BSC IT - SEM 5 - NEW GENERATIONS TECHNOLOGIES

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Module 1.1 –Big Data 20 Topics

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1.1.k Discover and Analyze Information

1.1.t Big Data Technologies

1.1.s Data Processing

1.1.r Data Storage

1.1.q Structure of Big Data

1.1.p Legacy Systems and Big Data

1.1.o Technology and Techniques

1.1.n Access to Data

1.1.m Policies and Procedures

1.1.l Segmentation and customization

1.2.a Getting Started

1.1.j Visibility

1.1.i Usage of Big Data

1.1.h Velocity

1.1.g Variety

1.1.f Volume

1.1.e Three Vs of Big Data

1.1.d Big Data Source

1.1.c Facts About Big Data

1.1.b Big Data

Module 1.2 – NoSQL 11 Topics

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1.2.a SQL

1.2.b NoSQL

1.2.c Definition

1.2.d A Brief History of NoSQL

1.2.e ACID vs. BASE

1.2.f CAP Theorem (Brewer’s Theorem)

1.2.g The BASE

1.2.h NoSQL Advantages and Disadvantages

1.2.i Advantages of NoSQL

1.2.k SQL vs. NoSQL Databases

1.2.l Categories o NoSQL Databases

Module 1.3 – Introducing MongoDB 10 Topics

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1.3.a History

1.3.b MongoDB Design Philosophy

1.3.c Speed

1.3.d Scalability

1.3.e And Agility

1.3.f Non-Relational Approach

1.3.g JSON-Based Document Store

1.3.h Performance vs. Features

1.3.i Running the Database Anywhere

1.3.j SQL Comparison

Module 2.1 – The MongoDB Data Model 6 Topics

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2.1.a The Data Model

2.1.b JSON and BSON

2.1.c The Identifier (_id)

2.1.d Capped Collection

2.1.e Polymorphic Schemas

2.1.f Object-oriented Programming

Module 2.2 – Using MongoDB Shell 15 Topics

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2.2.a Basic Querying

2.2.b Create and Insert

2.2.c Explicitly Creating Collections

2.2.d Inserting Documents Using Loop

2.2.e Inserting by Explicitly Specifying _id

2.2.j Stepping Expressions

2.2.k MapReduce

2.2.l aggregate()

2.2.m Designing an Application’s Data Model

2.2.n Data Modeling and Normalization

2.2.o MongoDB Document Data Model approach

Module 2.3 – MongoDB Architecture 25 Topics

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2.3.m Data Distribution Process

2.3.u production Cluster Architecture

2.3.t Monitoring the Config Servers

2.3.s Monitoring for Sharding

2.3.r Points to Remember when Importing Data in a Sharded Environment

2.3.q Controlling Collection Distribution (Tag-Based Sharding)

2.3.p Implementing Sharding

2.3.o Operations

2.3.n Data Balancing Process

2.3.a Core Process

2.3.l Sharding Components

2.3.k Sharding

2.3.j Implementing Advanced Clustering with Replica Sets

2.3.i Replication set

2.3.h Master/Slave Replication

2.3.g Replication

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Module 3.1 – MongoDB Storage Engine 13 Topics

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3.1.a Data Storage Engine

3.1.b Data File (Relevant for MMAPv1)

3.1.c Namespace (.ns File)

3.1.d Data File (Relevant for Wiredtiger)

3.1.e Reads and Writes

3.1.f How Data is Written Using Journaling

3.1.g GridFS – The MongoDB File System

3.1.h The Rationale of GridFS

3.1.i GridFS under the Hood

3.1.j using GridFS

3.1.k Indexing

3.1.l Types of Indexes

3.1.k Behaviors and Limitations

Module 3.3 – MongoDB Limitations 20 Topics

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3.3.k Shard Collection Limit

3.3.t MongoDB Not Applicable Range

3.3.s Transactions

3.3.r No JOIN

3.3.q Case-Sensitive Fields

3.3.p Write and Read Limitations

3.3.o Traffic to and from MongoDB Isn’t Encrypted

3.3.n No Authentication by Default

3.3.m Security Limitations

3.3.l Select the Correct Shard key

3.3.a MongoDB Space Is Too Large (Applicable for MMAPv1)

3.3.j Shard key can’t be Updated

3.3.i Shar early to Avoid any Issues

3.3.h Sharding Limitation

3.3.g Capped Collections Limit – Maximum Number Of Documents In a Capped Collection

3.3.f Indexes Limit

3.3.e Namespaces Limits

3.3.d BSON Documents

3.3.c 32-bit vs. 64 bit

3.3.b Memory Issues (Applicable for storage Engine MMAPv1)

Module 3.2 – MongoDB Use Cases 8 Topics

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3.2.a Use Case 1 – Performing Monitoring

3.2.b Schema Design

3.2.c Operations

3.2.d Sharding

3.2.e Managing the Data

3.2.f Use Case 2 – Social Networking

3.2.g Schema Design

3.2.h Operations Sharding

Module 3.4 – MongoDB Best Practices 10 Topics

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3.4.a Deployment

3.4.b Hardware Suggestions from MongoDB Site

3.4.c Few Points to be Noted

3.4.d Coding

3.4.e Application Response time Optimization

3.4.f Data Safety

3.4.g Administration

3.4.h Replication Lag

3.4.i Sharding

3.4.j Monitoring

Module 4.1 – The End Of Disk? SSD And In-memory Databases 11 Topics

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4.1.a The End of Disk?

4.1.b Solid State Disk

4.1.c The Economics of Disk

4.1.d SSD-Enabled

4.1.e Databases

4.1.f In-Memory Databases

4.1.k Oracle 12c “in-Memory Database

Module 4.2 – jQuery 7 Topics

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4.2.a Introduction

4.2.b Traversing the DOM

4.2.c DOM Manipulation with jQuery

4.2.d Events

4.2.e Ajax with jQuery

4.2.f jQuery Plug-ins

4.2.g jQuery Image Slider

Module 5.1 – JSON 17 Topics

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5.1.n Data Interchange

5.1.m Persisting JSON