Managing Unstructured Data: NoSQL Database Essentials
Managing Unstructured Data: NoSQL Database Essentials

Author: Anooja Ali

Publisher: MileStone Research Publications

Published: 2024-09-12

Total Pages: 219

ISBN-13: 9334113383

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Managing Unstructured Data: NoSQL Database Essentials-is a reference book and guide for teaching and reading skills to college faculty and students. In Chapter1 the fundamentals of database and relational data base are discussed. This chapter helps students to understand data management concepts by data modelling, schema design, data storage and retrieval. This chapter includes the foundational skills that are applicable across various industries and provides a stepping stone for further specialization and career development. The chapter 2 is all about unstructured data. Varying methods for managing, analysing, and storing data are needed for varying levels of organization and complexity, which are represented by structured, unstructured, and semi-structured data. This chapter provides a platform for students to understand the transition from structured to unstructured data in terms of data management and analysis and it is a pivotal aspect of modern data management. In chapter 3 concepts of NoSQL data base and the major differences with SQL & Relational data bases are highlighted. This chapter explains the adoptions of NoSQL with flexible schema, scalability, high performance and support for distributed architecture. Chapter 4 is all about NoSQL databases, or "Not Only SQL" databases which represent a diverse set of database technologies designed to address specific challenges not well served by traditional relational databases. A brief overview of the main types of NoSQL databases are discussed here. The four basic data models such as key-value pairs, document-oriented, columnar, and graph-based structures are represented in this chapter. Information on popular NoSQL database technologies is given in chapter 5. Details of technologies like Apache HBase, Apache CouchDB, Neo4j, Apache Cassandra and their comparison are also provided here. It includes the distributed architecture with fault tolerance, high availability, and disaster recovery capabilities for ensuring data integrity and business continuity. Chapter 6 discusses the overview of Mongo DB which is a document-oriented NoSQL database known for its flexibility, scalability, and ease of use. The features of Mongo DB including document store, MongoDB protocol, horizontal scalability, cross platform compatibility, replication and sharding are also covered here. Chapter 7 deals with Concurrency control in databases. It discusses about the methods to obtain concurrency in structured data, and then in unstructured data, challenges in concurrency control for unstructured data, commits in transaction and the different isolation levels. Chapter 8 discusses on how unstructured data are used in big data processing. It includes Query processing performance evaluation in big data systems, the types od dirty data. Data cleansing is explained in detail with the steps in cleansing, exploratory data analysis, and data visualization. Hope this book on Managing Unstructured Data: NoSQL Database Essentials will provide a handy and useful reference book for teachers and students on Unstructured Database.

Microsoft Certified Azure Fundamentals Study Guide
Microsoft Certified Azure Fundamentals Study Guide

Author: James Boyce

Publisher: John Wiley & Sons

Published: 2021-04-13

Total Pages: 256

ISBN-13: 1119768209

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Quickly preps technical and non-technical readers to pass the Microsoft AZ-900 certification exam Microsoft Certified Azure Fundamentals Study Guide: Exam AZ-900 is your complete resource for preparing for the AZ-900 exam. Microsoft Azure is a major component of Microsoft’s cloud computing model, enabling organizations to host their applications and related services in Microsoft’s data centers, eliminating the need for those organizations to purchase and manage their own computer hardware. In addition, serverless computing enables organizations to quickly and easily deploy data services without the need for servers, operating systems, and supporting systems. This book is targeted at anyone who is seeking AZ-900 certification or simply wants to understand the fundamentals of Microsoft Azure. Whatever your role in business or education, you will benefit from an understanding of Microsoft Azure fundamentals. Readers will also get one year of FREE access to Sybex’s superior online interactive learning environment and test bank, including hundreds of questions, a practice exam, electronic flashcards, and a glossary of key terms. This book will help you master the following topics covered in the AZ-900 certification exam: Cloud concepts Cloud types (Public, Private, Hybrid) Azure service types (IaaS, SaaS, PaaS) Core Azure services Security, compliance, privacy, and trust Azure pricing levels Legacy and modern lifecycles Growth in the cloud market continues to be very strong, and Microsoft is poised to see rapid and sustained growth in its cloud share. Written by a long-time Microsoft insider who helps customers move their workloads to and manage them in Azure on a daily basis, this book will help you break into the growing Azure space to take advantage of cloud technologies.

Advanced Data Management
Advanced Data Management

Author: Lena Wiese

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2015-10-29

Total Pages: 374

ISBN-13: 3110441411

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Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.

Software Engineering Interview Essentials
Software Engineering Interview Essentials

Author: Aditya Pratap Bhuyan

Publisher: Aditya Pratap Bhuyan

Published: 2024-07-18

Total Pages: 561

ISBN-13:

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Dive into the world of software engineering and project management with this comprehensive guide designed to help you excel in technical interviews. Authored by Aditya, a seasoned Java, J2EE, and Cloud native architect with over two decades of industry experience, this book is a treasure trove of insights, questions, and detailed answers across key domains. Spanning 530 questions categorized into six essential sections—Project Management, Software Analysis and Design, Software Development Life Cycle (SDLC), Software Engineering, Agile Scrum, and Software Release and Configuration Management—each section offers a deep dive into critical concepts and methodologies. Whether you're a seasoned professional looking to brush up on your skills or a job seeker preparing for interviews, this book equips you with the knowledge and confidence needed to tackle even the most challenging technical interviews. From agile methodologies to cloud-native solutions, and from project planning to deployment strategies, every question is meticulously crafted to enhance your understanding and problem-solving abilities. With practical examples, real-world scenarios, and expert advice, "Mastering Software Engineering Interviews" bridges the gap between theory and practice. It not only prepares you for technical screenings but also enriches your understanding of industry best practices and emerging trends. Ideal for software engineers, project managers, and IT professionals at all career stages, this book serves as an invaluable resource to navigate the complexities of modern software development. Gain insights, refine your skills, and elevate your career with this definitive guide to mastering software engineering interviews.

Hadoop Essentials
Hadoop Essentials

Author: Shiva Achari

Publisher: Packt Publishing Ltd

Published: 2015-04-29

Total Pages: 194

ISBN-13: 1784390461

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If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. This book is also meant for Hadoop professionals who want to find solutions to the different challenges they come across in their Hadoop projects.

Principles of Database Management System
Principles of Database Management System

Author: Prof. Sachin A. Murab

Publisher: Book Bazooka Publication

Published: 2019-03-03

Total Pages: 203

ISBN-13: 9386895552

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Purpose of Database Systems To see why database management systems are necessary, let's look at a typical ``file-processing system'' supported by a conventional operating system

SQL and NoSQL
SQL and NoSQL

Author: Robert Johnson

Publisher: HiTeX Press

Published: 2024-10-26

Total Pages: 202

ISBN-13:

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"SQL and NoSQL: Building Hybrid Data Solutions for Modern Applications" offers a comprehensive exploration into the evolving world of data storage, providing readers with essential knowledge to navigate the complexities of modern database technologies. This book meticulously unravels the intricacies of both SQL and NoSQL systems, highlighting their individual capabilities while emphasizing the transformative potential of hybrid architectures. It serves as a crucial resource for students, IT professionals, and decision-makers seeking to understand the balance and synergy between structured and unstructured data management. Through detailed chapters, the book examines core principles, design patterns, and practical implementations, guiding readers through real-world case studies from diverse sectors such as e-commerce, healthcare, and financial services. Alongside foundational knowledge, the text delves into advanced topics and emerging trends, such as machine learning integrations and blockchain technologies, equipping readers with insights to anticipate and leverage future developments in data storage. With a focus on security, scalability, and performance, this book empowers readers to create robust, flexible, and efficient data solutions tailored to the dynamic needs of today's digital age.

HBase Essentials
HBase Essentials

Author: Nishant Garg

Publisher: Packt Publishing Ltd

Published: 2014-11-14

Total Pages: 254

ISBN-13: 1783987251

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This book is intended for developers and Big Data engineers who want to know all about HBase at a hands-on level. For in-depth understanding, it would be helpful to have a bit of familiarity with HDFS and MapReduce programming concepts with no prior experience with HBase or similar technologies. This book is also for Big Data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic, scalable database solution in the Big Data space.

Basics of Python Programming
Basics of Python Programming

Author: Dr. Pratiyush Guleria

Publisher: BPB Publications

Published: 2024-04-19

Total Pages: 329

ISBN-13: 9355516401

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Mastering the Python fundamentals with practical examples KEY FEATURES ● The book takes a beginner-friendly approach with practical examples, multiple choice questions, and solved exercises to help readers understand Python better. ● The book maintains clear explanations with concise chapters, making it suitable for those new to programming. ● This edition also covers NumPy for array manipulations and complex problem-solving. It teaches how to use Tkinter to create user-friendly applications with interactive interfaces. DESCRIPTION The basics of Python are the book's main focus. With practical examples, students will understand the fundamentals of Python. This book is designed in a way that should make every example understandable to the readers. In addition, from the perspective of a competitive examination, the book offers multiple-choice questions, true/false questions, and practical solved exercises. Through this book, the readers will be able to learn Python basics. This includes setting up your environment and manipulating data. Additionally, they will also learn how to master control flow with conditional statements and loops for more responsive programs and utilize functions for organizing code and file handling to work with local data. Learners will also explore object-oriented programming (OOP) and essential libraries like NumPy for advanced programming. This edition brings a new horizon of NumPy and Tkinter for numerical computing tasks like array manipulations, tackling complex problems, and building user-friendly applications with interactive graphical interfaces, respectively. From every chapter, the reader will learn the programming fundamentals and will be able to execute the programs on their own. WHAT YOU WILL LEARN ● Install and run Python programs, understand variables, user input, and operators. ● Organize code and improve reusability by defining and using functions. ● Store and manage data efficiently using lists, tuples, and dictionaries. ● Organize data effectively using iterators and generators for memory optimization. ● Gracefully handle errors and exceptions to improve program robustness. WHO THIS BOOK IS FOR This book is intended for students who are new to the study of Python. Additionally, it benefits those enrolled in diploma-level studies or pursuing undergraduate studies or a master's degree at state universities or colleges. TABLE OF CONTENTS 1. Introduction to Python Variables, Datatypes and Operators 2. Conditions and Loops 3. Arrays and Functions 4. Lists, Tuples, Iterators Generators, and Sets 5. Dictionaries and Modules 6. File Handling and Databases 7. Object-Oriented Programming 8. Regular Expressions, Date and Time 9. Exception Handling 10. NumPy and Tkinter Appendix: Practice Exercises with Solutions