Cloud Data Management
summary
Cloud data management centers on data integration and holistic governance, not just moving servers. Claims: scale-out compute (example: Snowflake scale-out nodes on demand), automatic patching and backups, and fast provisioning via copy data virtualization. Risks include runaway costs — an anecdotal $5 million bill month one — plus migrations as a prerequisite, organizational politics and the “airplane effect.” Practical guidance: staff a cross-functional team (DBA, ETL, finance, users), enforce a project plan, maintain clean data, full-size QA footprints, regular backups and strict governance.
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chapters (24)
- 0:00Introduction
- 1:50About Me
- 3:33Contact Information
- 10:12Cloud Benefits
- 12:23Scalability Savings
- 14:49Governed Access
- 15:32Automated Backups
- 16:47Improve Data Quality
- 18:10Automated Updates
- 19:56Challenges
- 21:33Who Built the Cat
- 23:12Cloud Data Management Challenges
- 26:15Migration to Cloud
- 27:05Are you ready
- 28:02Politics of organization
- 29:23Cloud Data
- 33:18Hiring and Training
- 36:07Best Practices
- 37:30Maintain Clean Data
- 39:19Backup Data
- 41:56Data Governance
- 43:32Future Projections
- 44:51QA
- 45:53Contact Info
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