The Future of DataStage – An Overview!


In this DataStage tutorial, we are going to discuss the future of DataStage! Before that, let me explain, what is DataStage?

DataStage is actually two separate things:

In production (and, of course, in development and test environments) DataStage is just another application on the server, an application which connects to data sources and targets and processes (“transforms”) the data as they move through the application. Therefore DataStage is classed as an “ETL tool”, the initials standing for extract, transform and load respectively. DataStage “jobs”, as they are known, can execute on a single server or on multiple machines in a cluster or grid environment. Like all applications, DataStage jobs consume resources: CPU, memory, disk space, I/O bandwidth, and network bandwidth.

DataStage also has a set of Windows-based graphical tools that allow ETL processes to be designed, the metadata associated with them managed, and the ETL processes monitored. These client tools connect to the DataStage server because all of the design information and metadata are stored on the server. On the DataStage server, work is organized into one or more “projects”.

The Future of DataStage

The Future of DataStage
The Future of DataStage

When it comes to the career in the future, the field of DataStage will be the brighter one! Regarding jobs, Dollars seem pretty good for the amount of competence required. While they typically have a long laundry list of ETL/data warehousing tools that you must have x-years of experience in, this is probably irrelevant as far as job security is concerned since you will be prized more for your architectural and business knowledge.

Whether it’s now or in the future, the role of DataStage and Big Data are irreplaceable. The process of Extracting, Transforming, and Loading “meaningful” data into the dataware house is significant since only this data can be processed further and analyzed for considerable business intelligence that determines the success of business policies. This is one of the primary reasons why ETL tools cannot be replaced.

So, whether you’re looking for the bright future, then join DataStage tutorial today! Here at Tutorial Chat, we offer FREE learning guide and training materials to learn DataStage!

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The Future of DataStage – An Overview!
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