Change management
In this tutorial we will learn and understand about Change management.
However, moving from a traditional on-prem data warehouse platform to a cloud data warehouse is about more than just adopting new technology. It also provides an opportunity to revisit existing practices and adopt new ways of working.
Data consumer
Data analysts and data scientists have a lot to gain from migrating to a cloud data warehouse. As they have easier availability of new datasets, new algorithms to play with, and lower-latency access options in the cloud. Most often, during the migration, existing reporting applications and BI tools are initially kept as is to ensure minimal business disruption. Thus, making it relatively easy for data consumers to adopt the changes. Data consumers, however, will likely want to ensure that their existing reports and use cases are tested on the new platform. Therefore, advisable to require their participation in any data validation efforts.
Data enabler
The technical abilities of the data enabler are vital to how successfully cloud is adopted into the organization. These individuals own the data pipelines and are deeply involved in any reengineering efforts for migrating workloads to the cloud. The learning curve can be steep depending on the technology stack that’s adopted; proper resource planning will be crucial for these data enablers. However, for migration to the cloud, it is worth considering taking the time to plan, re-tool, and automate the migration.
Further, data enablers are refactoring and redesigning data pipelines and working together with data consumers. As they have plenty of opportunities to rethink how business processes should change to take advantage of real-time data ingestion. And also, new data modeling techniques, or new persistent stores that cloud technologies offer. Data enablers might also revisit old asks that were not possible to deliver due to scale, data format complexity, or ETL complexity. Cloud technologies can be better suited to overcoming such challenges through capabilities such as storage and compute resource elasticity, support for numerous data format and storage options, as well as a wide variety of tools and libraries to process data.
Data administrator
Database administrators continue to play a vital role even if the enterprise data warehouse is hosted in the cloud. As owners of the platform, administrators must get acquainted with cloud technology capabilities at the earliest and drive the enterprise transformation with key stakeholders. However, as database administrators move data workloads into the cloud. Further, there continue to be important focus areas that include governance overview during and post migration, data integrity, and SLAs such as RPOs and RTOs.
However, Database administrators are also freed up to gain a deeper understanding of the storage, network, and compute options. Administrators can adopt new ways of working with machine learning notebook environments, new query tools, containerization, hybrid cloud, and more.
Reference: Google Documentation