Mongo

Duration : 35 Hours
Chapter 1: BigData & NoSQL Overview
  •  What is BigData?
  • What is NoSQL?
  • CAP Theorem
  •  Understanding data consistency
Chapter 2: Introduction to MongoDB
  • What is MongoDB?
  •  When / why should you use MongoDB?
  • JSON primer
  • MongoDB Architecture
  • Installation and Basic Administration
  • Installing MongoDB
  • Starting and stopping MongoDB servers
Chapter 3: MongoDB Basics
  • Document
  • CRUD
  •  Servers
  • The JavaScript console
  • MongoDB Commands
  •  Databases
  • Collections
  • Clients and drivers
  • Creating a Database, Collection and Documents
  • Simple Querying
Chapter 4: MongoDB Document Structure
  • Datatypes
  • References
  •  ID
  • Keys
  • Embedded sub-documents
  • Tree structures
  • Tailable Cursor
  • Auto-incremeting Sequence field
Chapter 5: Building MongoDB Applications
  • Setting up MongoDB and Java
  • Setting up Eclipse to work with MongoDB
  • Working with Databases and Collections
  •  Creating documents
  • Performing queries
Chapter 6: MongoDB Indexes
  •  Default _id
  •  Single Field
  • Compound Index
  •  Multikey Index
  • Geospatial Index
  • Hashed Index
  • Unieque
  • Sparse
Chapter 7: MongoDB Replication
  •  Master / slave
  • Working with Replica Sets
  • What is the simplest setup to get started
  • Working with Journaling
  •  Understanding data safety versus throughput tradeoffs
  • Autosharding: who should use it and tradeoffs
  • Massively scaling MongoDB
  • Know your application and don't kill a flea with a sledge hammer
Chapter 8: Advanced querying
  • Projections
  • Conditional operators
  • Limit and skip
  • Aggregation and grouping
  • Map / reduce
Chapter 9: Performance and scaling
  • Sharding
  • Profiler
  • Best-practices
  • MongoDB Casestudies
 

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