Datastage is an ETL tool which evokes data, measure and transforms data from source to destination, these sources may include relational database, sequential files, archives, external data files, and enterprises, etc., Datastage promotes business report by giving quality data to aid in achieving business knowledge.
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Datastage is used as an interface among different systems. It takes care of extracting the data, translating data, and loading data from source to destination. Datastage was launched by VMark in the mid-’90s, it was renamed IBM WebSphere DataStage in 2005 after IBM procured Datastage and later it was renamed as IBM Infosphere Datastage which is the latest version of DataStage.
There are few more important versions of IBM DataStage in the market. They are:
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.
There are two different components in Datastage they are
Datastage developers are also distinguished as an ETL Developer, an IBM Datastage Developer supervises technology design also building, including the testing and implementation of multiple tools plus solutions. Datastage Developers make a report of specifications, provide estimations, also set up Datastage projects according to over requirements.
Top 10 skills required for a Datastage developer
Datastage Recognize those design changes in DataStage code also 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 so as an aggregator, sort, transformer, sequential file including hashed file.
Test cases Prepare test cases to Unit testing also coordinates each review of the equivalent by Business Analysts.
Datastage is one of the best tools which is used to measure and transform data through different systems, and when it comes to the question of why to learn Datastage? Then my answer will be, Notwithstanding many other ETL tools in the market, Datastage implies as one of the powerful data warehousing tools. The tool is flawlessly fit for people who want to become data analysts and data science professionals, business intelligence experts, etc.
Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.