Architecting Data and Machine Learning Platforms by Marco Tranquillin Valliappa Lakshmanan and Firat Tekiner

Author:Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2023-04-24T00:00:00+00:00

Figure 5-1. Four-step migration framework

One way that organizations can embrace the data modernization journey is to make it part of a cloud adoption project. Data modernization in such a situation can be achieved via a migration/ modernization of the legacy stack to the selected target cloud technology. To be effective in cloud migration, we recommend following a proven methodology that allows organizations to adhere to an organized, structured and measurable series of tasks. This approach is based on the four main steps shown in Figure 5-1:

Prepare and discover: all the stakeholders involved conduct a first analysis to identify the list of workloads that are available for the migration and collect the first feedback (e.g. inability to scale, process engine cannot be updated, dependencies with solution x,y,z, etc.)

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