MongoDB is the leading and most preferred database management system in the noSQL environment.
Continual research is being done to harness the power of the integration of Hadoop and MongoDB in order to create more efficient applications.
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NoSQL and its importance in modern day computing
RDBMS and its advantages
NoSQL database and its various types
Contrasts between noSQL and SQL
Acid and Base property
Implementation of noSQL and CAP Theory
Introduction to MongoDB
MongoDB server designing, database designing and tools to be used.
Collection, Keys, Values and Documents in MongoDB
Overview of JSON and BSON documents and their uses in MongoDB
Various methods of installing MongoDB based on the operating system i.e. Windows, MacOS and Linux.
Setting up the MongoDB environment
MongoDB package and the use of various tools available in the package Introductory Project
MongoDB Development and Production Architecture
Introduction to CRUD in MongoDB
Concepts of CRUD and various concerns in CRUD including read and write operations
Concepts of Concern Levels and Journalling
MongoDB Cursor, Optimisation of queries and behaviour of queries
Distributed Read & Write Queries
Datatypes in MongoDB and Syntax and Queries of CRUD in MongoDB platform
Data Modelling Introduction- Concepts and Types
Need of MongoDB for data modelling
Approaches to data modelling
RDBMS and amp - The Similarities
Data Model in MongoDb
Embedding and amp in MongoDB data model
Linking challenges in MongoDB for data modelling
Examples for Data Modelling and observed patterns.
Model Relationships between Documents in MongoDB environment:
Model One-to-One Relationships with Embedded Documents
Model One-to-Many Relationships with Embedded Documents
Model One-to-Many Relationships with Document References
Tree Structures in MongoDB:
Tree Structures built with array of ancestors
Materialised path tree structures
Nested Sets Tree Structures
Applications of models based on the context
Model data to carry out atomic operations
Model Data to complement search of keyword using MongoDB
References to Data Model and Data Modelling use cases.
Concept of Administration in MongoDB environment
Checking the health of the MongoDB database
Issues faced with the Database and various ways to monitor them in MongoDB
Monitoring of issues at lower levels like Server, Database and collection level in MongoDB
Tools used to monitor issues in MongoDB database.
Profiling of database, database locks, usage of memory , connections and page faults in database handling
Various MongoDB methods for backup and recovery
MongoDB import and export of data
MongoDB run time configuration
Optimal practices in data management in MongoDB
Administration tasks using MongoDB in real time.
MongoDB replication- An Introduction
Setting up a replication clustering MongoDB
MongoDB sharding- An Introduction
Key concepts of sharding like configuration sever, query router, keys etc.
Setting up of sharding, various types and their management using MongoDB.
Introduction to Index
Concepts and types of index and their properties in MongoDB
Creating an index using MongoDB
Tutorial to Index using MongoDB
Indexing Reference using MongoDB
Introduction to Aggregation, various types and approaches to the concept. e.g. pipelining, single purpose etc. using basics of MongoDB
Tuning performance using MongoDB
Package Components in MongoDB
MongoDB Configuration File Options
Limits and Threshold Values in MongoDB
MongoDB API and Drivers, Concept of MongoDB monitoring service
Rest interface and HTTP in MongoDB
Hadoop integration with MongoDB.
MongoDB based data migration with Hadoop.
Introduction to security in MongoDB
Concepts of security and corresponding tutorials using MongoDB.
MongoDB integration with Jaspersoft
MongoDB integration with Pentaho
MongoDB integration with Hadoop /Hive
MongoDB integration with Java
MongoDB integration with GUI Tool Robomongo
Final project using concepts o MongoDB and Java.
Database Administrator, Systems Engineer, Data Architect, Application Developer
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