The step by step process for automated migration of workloads from Netezza to the cloud environs


When an organization takes a decision to migrate manually, it is bound to face challenges. Some of the most notable challenges are faced in the testing, validation, and execution stages. We discuss here one of the best and the most popular approaches for Netezza migration.


We discuss the approach of workload migration in the following stages:

The assessment stage

In this stage, we conduct a thorough assessment of the existing data sets in the environs of the warehouse. We also survey the future business processes and prospects of the organization. After the goals have been defined, we try to relate and map all of these goals to the predefined service legal agreements. The next job in hand is to use the assessment engine which performs the task of processing the query logs. This eases the various types of analytics that we want to perform on our systems. Needless to say, this sketches the roadmap for the entire migration process.

To give a brief overview of this roadmap, the ideal migration candidates including the planning on a nouveau data platform is highlighted. Analytics related to the number of applications and the frequency of users are also outlined.

The pilot stage

In the pilot stage, we provide a summary of the budget estimates before migrating a sample of the workloads. In this stage, we are able to validate the migration data with the help of various techniques and assessment tests. The advantage of the pilot phase is that it allows you to automatically translate SQL scripts. Translation of other stored procedures to SQL is also possible. It needs to be noted at this point in time that we can access an inbuilt library of functions to bridge the necessary gaps in our system. The pilot phase also allows you to work out various testing and validation cycles which aids in the feedback mechanism. Last but not the least, the creation of migration workflows is also possible at this stage.

The implementation stage

In this stage, we carry out the process of migration in predefined phases. Optimised data modelling is performed at this stage so that migration is as smooth as possible. We can transfer our load to different types of hive tables and also keep an eye on our audit logs. If a client demands that he wants to migrate using the DLL files, we can do so easily with the help of various functionaries.

The monitoring stage

In the monitoring stage, we take care of those workloads which need to be updated from time to time. The data governance processes become a special focus in this stage. There are some of the workloads which need to be archived and the monitoring stage allows you to do that with utmost ease.

Concluding remarks

Migration to the cloud ecosystem can become as effective as possible with the help of Impetus migration solutions. With proven expertise in this field, this has been one of the most sought-after platforms in recent years.

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