DataStage Modules

The DataStage Client components:

Administrator :- Administers DataStage projects, manages global settings and interacts with the system. Administrator is used to specify general server defaults, add and delete projects, set up project properties and provides a command interface to the datastage repository.
With Datastage Administrator users can set job monitoring limits, user privileges, job scheduling options and parallel jobs default.
Designer :- used to create DataStage jobs which are compiled into executable programs. is a graphical, user-friendly application which applies visual data flow method to develop job flows for extracting, cleansing, transforming, integrating and loading data. It’s a module mainly used by Datastage developers.
Manager :- it's a main interface to the Datastage Repository, allows its browsing and editing. It displays tables and files layouts, routines, transforms and jobs defined in the project. It is mainly used to store and manage reusable metadata.
Director :- manages running, validating, scheduling and monitoring DataStage jobs. It’s mainly used by operators and testers.

Datastage Administrator view and project properties

Datastage Designer view with a job sequence

Datastage Manager view

DataStage Director

Use the Director to validate, run, schedule, and monitor your DataStage jobs. You can also gather statistics as the job runs.

DataStage Designer

The DataStage Designer allows you to use familiar graphical point-and-click techniques to develop job flows for extracting, cleansing, transforming, integrating and loading data into target files and tables.

The Designer provides a “visual data flow”method to easily interconnect and configure reusable components.

DataStage Administrator

Use the Administrator to specify general server defaults, add and delete projects, and to set project properties. The Administrator alsoprovides a command interface to the DataStage repository.

Use the Administrator Project Properties window to:

Set job monitoring limits and other Director defaults on the General tab.
Set user and group privileges on the Permissions tab.
Enable or disable server-side tracing on the Tracing tab.
Specify a user name and password for scheduling jobs on the Schedule tab.
Specify parallel job defaults on the Parallel tab.
Specify Job Sequencer defaults on the Sequence tab.

DataStage Architecture

The top half displays the Clients. Below there are two engines: The Server engine that runs DataStage server jobs and the parallel engine that runs parallel jobs. Our focus in this course is on Parallel jobs.

The DataStage client components are:

Administrator
Administers DataStage projects and conducts housekeeping on the server

Designer
Creates DataStage jobs that are compiled into executable programs

Director
Used to run and monitor the DataStage jobs
The Repository is used to store DataStage objects. The Repository is shared with other applications in the Suite.

DataStage Overview

IBM® InfoSphere® DataStage® integrates data across multiple and high volumes of data sources and target applications.

IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and the IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition and the Enterprise Edition. Like several other IBM products (e.g. IBM WebSphere Portal from the IBM Lotus family), DataStage belongs to another brand than points its name.
DataStage was conceived at VMark, a spin off from Prime Computers that developed two notable products: UniVerse database and the DataStage ETL tool. The first VMark ETL prototype was built by Lee Scheffler in the first half of 1996. Peter Weyman was VMark VP of Strategy and identified the ETL market as an opportunity. He appointed Lee Scheffler as the architect and conceived the product brand name "Stage" to signify modularity and component-orientation]. This tag was used to name DataStage and subsequently used in related products QualityStage, ProfileStage, MetaStage and AuditStage. Lee Scheffler presented the DataStage product overview to the board of VMark in June 1996 and it was approved for development. The product was in alpha testing in October, beta testing in November and was generally available in January 1997.

VMark acquired UniData in October 1997 and renamed itself to Ardent Software. In 1999 Ardent Software was acquired by Informix the database software vendor. In April 2001 IBM acquired Informix and took just the database business leaving the data integration tools to be spun off as an independent software company called Ascential Software. In November 2001, Ascential Software Corp. of Westboro, Mass. acquired privately held Torrent Systems Inc. of Cambridge, Mass. for $46 million in cash. Ascential has stated a commitment to integrate Orchestrate's parallel processing capabilities directly into the DataStageXE platform. . In March 2005 IBM acquired Ascential Software and made DataStage part of the WebSphere family as WebSphere DataStage. In 2006 the product was released as part of the IBM Information Server under the Information Management family but was still known as WebSphere DataStage. In 2008 the suite was renamed to InfoSphere Information Server and the product was renamed to InfoSphere DataStage.

• Enterprise Edition (PX): a name give to the version of DataStage that had a parallel processing architecture and parallel ETL jobs.
• Server Edition: the name of the original version of DataStage representing Server Jobs. Early DataStage versions only contained Server Jobs. DataStage 5 added Sequence Jobs and DataStage 6 added Parallel Jobs via Enterprise Edition.
• MVS Edition: mainframe jobs, developed on a Windows or Unix/Linux platform and transferred to the mainframe as compiled mainframe jobs.
• DataStage for PeopleSoft: a server edition with prebuilt PeopleSoft EPM jobs under an OEM arragement with PeopleSoft and Oracle Corporation.
• DataStage TX: for processing complex transactions and messages, formerly known as Mercator. Now known as WebSphere Transformation Extender.
• ISD (Information Services Director, ex. DataStage RTI): Real Time Integration pack can turn server or parallel jobs into SOA services.

InfoSphere DataStage is a powerful data integration tool. It was acquired by IBM in 2005 and has become a part of IBM Information Server Platform. It uses a client/server design where jobs are created and administered via a Windows client against central repository on a server. The IBM InfoSphere DataStage is capable of integrating data on demand across multiple and high volumes of data sources and target applications using a high performance parallel framework. InfoSphere DataStage also facilitates extended metadata management and enterprise connectivity

It has three levels of Parallelism like AbInito which are:

1) Pipeline Parallelism

2) Data Parallelism

3) Component Parallelism

Architecture

It integrates data on demand with a high performance parallel framework, extended metadata management, and enterprise connectivity.

* Supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to highly complex.
* Offers scalable platform that enables companies to solve large-scale business problems through high-performance processing of massive data volumes
* Supports real-time data integration.
* Enables developers to maximize speed, flexibility and effectiveness in building, deploying, updating and managing their data integration infrastructure.
* Completes connectivity between any data source and any application.

What is IBM WebSphere DataStage?

• Design jobs for Extraction, Transformation, and Loading (ETL)
• Ideal tool for data integration projects –such as, data warehouses, data marts, and system migrations
• Import, export, create, and manage metadata for use within jobs
• Schedule, run, and monitor jobs, all within DataStage
• Administer your DataStage development and execution environments Create batch (controlling) jobs

DataStage is a comprehensive tool for the fast, easy creation and maintenance of data marts and data warehouses. It provides the tools you need to build, manage, and expand them. With DataStage, you canbuild solutions faster and give users access to the data and reports they need.

With DataStage you can:
• Design the jobs that extract, integrate, aggregate, load, and transform the data for your data warehouse or data mart.
• Create and reuse metadata and job components.
• Run, monitor, and schedule these jobs.
• Administer your development and execution environments.