Migrating data from private data centers to Google Cloud for Cymbal Retail
1. Migrating data from private data centers to Google Cloud for Cymbal Retail
Let’s begin by exploring the role of a Professional Data Engineer in migrating Cymbal Retail’s data from its private data centers to Google Cloud. Let’s look at the various challenges a Professional Data Engineer will face in accomplishing this task. Cymbal Retail’s existing private data centers are going to be decommissioned in the next two years. You need to help migrate existing data and data processing systems to Google Cloud. Similar migrations have to also be conducted in acquired companies with their own private data centers. As a Professional Data Engineer, your role involves ensuring that there is a uniform approach to managing and securing the data. Controlling access at a granular level based on employee role is critical to complying with regional laws and industry regulations. You need to understand and deploy options to control the security of data via encryption. Whether during migration or in the course of regular operations, certain data has to be captured and stored, but never revealed to other parts of the organization, for example, analysts. You need to employ tools to redact information, and you need be able to extend these tools as required to meet future requirements. You will be required to move data reliably from external sources into Google Cloud. Sometimes, the data movement might be done over many days. In other cases, data needs to be quickly moved as and when it arrives in other data sources for up to date analytics. As data is moved into Google Cloud, it will also need to be assessed for quality and cataloged for easy discoverability by consumers of the data. Cymbal Retail’s data is used simultaneously by different divisions to manage their business—finance, marketing, purchasing, sales, compliance, legal, store operations, and more. However, all of these groups do not need access to all the data. You should ensure fine-grained control on the data which is strictly on a need-to-know basis.2. Let's practice!
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