DataStage training can offer various benefits to an organization that employs ETL developers and project administrators for a large chunk of its operations. The importance of the course is reinforced with huge names like IBM not only supporting and recommending it but also taking an active part in designing the course in the first place. Once you have implemented the course in your organization, it will enable your ETL developers and project administrators to develop skills that come in handy when it comes to creating parallel jobs in DataStage. The primary focus of the course is kept on the developers.
All of the administrative features and functionalities which are useful for the DataStage developers are elaborated in detail while the rest of the components are curtailed in order to keep the course short and precise, ensuring maximum retention of the knowledge and information gained. The course will make your trainees skilled enough to develop parallel jobs which require relational as well as sequential data access. The data will then be merged and transformed with the use of various functions and a range of other components of the job.
The Preexisting Knowledge of the Trainees
There is no argument that the training is not suitable for all of the employees in your organization. You need to analyze and evaluate the preexisting knowledge of your trainees in order to finalize your decision of choosing the team that can benefit from it. To begin with, your chosen trainees should be familiar with the Windows operating system. An above-average level of knowledge regarding the platform will help a great deal in grasping the concepts of the training.
Secondly, the reason this training is more suitable for ETL developers or project administrators only is that the trainees must have basic knowledge of the database access techniques. Without such know-how, it will be significantly difficult for them to catch up with the rest of the team that has been registered for the training. To categorize it further, this training is suitable for freshly graduated interns at your organization, or the professionals belonging to the sales or marketing division. Moreover, employees who are looking to kick-start their careers in data modeling will also be suitable for the course, because their interest will be the driving force behind their success. Lastly, while it may not be compulsory, being familiar with Oracle PL/SQL will definitely give a trainee an edge over the others.
Objectives of the Course
- Elaborate on the core architecture of DataStage and the fundamental concepts involved.
- A step-by-step guide for the purpose of designing the jobs with minimal warnings or errors.
- Make use of different stages to establish business requirements with the help of DataStage.
- Identifying the suitable stage for designing an impeccable job.
- Analyzing the features of various stages for the purpose of choosing them in a manner that enables implementation of a business requirement with maximum accuracy and overall output, while keeping the stage usage minimal.
Final Outcome
Once the trainees in your organization have gone through the learning process, they will be familiar with the applications of DataStage as well as the workflow. They will be able to grab the key concepts about information server architecture and the role that DataStage plays in it. They will further be able to analyze the various deployment options in terms of DataStage for the information server. With the simultaneous use of the DataStage administrator client and the web console for the information server, the trainees will not only be able to create users for DataStage but also configure its environment.
Additionally, a key component of the course is to teach the learners how they can import/export objects. The training makes it convenient for them to design DataStage parallel jobs and eventually compile them, run them, and perform thorough monitoring. They will be skilled enough to create jobs that can make use of the sequential files for the purpose of reading or writing. The architecture for parallel processing in DataStage is explained in detail. Upon completion of the training, the learners are capable of utilizing the joins and lookups for the purpose of creating jobs that can merge the given data. Such jobs are also useful in sorting the data and then aggregating it. An imperative objective of the training is to familiarize the trainees with the transformer stage that can help with complex business logic in terms of its smooth and efficient implementation. Finally, training in the PX debugger will enable the trainees to conveniently debug the previously created jobs in DataStage.
Keeping in mind all of the information mentioned above, it is only fair to conclude that DataStage training has a wide range of benefits for your organization that you will be able to reap in the long run. While implementing the course may take a significant chunk of your time, effort, and even money, the impact that it will have on the overall productivity of your business certainly makes it worth the effort. While designing the course, however, it is to be ensured that the training is kept short, precise, and engaging in order to maintain the trainees’ motivation and their capacity to retain the knowledge that has been shared.
So, what are you waiting for? Opt for DataStage training today and see the benefits for yourself. Rest assured, it is not a decision you will regret in the years to come.
