Raj Pethuru(Editor) - A deep dive into NoSQL databases the use cases and applications

1. Table in Chapter Three
2. Table in Chapter Four
3. Table in Chapter Five
4. Tables in Chapter Six
5. Tables in Chapter Eight
6. Tables in Chapter Nine

1. Figure in Chapter One
2. Figures in Chapter Two
3. Figures in Chapter Three
4. Figures in Chapter Four
5. Figures in Chapter Five
6. Figures in Chapter Six
7. Figures in Chapter Eight
8. Figures in Chapter Nine

Pethuru Raj, Ph.D ; Ganesh C. Deka

In the IoT-driven Bigdata world, the traditional SQL database is incapable of accommodating multistructured data. As the data size becomes massive, the common interactive processing of data becomes difficult. Hence the concept of NoSQL databases is drawing a huge support from both practitioners and academicians these days. NoSQL databases are capable of tackling massive volumes of polystructured data. These specially crafted databases aka NoSQL databases are intrinsically designed to meet the huge data storage, processing, and analysis requirements of Bigdata. This edited book titled A Deep Dive Into NoSQL Databases: The Use Cases and Applications is a collection of highly curated chapters on diverse topics in NoSQL databases, contributed by accomplished academicians, researchers, and database professionals from IT companies.

The introductory chapter of the book titled A Detailed Analysis of NoSQL and NewSQL Databases for Bigdata Analytics and Distributed Computing is primarily prepared to tell all about the various NoSQL and NewSQL databases and how they come handy in augmenting, accelerating, and automating the highly complicated phenomenon of next-generation data analytics.

titled NewSQL Databases and Scalable In-Memory Analytics deliberates upon the prospects of in-memory NewSQL databases in Bigdata analytics.

Indexing of a huge number of webpages requires a cluster with several petabytes of disk space. Since the NoSQL databases are highly scalable, use of NoSQL database for storing the web crawler data is increasing along with the surging popularity of NoSQL databases. titled NoSQL Web Crawler Application discusses about the prospects and application of NoSQL databases in web crawler application to store and analyze data collected by the web crawler.

titled NoSQL Security discusses the various security threats of NoSQL databases, security architecture of NoSQL databases, and the steps that can be taken to secure the NoSQL database.

Amazon, Facebook, Google, and other reputed IT corporate houses use the world wide web as a large distributed data repository. This large data repository on the web cannot be processed with traditional RDBMS systems. titled Comparative Study of Different In-Memory (No/New) SQL Databases discusses about the application of in-memory databases with advanced data processing techniques for distributed data repository.

titled NoSQL Hands On explains how to Download , Install , and Use some of the mostly used open source NoSQL database.

Trillions of digitized objects and connected devices and millions of Polyglot-persistent software services are interacting with one another locally as well as over variety of networks . Apache Hadoop Ecosystem technologies and tools are the best way forward to squeeze out the relevant knowledge from these interconnected devices and software services. titled The Hadoop Ecosystem Technologies and Tools details about the emerging technologies and platforms under the Apache Hadoop Ecosystem .

titled Biological Big Data Analytics presents various Bigdata analytics tools for bioinformatics systems and some use cases of healthcare information system (HIS).

titled NoSQL Polyglot Persistence is about the application of Polyglot persistence in e-Commerce and Healthcare. This chapter also discusses the prospects of NoSQL database on Polyglot persistent software development and the research trends in NoSQL Polyglot persistent.

The salient feature of the book also includes lots of references for advance reading for researchers, use cases for practitioners, and hands-on for students and practitioners. In a nutshell, this book is stuffed with a number of elegantly written chapters describing the ways and means of surmounting the above-mentioned challenges. This book will be useful for researchers , PG as well as UG students of Computer Science, and practitioner s.