Author : Dr. Poornima G. Naik Dr. Girish R. Naik
Publisher : Shashwat Publication
ISBN 13 : 9390290244
Total Pages : 326 pages
Book Rating : 4.3/5 (92 download)
Book Synopsis Big Data Tools – Which, When and How? (Volume– IV) by : Dr. Poornima G. Naik Dr. Girish R. Naik
Download or read book Big Data Tools – Which, When and How? (Volume– IV) written by Dr. Poornima G. Naik Dr. Girish R. Naik and published by Shashwat Publication. This book was released on 2023-12-04 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: MongoDB is an open source cross platform document-oriented NoSQL (Not Only SQL) database management system that provides high performance and availability and easy scalability. It is particularly employed for high volume of data storage. Two key features of MongoDB which have made it popular are auto sharding for horizontal scalability and in-built replication mechanism for high availability both of which are inevitable for big data analytics MongoDB came into existence to address the large data size and unstructuredness of data which could not be handled by the traditional database management systems. Volume IV of 'Big Data Tools - Which, When and How (Hands on Sessions with MongoDB Basics)’ is intended for learners who have just migrated from SQL systems to NoSQL systems and keen in exploring the differences between the two. The book covers the basics of MongoDB such as MongoDB architecture, installation of MongoDB, modeling relationship between the documents, and managing collections. The key features of the books are in-depth coverage of structural differences between RDBMS systems, installation of MongoDB on Windows and Ubuntu operating systems, exposure to MongoDB complex structures, cursors in MongodB. MongoDB has a rich set of database management tools. Few prominent tools are focused with in-depth discussion on two MongoDB GUI tools having wide acceptance in industry viz. MongoDB Compass and RockMongo. Difficult to comprehend topics such as GridFS for storing multimedia content in MongoDB database, custom auto-increment field, data validation and bulk API are illustrated with suitable examples. The salient feature of the book is mapping of SQL Statements to MongoDB statements which enables the reader coming from SQL background to comprehend the alterations to be made for querying JSON-based systems.