1. Jingren Zhou Microsoft Corp.

2. Mission Impossible?... ……… I can manage 16 machines

3. Database vs. MapReduce Different in design principles Scale: x100 vs. x1000 or more Hardware: high-end vs. commodity Fault-tolerance: hardware vs. software AutoAdmin: add-on vs. built-in Database: first knobs, then auto management MapReduce: auto recovery/tuning is part of the system

4. SCOPE / Cosmos A hybrid of parallel database and map-reduce system SCOPE [VLDB’08]: SQL-like declarative language Relational data model Database-like query optimization Cosmos Storage System Append-only distributed file system for storing petabytes of data Optimized for sequential I/O Data is compressed and replicated

5. Common Roles System configuration Resource management: setting quota on disk, CPU, network, etc. Security implementation General technical trouble shooting and consultation Patch system Plan growth and capacity …

6. Different Focus Database DBA Focus on database/application performance turning Database physical design and implementation System Recovery Backup implementation Cloud Administrator Main job: keep the system alive Monitor all kinds of events/alerts Ensure data availability/replication, etc. Progressive system deployment/upgrade