A Deep Dive Into Nosql Databases The Use Cases And Applications
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A Deep Dive Into Nosql Databases The Use Cases And Applications
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Author :
language : en
Publisher: Academic Press
Release Date : 2018-04-20
A Deep Dive Into Nosql Databases The Use Cases And Applications written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-20 with Computers categories.
A Deep Dive into NoSQL Databases: The Use Cases and Applications, Volume 109, the latest release in the Advances in Computers series first published in 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. In addition, it provides contributors with a medium in which they can explore their subjects in greater depth and breadth. This update includes sections on NoSQL and NewSQL databases for big data analytics and distributed computing, NewSQL databases and scalable in-memory analytics, NoSQL web crawler application, NoSQL Security, a Comparative Study of different In-Memory (No/New)SQL Databases, NoSQL Hands On-4 NoSQLs, the Hadoop Ecosystem, and more. - Provides a very comprehensive, yet compact, book on the popular domain of NoSQL databases for IT professionals, practitioners and professors - Articulates and accentuates big data analytics and how it gets simplified and streamlined by NoSQL database systems - Sets a stimulating foundation with all the relevant details for NoSQL database researchers, developers and administrators
Fluent Python
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Author : Luciano Ramalho
language : en
Publisher: O'Reilly Media
Release Date : 2015
Fluent Python written by Luciano Ramalho and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computers categories.
Explains how to write idiomatic, effective Python code by leveraging its best features. Python's simplicity quickly lets you become productive with it, but this often means you aren't using everything the language has to offer. By taking you through Python's key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time. --From publisher description.
Understanding Big Data Characteristics And Technologies
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Author : RENATA. SLOANE
language : en
Publisher: Independently Published
Release Date : 2025-05-20
Understanding Big Data Characteristics And Technologies written by RENATA. SLOANE and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
Understanding Big Data Characteristics and Technologies is an in-depth guide that explores the concept of Big Data and the technologies used to manage, process, and analyze large-scale datasets. As organizations generate vast amounts of data, traditional data management systems struggle to keep up. This book dives into the key characteristics of Big Data and introduces the most important technologies like Hadoop, Spark, and NoSQL databases that enable efficient handling of big datasets. Inside, you'll explore: The Concept of Big Data: Understand the 3 Vs (Volume, Velocity, and Variety) and how they define Big Data. Learn about the challenges organizations face with managing large-scale datasets and the opportunities Big Data presents for innovation and decision-making. Big Data Characteristics: Dive into the four primary characteristics of Big Data-Volume, Variety, Velocity, and Veracity-and learn how they influence data storage, processing, and analysis. Hadoop Ecosystem: Explore Apache Hadoop and its ecosystem of tools, including HDFS (Hadoop Distributed File System), MapReduce, YARN, and other components that enable scalable, distributed data processing. Apache Spark: Discover how Spark offers an in-memory processing alternative to MapReduce, enabling faster data processing. Learn about Spark's features, including data parallelism, fault tolerance, and its support for batch and stream processing. NoSQL Databases: Understand the different types of NoSQL databases-Document, Key-Value, Column-family, and Graph-and how they differ from traditional relational databases in terms of scalability, flexibility, and schema design. Data Processing Frameworks: Explore frameworks and tools for handling Big Data, including Apache Flink, Apache Kafka, and Apache Storm, which help with stream processing and data ingestion. Cloud Technologies for Big Data: Learn about cloud-based solutions for Big Data management, including platforms like AWS, Google Cloud, and Microsoft Azure, and how they integrate with technologies like Hadoop and Spark. Big Data Analytics: Understand the techniques used in Big Data analytics, including machine learning, predictive analytics, and real-time processing, and how these techniques can be applied to make data-driven decisions. Big Data Security and Privacy: Explore security concerns and strategies for safeguarding Big Data, including encryption, access control, and data governance. Why This Book Is Essential: Comprehensive Big Data Overview: Provides a thorough introduction to Big Data's characteristics and the technologies designed to address its challenges. In-Depth Technology Analysis: Offers detailed insights into popular technologies like Hadoop, Spark, and NoSQL, explaining their use cases and advantages. Real-World Applications: Includes case studies and examples showing how Big Data technologies are applied across various industries, from healthcare and finance to marketing and e-commerce. Hands-On Tools and Techniques: Teaches you practical techniques for implementing Big Data technologies and frameworks in real-world projects, making it an invaluable resource for both beginners and experienced professionals. Whether you're a data scientist, engineer, or business leader, Understanding Big Data Characteristics and Technologies will provide you with the knowledge to effectively harness the power of Big Data technologies and transform your approach to data analysis.
Nosql For Dummies
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Author : Adam Fowler
language : en
Publisher: John Wiley & Sons
Release Date : 2015-02-24
Nosql For Dummies written by Adam Fowler and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-24 with Computers categories.
Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in! Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.
Database Design And Modeling With Google Cloud
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Author : Abirami Sukumaran
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29
Database Design And Modeling With Google Cloud written by Abirami Sukumaran and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.
Build faster and efficient real-world applications on the cloud with a fitting database model that's perfect for your needs Key Features Familiarize yourself with business and technical considerations involved in modeling the right database Take your data to applications, analytics, and AI with real-world examples Learn how to code, build, and deploy end-to-end solutions with expert advice Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently. The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you’ll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You’ll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples. By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.What you will learn Understand different use cases and real-world applications of data in the cloud Work with document and indexed NoSQL databases Get to grips with modeling considerations for analytics, AI, and ML Use real-world examples to learn about ETL services Design structured, semi-structured, and unstructured data for your applications and analytics Improve observability, performance, security, scalability, latency SLAs, SLIs, and SLOs Who this book is for This book is for database developers, data engineers, and architects looking to design, model, and build database applications on the cloud with an extended focus on operational consideration and taking their data to AI. Data scientists, as well ML and AI engineers who want to use Google Cloud services in the data to AI journey will also find plenty of useful information in this book. It will also be useful to data analysts and BI developers who want to use SQL impactfully to generate ML and generative AI insights from their data.
Mastering Nosql
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Nosql written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the Potential of Flexible Data Storage In the dynamic landscape of modern data management, traditional relational databases often fall short in accommodating the diverse and ever-changing data needs. "Mastering NoSQL" is your comprehensive guide to understanding and harnessing the capabilities of NoSQL databases—a revolutionary approach to data storage that offers flexibility, scalability, and agility like never before. About the Book: The exponential growth of data, coupled with the rise of dynamic applications, has brought NoSQL databases to the forefront of data management. "Mastering NoSQL" provides a deep exploration of this paradigm, catering to both beginners and experienced professionals seeking to revolutionize the way they store, retrieve, and analyze data. Key Features: NoSQL Fundamentals: Begin your journey with an introduction to the foundational concepts of NoSQL. Understand the principles that set NoSQL apart from traditional relational databases. Diverse NoSQL Models: Delve into the various NoSQL database models, such as document stores, key-value stores, column-family stores, and graph databases. Learn the strengths and best use cases for each model. Scalability and Flexibility: Explore the scalability advantages offered by NoSQL databases. Understand how these databases accommodate the challenges of massive data growth and fluctuating workloads. Data Modeling: Grasp the unique data modeling approaches of NoSQL databases. Learn how to design schemas that adapt to evolving data requirements. Consistency and Availability: Understand the trade-offs between consistency and availability in NoSQL systems. Explore the CAP theorem and strategies for maintaining data integrity in distributed environments. Real-World Use Cases: Gain insights into how diverse industries leverage NoSQL databases to solve complex problems. From e-commerce to social networks, explore the applications that harness NoSQL's power. Migration Strategies: Discover techniques for migrating from traditional databases to NoSQL. Learn about data transformation, schema evolution, and ensuring a smooth transition. In a data-driven world, the need for flexible and scalable data storage solutions is paramount. "Mastering NoSQL" empowers database administrators, developers, and technology enthusiasts to unlock the potential of NoSQL databases, enabling them to build applications that thrive in the face of dynamic data demands. Embrace the Future of Data Storage: As the data landscape continues to evolve, NoSQL databases have emerged as a game-changing solution. "Mastering NoSQL" equips you with the knowledge needed to navigate this paradigm shift, allowing you to build resilient, adaptable, and scalable systems that thrive in the era of big data. Your journey to mastering the art of NoSQL begins here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Nosql For Mere Mortals
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Author : Dan Sullivan
language : en
Publisher: Addison-Wesley Professional
Release Date : 2015-04-06
Nosql For Mere Mortals written by Dan Sullivan and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-06 with Computers categories.
The Easy, Common-Sense Guide to Solving Real Problems with NoSQL The Mere Mortals® tutorials have earned worldwide praise as the clearest, simplest way to master essential database technologies. Now, there’s one for today’s exciting new NoSQL databases. NoSQL for Mere Mortals guides you through solving real problems with NoSQL and achieving unprecedented scalability, cost efficiency, flexibility, and availability. Drawing on 20+ years of cutting-edge database experience, Dan Sullivan explains the advantages, use cases, and terminology associated with all four main categories of NoSQL databases: key-value, document, column family, and graph databases. For each, he introduces pragmatic best practices for building high-value applications. Through step-by-step examples, you’ll discover how to choose the right database for each task, and use it the right way. Coverage includes --Getting started: What NoSQL databases are, how they differ from relational databases, when to use them, and when not to Data management principles and design criteria: Essential knowledge for creating any database solution, NoSQL or relational --Key-value databases: Gaining more utility from data structures --Document databases: Schemaless databases, normalization and denormalization, mutable documents, indexing, and design patterns --Column family databases: Google’s BigTable design, table design, indexing, partitioning, and Big Data Graph databases: Graph/network modeling, design tips, query methods, and traps to avoid Whether you’re a database developer, data modeler, database user, or student, learning NoSQL can open up immense new opportunities. As thousands of database professionals already know, For Mere Mortals is the fastest, easiest route to mastery.
Mastering Amazon Dynamodb Database
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Amazon Dynamodb Database written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the Potential of Scalable and Serverless Data with "Mastering Amazon DynamoDB Database" In today's data-centric world, the ability to efficiently manage and scale databases is a cornerstone of success. "Mastering Amazon DynamoDB Database" is your comprehensive guide to mastering one of the most robust and versatile NoSQL databases available – Amazon DynamoDB. Whether you're a seasoned data professional or a newcomer to NoSQL technology, this book equips you with the knowledge and skills needed to harness the full capabilities of Amazon DynamoDB. About the Book: "Mastering Amazon DynamoDB Database" takes you on a transformative journey through the intricacies of this dynamic NoSQL database. From fundamental concepts to advanced techniques, you'll explore DynamoDB's architecture, data model, and powerful features. Each chapter is meticulously crafted to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · DynamoDB Fundamentals: Lay a solid foundation by delving into DynamoDB's architecture, data model, and the principles that make it a leader in distributed databases. · Data Modeling: Learn how to design efficient schema structures that optimize storage, access patterns, and query performance in DynamoDB. · Serverless Scalability: Explore DynamoDB's seamless scalability, taking advantage of its serverless nature to accommodate growing workloads without manual intervention. · Advanced Querying: Master DynamoDB's powerful query capabilities, including filtering, indexing, and advanced querying techniques that enable complex data retrieval. · Best Practices: Dive into best practices for data modeling, indexing strategies, partition key selection, and managing read and write capacity to ensure optimal performance. · Real-World Applications: Gain insights from real-world use cases across industries, from e-commerce and gaming to IoT and beyond, showcasing DynamoDB's adaptability. · Integration and Ecosystem: Explore DynamoDB's integration with other AWS services, APIs, and developer tools, empowering you to build end-to-end solutions. · Advanced Topics: Uncover advanced concepts such as transactions, backups, global tables, security mechanisms, and best practices for disaster recovery. Who This Book Is For: "Mastering Amazon DynamoDB Database" caters to developers, data engineers, solution architects, and anyone interested in leveraging the power of NoSQL databases. Whether you're seeking to enhance your skills or dive into the world of serverless databases, this book provides the insights and tools to navigate DynamoDB's intricacies. Why You Should Read This Book: In an era where scalability and performance are paramount, Amazon DynamoDB shines as a cornerstone of data management. "Mastering Amazon DynamoDB Database" empowers you to fully harness its capabilities, enabling you to build highly available applications, deliver seamless user experiences, and scale effortlessly. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Design With Mongodb
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Author : Alessandro Fiori
language : en
Publisher:
Release Date : 2020-11-02
Design With Mongodb written by Alessandro Fiori and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with categories.
The world of NoSQL databases is constantly evolving. Many applications are adopting these new technologies to provide developers with increasingly powerful tools. One of their prominent hallmarks is the freedom from having to define a database model ahead - a feature known as being "schemaless". MongoDB, the market leader in NoSQL document databases, has made this feature its strong point. An unprecedented level of flexibility makes MongoDb an incredibly powerful tool, but may likewise compromise performance, if not properly tamed. The design of database models, therefore, becomes fundamental to achieving the best performance. In this book we will analyze some use cases and identify optimal modeling patterns, by taking into account the constraints of the application context. We will pinpoint the benefits, but also the tradeoffs that come with each pattern. These patterns will become our tools of the trade for taking full advantage of the power and flexibility of this document database, and building efficient applications.
Mongodb
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Author : Ajit Singh
language : en
Publisher: Ajit Singh
Release Date : 2019-10-16
Mongodb written by Ajit Singh and has been published by Ajit Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-16 with Computers categories.
● This book is a comprehensive guide to MongoDB for application developers. The book begins by explaining what makes MongoDB unique and describing its ideal use cases. A series of chapters designed for MongoDB mastery then leads into detailed examples for leveraging MongoDB in e-commerce, social networking, analytics, and other common applications. Numerous examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. ● This is well-organized book which provides both the proper explaination youll need as a student developer and enough detail to satisfy a developer. Several examples will help you develop confidence in the crucial area of data modeling. Youll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. ● The first chapters cover a lot of theory but later you dive into practical hands-on experience setting up and configuring MongoDB from scratch. This is crucial if you want to truly understand the database environment. ● This book really does cover just the MongoDB, simply in depth so it also wont take you very far. Throughout each chapter youll learn tons of new techniques for using MongoDB objects and the basic CRUD techniques for DB connections. Later chapters even offer source code from multiple languages like Java, Python, and PHP. This lets you see how applications can scale using Mongo regardless of the backend language. You can learn sharding and replication for scaling databases. ● This book is very compact with less than 100 pages. But its also incredibly detailed and wastes no time diving right into the action and ease of use.. ● What's inside: - NoSQL, Architecture of MongoDB - Standard DB operations, Indexes, queries - Map-reduce for custom aggregations and reporting - Java, Python and PHP Connectivity - Schema design patterns - Deploying for scale and high availability.