1. (Part 2) Josh Wells

2. Topics  Quick Review  Aggregation  Sharding  MongoDB Users

3. Relational Database Problems  Overhead  Unstructured data not well-supported  Not very scalable

4. NoSQL Document Model

5. Aggregation  Process Data  Aggregation Pipeline  JS array of operations

6. MapReduce  Custom functions  Sorting  Similar to aggregation

7. Scalability Problems  Relational databases are hard to scale up  Vertical Scaling

8. Sharding  Horizontal scaling  Good for fast data growth  Can increase performance  Better data redundancy

9. Shard Clusters

10. Replica Sets  Redundancy  Span across shards  Performance boost  Automatic primary

11. Data Balancing

12. MongoDB Users  Ebay  Google  Craigslist  Adobe  Facebook  Expedia  EA  MetLife

13. And Last But Not Least