1. NO SQL for SQL DBA
Dilip Nayak & Dan Hess

2. Dilip Nayak Works as Senior DBA at a financial company
Event Coordinator of Sacramento SQL User Group.

3. Dan Hess Senior DBA with Corelogic
Bachelor of Science, Computer Science

4. My Story

5. How Big is BIGDATA?
Source:

6. SQL or NoSQL

7. Limitations of Traditional DBs
Scalability
Scaling up is very expensive
Schema bound
Schema is not flexible and fixed.
Same/similar type of data
Heterogeneous data storage is not possible or recommended.

8. Benefits of NoSQL Database
Schema less
Easier for developers
Horizontal scalability – lowers cost.
Heterogeneous data storage
High Availability/Disaster Recovery

9. SQL vs NoSQL SQL NoSQL Gigabytes to Terabytes
Petabytes(1kTB) to Exabytes(1kPB) to Zetabytes(1kEB)
Centralized
Distributed
Structured
Semi structured and Unstructured
Structured Query Language
No declarative query language
Stable Data Model
Schema less
Complex Relationships
Less complex relationships
ACID Property
Eventual Consistency
Transaction is priority
High Availability, High Scalability
Joins Tables
Embedded structures

10. RDBMS vs NoSQL RDBMS No SQL Structured & Organized data
Structured Query Language
Data and its relationships are stored in different tables.
ACID Property
Tight consistency
Prioritize Transaction is very important.
No SQL
No predefined Schema
No declarative query language.
Key-value pair, documents, graph databases
Eventual consistency.
Unstructured and unpredictable data.
Prioritize High Performance, High Availability and High scalability
CAP Theorem(Consistency, Availability, Performance)

11. CAP Theorem

12. Types of NoSQL Storage

13. Types of NoSQL Databases

14. Types of NoSQL Databases

15. NoSQL vs SQL

16. MongoDB One of the widely used NoSQL databases Document store database
JSON document for operations in DML
Data is stored in BSON format.
Available in Community, Enterprise Edition.

17. Data stored in documents

18. SQL to MongoDB Mapping Chart
Database
Table
Row
Column
Index
Table Joins
Primary Key
Database
Collection
Document
Field
Index
Embedded docs
Primary Key automatically set to _id field.

19. MongoDB architecture Copies of the data on each node Data safety
High availability
Disaster recovery
Maintenance
Read scaling

20. MongoDB architecture “Partitions” of the data Horizontal scale
Big data sets

21. MongoDB architecture
Replica set + sharding

22. DEMO

23. MongoDB explain plan 3 ways to generate explain plan
db.<collection>.explain
cursor.explain
explain()
3 outputs in explain plan
queryPlanner
executionStats
serverInfo

24. MongoDB index B+ tree Used to access data quickly
Used in sorting, order can matter

25. Disadvantages of NoSQL
No standardization
Limited query capability
Items are aggregated together like a big excel file
Prone to data duplication

26. No SQL = Not Only SQL

27. MongoDB GUIs MongoChef Mongo Compass
Mongo Compass
MongoBooster

28. Credits & References http://www.mongodb.com