000			02783nam a22002057a 4500
999			_c4997 _d4997
005			20230321183829.0
008			230321b ||||| |||| 00| 0 eng d
020			_a9788126579969
082			_a005.75 _bACH
100			_aAcharya, Seema _91194
245			_aDemystifying NoSQL
260			_bWiley India Pvt. Ltd. _aNew Delhi _c2020
300			_axviii, 259 p.
365			_aINR _b479.00
504			_aTable 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
520			_aNoSQL 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.
650			_aNon-relational databases _912405
650			_aSQL (Computer program language) _97826
942			_2ddc _cBK