DataStage ETL Tool leverages a high-performance identical framework, available in the cloud, The scalable platform gives extensive metadata administration and enterprise connectivity. It combines heterogeneous data, including big data to rest or big data in motion, on both distributed plus mainframe platforms.

It can combine data from different data sources: IBM DataStage can integrate all the information from different sources.
It performs data validation rules: DataStage checks the quality and accuracy of source data before importing it to the target system
Maintains metadata and analyzes it: Metadata is all about data transfer, data browsing, and data description and DataStage analyzes this transferred data efficiently

• Authorizes high-performance batch also real-time data extraction, transforming, and loading.
• Provides built-in scalability to future-proof your architecture.
• Assists developers to be extra efficient and productive throughout automation and also reuse common development responsibilities.
• The specific powerful, industry-leading parallel engine gives built-in scalability to future-proof your design using a design-once-and deploy-anywhere way. 
• IBM InfoSphere DataStage 8.7 gives superior connectivity composed for more popular performance also more reliable exploitation of freshest hardware than more prime options available in InfoSphere DataStage Server
• Effortlessly scale to meet critical workloads

• Below you can find details of each skill of DataStage Developer:

  • DataStage Recognizes those design changes in DataStage code and SQL optimization concerning the production problems based upon the tickets opened.
  • Data warehouse Works upon programs to schedule Data loading and changes utilizing the Data Stage of the legacy system also Data Warehouse over Oracle 9i.
  • SQL Executes quality standards testing upon result tables & related tables utilizing SQL Server Business Intelligence Studio.
  • Unix Advances UNIX shell script to run every IBM InfoSphere DataStage job, carry files to the various landing zone.
  • Database Designs and develops database tables needed to accompany the important constraints to support business rules.
  • DB2 Works beside DS Admin upon setting DB2 Enterprise stage to which can be utilized to load high amounts of data.
  • Parallel jobs Develop DataStage parallel jobs to store data of sequential files, flat files including DB2 Server.
  • Business requirements Associates in collecting business conditions and give out a suitable data Model for DataMart plus Data Warehouse. 
  • Aggregator Uses different stages of Parallel Jobs as an aggregator, sort, transformer, sequential file, and hashed file.
  • Test cases Prepare test cases to Unit testing also coordinates each review of the equivalent by Business Analysts