Demystifying NoSQL
Material type: TextPublication details: Wiley India Pvt. Ltd. New Delhi 2020Description: xviii, 259 pISBN:- 9788126579969
- 005.75 ACH
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 005.75 ACH (Browse shelf(Opens below)) | 1 | Available | 004857 |
Table of content
Preface
About the Author
Acknowledgements
Chapter 1 Getting Started with NoSQL
1.1 What has Changed in the Last Decade?
1.2 History of NoSQL
1.3 What is NoSQL?
1.4 Why NoSQL?
1.5 NoSQL Databases
1.6 Types of NoSQL Databases
1.7 SQL versus NoSQL
1.8 ACID versus BASE
1.9 CAP Theorem
Chapter 2 Types of NoSQL Databases
2.1 Introduction
2.2 Key−Value Pair Databases
2.3 Document Databases
2.4 Column-Family Databases
2.5 Graph Database
Chapter 3 Column-Family Store
3.1 Introduction to Apache Cassandra
3.2 Features of Cassandra
3.3 Cassandra Query Language Data Types
3.4 Cassandra Query Language Shell (Cqlsh)
3.5 Collections
3.6 Cassandra Counter Column
3.7 Time-to-Live (TTL)
3.8 Alter Commands
3.9 Import from and Export to CSV
3.10 Querying System Tables
Chapter 4 MongoDB
4.1 What is MongoDB?
4.2 Why MongoDB?
4.3 Terms used in RDBMS and MongoDB
4.4 CRUD Operations
Chapter 5 Neo4j: A Graph-Based Database
5.1 Introduction to Graph Database
5.2 Creating Nodes
5.3 Create a Relationship
5.4 WHERE Clause
5.5 Creating a Complete Path
5.6 Create Index
5.7 Create Constraints
5.8 Select Data with MATCH
5.9 Fetch All Nodes
5.10 Drop an Index
5.11 Drop a Constraint
5.12 Delete a Node
5.13 Delete Multiple Nodes
5.14 Delete All Nodes
5.15 Delete a Relationship
5.16 Merge Command
Chapter 6 NoSQL Database Orientation
6.1 RDBMS or NoSQL?
6.2 Key–Value Store
6.3 Column Family Store
6.4 Document Store
6.5 Graph Store
6.6 Examples of NoSQL Databases
Annexure A – Project 1 in MongoDB Database
Annexure B – Project 2 in MongoDB Database
Annexure C – Possible Interview Questions and Answers
Index
NoSQL databases are non-relational, open-source, distributed, schema-less, and cluster friendly databases. They are hugely popular today owing to their ability to scale out or scale horizontally and the adeptness at dealing with a rich variety of data: structured, semi-structured and unstructured data. They are malleable and flexible enough to accommodate sparse datasets, besides maintaining cost efficiency and availability.
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