Next Generation Technologies (Elective - II) (Syllabus) [2018-2019]

Next Generation Technologies (Elective - II) (Syllabus) [2018-2019]

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Course: Next Generation Technologies

Unit – I

Big Data:

• Getting Started
• Big Data
• Facts About Big Data
• Big Data Sources
• Three Vs Of Big Data
• Volume
• Variety
• Velocity
• Usage Of Big Data
• Visibility
• Discover And Analyze Information
• Segmentation And Customizations
• Aiding Decision Making
• Innovation
• Big Data Challenges
• Policies And Procedures
• Access To Data
• Technology And Techniques
• Legacy Systems And Big Data
• Structure Of Big Data
• Data Storage
• Data Processing
• Big Data Technologies

NoSQL:

• SQL
• NoSQL
• Definition
• A Brief History Of NoSQL
• ACID Vs. BASE
• CAP Theorem (Brewer's Theorem)
• The BASE
• NoSQL Advantages And Disadvantages
• Advantages Of NoSQL
• Disadvantages Of NoSQL
• SQL Vs. NoSQL Databases
• Categories Of NoSQL Databases

Introducing MongoDB:

• History
• MongoDB Design Philosophy
• Speed
• Scalability And Agility
• Non-Relational Approach
• JSON-Based Document Store
• Performance Vs. Features
• Running The Database Anywhere
• SQL Comparison

Unit – II
The MongoDB Data Model:

• The Data Model
• JSON And BSON
• The Identifier (_id)
• Capped Collection
• Polymorphic Schemas
• Object-Oriented Programming
• Schema Evolution

Using MongoDB Shell:

• Basic Querying
• Create And Insert
• Explicitly Creating Collections
• Inserting Documents Using Loop
• Inserting By Explicitly Specifying _id
• Update
• Delete
• Read
• Using Indexes
• Stepping Beyond the Basics
• Using Conditional Operators
• Regular Expressions
• MapReduce
• Aggregate()
• Designing An Application's Data Model
• Relational Data Modeling And Normalization
• MongoDB Document Data Model Approach

MongoDB Architecture:

• Core Processes
• Mongod
• Mongo
• Mongos
• MongoDB Tools
• Standalone Deployment
• Replication
• Master/Slave Replication
• Replica Set
• Implementing Advanced Clustering With Replica Sets
• Sharding
• Sharding Components
• Data Distribution Process
• Data Balancing Process
• Operations
• Implementing Sharding
• Controlling Collection Distribution (Tag-Based Sharding)
• Points To Remember When Importing Data In A ShardedEnvironment
• Monitoring For Sharding
• Monitoring The Config Servers
• Production Cluster Architecture
• Scenario 1
• Scenario 2
• Scenario 3
• Scenario 4

Unit – III
MongoDB Storage Engine:

• Data Storage Engine
• Data File (Relevant for MMAPv1)
• Namespace (.ns File)
• Data File (Relevant For WiredTiger)
• Reads And Writes
• How Data Is Written Using Journaling
• GridFS – The MongoDB File System
• The Rationale Of GridFS
• GridFSunder The Hood
• Using GridFS
• Indexing
• Types Of Indexes
• Behaviors And Limitations

MongoDB Use Cases:

• Use Case 1 – Performance Monitoring
• Schema Design
• Operations
• Sharding
• Managing The Data
• Use Case 2 – Social Networking
• Schema Design
• Operations
• Sharding

MongoDB Limitations:

• MongoDB Space Is Too Large (Applicable For MMAPv1)
• Memory Issues (Applicable For Storage Engine MMAPv1)
• 32-Bit Vs. 64-bit
• BSON Documents
• Namespaces Limits
• Indexes Limit
• Capped Collections Limit – Maximum Number Of Documents In A Capped Collection
• Sharding Limitations
• Shard Early to Avoid Any Issues
• Shard Key Can't Be Updated
• Shard Collection Limit
• Select the Correct Shard Key
• Security Limitations
• No Authentication by Default
• Traffic To And From MongoDB Isn't Encrypted
• Write And Read Limitations
• Case-Sensitive Queries
• Type-Sensitive Fields
• No JOIN
• Transactions
• MongoDB Not Applicable Range

MongoDB Best Practices:

• Deployment
• Hardware Suggestions From The MongoDB Site
• Few Points To Be Noted
• Coding
• Application Response Time Optimization
• Data Safety
• Administration
• Replication Lag
• Sharding
• Monitoring

Unit – IV
The End of Disk? SSD And In-Memory Databases:

• The End of Disk?
• Solid State Disk
• The Economics of Disk
• SSD-Enabled Databases
• In-Memory Databases
• TimesTen
• Redis
• SAP HANA
• VoltDB
• Oracle 12c "in-Memory Database
• Berkeley Analytics Data Stack And Spark
• Spark Architecture

jQuery:

• Introduction
• Traversing The DOM
• DOM Manipulation With jQuery
• Events
• Ajax With jQuery
• jQuery Plug-ins
• jQuery Image Slider

Unit – V
JSON:

• Introduction
• JSON Grammar
• JSON Values
• JSON Tokens
• Syntax
• JSON vs XML
• Data Types
• Objects
• Arrays
• Creating JSON
• JSON Object
• Parsing JSON
• Persisting JSON
• Data Interchange
• JSON PHP
• JSON HTML
• JSONP