipeline …

In this tutorial, you use InfoSphere® DataStage® to develop jobs that extract, transform, and load data. By transforming and cleansing the source data and applying consistent formatting, you enhance the quality of the data. In this scenario, the worldwide companies, GlobalCo and WorldCo, are merging.

An overview of parallel stages in DataStage: General, Debug and development, processing, file, database, real-time, restructure, data quality, sequences.

• Use parallel datasets to land intermediate results between parallel jobs – Parallel datasets retain data partitioning and sort order – Datasets can only be read by other DataStage parallel jobs

Parallel jobs brings the power of parallel processing to your data extraction and transformation applications. This chapter gives a basic introduction to parallel processing, and describes some of the key concepts in designing parallel jobs for InfoSphere® DataStage®.

Nov 18, 2024 · The container can be shared or private; the main role is to visually make it simple so that the complex database job design and letting the design for ease of usage and recognition. Annotation is basically used for adding floating Datastage descriptions and notes on job posts.