Mastering Google Bigtable Database
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Author | : Cybellium Ltd |
Publisher | : Cybellium Ltd |
Total Pages | : 173 |
Release | : |
Genre | : Computers |
ISBN | : |
Harness the Power of Massive-Scale Data with "Mastering Google Bigtable Database" In the realm of modern data management, handling colossal datasets with precision and efficiency is paramount. "Mastering Google Bigtable Database" serves as your definitive guide to mastering one of the most powerful and scalable NoSQL databases – Google Bigtable. Whether you're an experienced data professional or a newcomer to the world of distributed databases, this book equips you with the knowledge and skills needed to harness the true capabilities of Google Bigtable. About the Book: "Mastering Google Bigtable Database" takes you on an enlightening journey through the intricacies of this dynamic distributed database. From foundational concepts to advanced techniques, you'll explore the depths of Google Bigtable's architecture, data model, and rich features. Each chapter is meticulously designed to provide both a deep understanding of the concepts and hands-on experience through practical applications. Key Features: · Foundations of Bigtable: Build a strong understanding of Google Bigtable's architecture, data model, and the underlying principles that make it a cornerstone of distributed data storage. · Data Modeling: Learn how to design efficient schema structures that optimize storage, retrieval, and performance in Google Bigtable. · Rich Data Manipulation: Master the art of manipulating data in Google Bigtable using its API, and explore advanced querying techniques for flexible data access. · Scalability and Performance: Dive into the realm of horizontal scaling and learn strategies to ensure smooth performance as your data grows exponentially. · Integration with Ecosystem: Explore how Google Bigtable seamlessly integrates with other Google Cloud services and popular tools, enabling you to build robust data pipelines and applications. · Advanced Topics: Uncover advanced concepts like data versioning, backup and recovery, security mechanisms, and best practices for high availability. · Real-World Use Cases: Gain insights from real-world examples across industries, from IoT and e-commerce to analytics and more, showcasing the versatility of Google Bigtable. · Administering Bigtable: Learn the essentials of managing Google Bigtable clusters, optimizing performance, and ensuring data security and compliance. Who This Book Is For: "Mastering Google Bigtable Database" caters to data engineers, database administrators, developers, and anyone eager to harness the potential of distributed databases. Whether you're seeking to enhance your skills or dive into the world of NoSQL databases, this book provides the insights and tools to navigate the complexities of Google Bigtable. Why You Should Read This Book: In an era of data explosion, Google Bigtable emerges as a powerful solution for managing vast amounts of data across distributed environments. "Mastering Google Bigtable Database" empowers you to fully unleash its capabilities, enabling you to build high-performance applications, handle massive workloads, and extract valuable insights from your data. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author | : Mohsin Shafique Hijazee |
Publisher | : Packt Publishing Ltd |
Total Pages | : 368 |
Release | : 2015-10-08 |
Genre | : Computers |
ISBN | : 1784394920 |
Build robust and highly scalable web applications with Google App Engine About This Book Get an in-depth look at how Google App Engine works under the hood Design and model your application around Google's highly scalable distributed NoSQL datastore to unlock its full potential A comprehensive guide to ensure your mastery of Google App Engine Who This Book Is For If you have been developing web applications in Python or any other dynamic language but have always wondered how to write highly scalable web applications without getting into system administration and other plumbing, then this is the book for you. No experience in writing scalable applications is required. What You Will Learn Scale and develop your applications with Google App Engine's runtime environment Get to grips with request handling mechanism and write request handlers Deep dive into Google's distributed NoSQL and highly scalable datastore and design your application around it Implement powerful search with scalable datastore Perform long-running tasks in the background using task queues Write compartmentalized apps using multi tenancy, memcache, and other Google App Engine runtime services Handle web requests using the CGI, WSGI, and multi-threaded configurations Deploy, tweak, and manage apps in production on Google App Engine In Detail Developing web applications that serve millions of users is no easy task, as it involves a number of configurations and administrative tasks for the underlying software and hardware stack. This whole configuration requires not only expertise, but also a fair amount of time as well. Time that could have been spent on actual application functionality. Google App Engine allows you develop highly scalable web applications or backends for mobile applications without worrying about the system administration plumbing or hardware provisioning issues. Just focus writing on your business logic, the meat of the application, and let Google's powerful infrastructure scale it to thousands of requests per second and millions of users without any effort on your part. This book takes you from explaining how scalable applications work to designing and developing robust scalable web applications of your own, utilizing services available on Google App Engine. Starting with a walkthrough of scalability is and how scalable web applications work, this book introduces you to the environment under which your applications exist on Google App Engine. Next, you will learn about Google's datastore, which is a massively scalable distributed NoSQL solution built on top of BigTable. You will examine the BigTable concepts and operations in detail and reveal how it is used to build Google datastore. Armed with this knowledge, you will then advance towards how to best model your data and query that along with transactions. To augment the powerful distributed dataset, you will deep dive into search functionality offered on Google App Engine. With the search and storage sorted out, you will get a look into performing long running tasks in the background using Google App Engine task queues along with sending and receiving emails. You will also examine the memcache to boost web application performance, image processing for common image manipulation tasks. You will then explore uploading, storing, and serving large files using Blobstore and Cloud storage. Finally, you will be presented with the deployment and monitoring of your applications in production along with a detailed look at dividing applications into different working modules. Style and approach This book is an in-depth guide where you will examine the problems in the context of highly scalable web applications. This book will take you through the libraries, services, and required configuration and finally puts everything together into a small web application that showcases all the capabilities of Google App Engine.
Author | : Cybellium Ltd |
Publisher | : Cybellium Ltd |
Total Pages | : 405 |
Release | : |
Genre | : Computers |
ISBN | : |
Embark on a Profound Journey to "Mastering Back-End Development" In the ever-evolving realm of technology, mastering the art of back-end development is crucial for creating robust and scalable web applications that power modern digital experiences. "Mastering Back-End Development" is your definitive guide to navigating the intricate world of server-side programming, databases, and APIs. Whether you're a seasoned developer or an aspiring programmer, this book equips you with the knowledge and skills needed to excel in crafting powerful and efficient back-end systems. About the Book: "Mastering Back-End Development" takes you on a transformative journey through the intricacies of server-side programming, from foundational concepts to advanced techniques. From databases and APIs to security and performance, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the principles and practical applications in real-world scenarios. Key Features: · Foundational Understanding: Build a strong foundation by comprehending the core technologies of back-end development, including server-side languages and databases. · Database Design and Management: Explore database design principles, learning how to create efficient database structures and perform complex queries. · Server-Side Languages: Master server-side programming languages like Python, Ruby, PHP, or Node.js, and understand how to create dynamic web applications. · API Development: Dive into building RESTful APIs, understanding API design principles, authentication, and how to enable communication between front-end and back-end systems. · Security and Authentication: Learn how to implement security measures, including data encryption, user authentication, and protection against common web vulnerabilities. · Caching and Performance Optimization: Gain insights into strategies for caching, optimizing database queries, and improving the overall performance of back-end systems. · Scalability and Deployment: Explore techniques for designing scalable architectures and deploying back-end applications to cloud platforms. · Challenges and Emerging Trends: Discover challenges in back-end development, from maintaining data integrity to managing server resources, and explore emerging trends shaping the future of server-side programming. Who This Book Is For: "Mastering Back-End Development" is designed for developers, programmers, software engineers, students, and anyone passionate about creating powerful web applications. Whether you're aiming to enhance your skills or embark on a journey toward becoming a back-end development expert, this book provides the insights and tools to navigate the complexities of building robust digital systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author | : Cybellium Ltd |
Publisher | : Cybellium Ltd |
Total Pages | : 345 |
Release | : |
Genre | : Computers |
ISBN | : |
Unlock the Power of Scalable and Distributed Data Storage with "Mastering Apache HBase" In the rapidly evolving landscape of data management, the ability to efficiently handle massive amounts of data has become an indispensable skill. "Mastering Apache HBase" serves as your definitive guide to mastering one of the most powerful and flexible distributed NoSQL databases – Apache HBase. Whether you're a seasoned data professional or a newcomer to the world of big data, this book equips you with the knowledge and skills needed to harness the full potential of Apache HBase. About the Book: "Mastering Apache HBase" takes you on a comprehensive journey through the intricacies of this robust and versatile NoSQL database. From the fundamentals of installation and configuration to advanced topics such as performance tuning and integration with other Big Data tools, this book covers it all. Each chapter is meticulously crafted to provide a deep understanding of the concepts along with practical, real-world applications. Key Features: · Solid Foundation: Build a strong understanding by exploring the core concepts of Apache HBase, including its architecture, data model, and storage components. · Efficient Data Management: Learn how to create tables, insert and retrieve data, and implement effective data modeling strategies that maximize performance and flexibility. · Scalability and Distribution: Dive into the distributed nature of Apache HBase and discover techniques to scale your cluster horizontally, ensuring seamless growth as your data needs expand. · Advanced Techniques: Master advanced topics such as data versioning, coprocessors, security, and backup and recovery, enabling you to tackle complex scenarios with confidence. · Performance Optimization: Uncover strategies and best practices for optimizing the performance of your Apache HBase cluster, ensuring your applications run smoothly even at scale. · Integration with Ecosystem: Explore how Apache HBase seamlessly integrates with other Big Data tools like Apache Hadoop, Apache Spark, and Apache Hive, opening up possibilities for data analysis and processing. · Real-World Use Cases: Learn through practical examples and use cases from various industries, including social media, e-commerce, finance, and more, to understand how Apache HBase can solve real-world data challenges. · Expert Insights: Benefit from the experience of seasoned professionals who provide insights, tips, and recommendations garnered from their years of working with Apache HBase. Who This Book Is For: "Mastering Apache HBase" is designed for data engineers, database administrators, and anyone involved in managing and analyzing large volumes of data. Whether you're a developer looking to expand your skillset or an experienced professional aiming to deepen your understanding of distributed data storage, this book is your ultimate resource. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author | : Gergely Daroczi |
Publisher | : Packt Publishing Ltd |
Total Pages | : 397 |
Release | : 2015-09-30 |
Genre | : Computers |
ISBN | : 1783982039 |
Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.
Author | : Rajkumar Buyya |
Publisher | : Newnes |
Total Pages | : 469 |
Release | : 2013-04-05 |
Genre | : Computers |
ISBN | : 0124095399 |
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won't live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout. - Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment - Real-world case studies include scientific, business, and energy-efficiency considerations
Author | : Cybellium Ltd |
Publisher | : Cybellium Ltd |
Total Pages | : 193 |
Release | : 2023-09-06 |
Genre | : Computers |
ISBN | : |
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Author | : Barjender Paul |
Publisher | : Orange Education Pvt Ltd |
Total Pages | : 568 |
Release | : 2024-08-16 |
Genre | : Computers |
ISBN | : 8197396582 |
TAGLINE Building Tomorrow's Enterprise: Embracing the Multi-Cloud Era with AWS, Azure, and GCP. KEY FEATURES ● Comprehensive guide to multi-cloud architecture designs and best practices. ● Expert insights on networking strategies and efficient DNS design for multi-cloud. ● Emphasis on security, performance, cost-efficiency, and robust disaster recovery. DESCRIPTION This book is a comprehensive guide designed for IT professionals and enterprise architects, providing step-by-step instructions for creating and implementing tailored multi-cloud strategies. Covering key areas such as security, performance, cost management, and disaster recovery, it ensures robust and efficient cloud deployments. This book will help you learn to develop custom multi-cloud solutions that align with the organization's specific needs and goals. It includes in-depth discussions on cloud design patterns, architecture designs, and industry best practices. The book offers advanced networking strategies and DNS design insights to optimize system reliability, scalability, and performance. Practical tips help readers navigate the complexities of multi-cloud environments, ensuring seamless integration and management across different cloud platforms. Whether new to cloud concepts or an experienced practitioner looking to enhance your skills, this book equips you with the knowledge and tools needed to excel in your role. By following expert guidance and best practices, you can confidently design and implement multi-cloud strategies that foster innovation and operational excellence in your organization. WHAT WILL YOU LEARN ● Understand the fundamentals and benefits of multi-cloud environments. ● Gain a solid grasp of essential cloud computing concepts and terminologies. ● Learn how to establish a robust foundation for multi-cloud deployments. ● Implement best practices for securing and governing multi-cloud architectures. ● Design effective network solutions tailored for multi-cloud environments. ● Optimize DNS design and management across multiple cloud platforms. ● Apply architecture design patterns to enhance system reliability and scalability. ● Manage costs effectively and implement financial operations in a multi-cloud setting. ● Leverage automation and orchestration to streamline multi-cloud operations. ● Monitor and manage performance and health across various cloud services. ● Ensure robust disaster recovery and build resilient systems for multi-cloud. WHO IS THIS BOOK FOR? This book is for IT professionals, cloud architects, enterprise architects, and cloud engineers with a basic understanding of cloud computing concepts. It is ideal for those looking to deepen their knowledge of multi-cloud strategies and best practices to enhance their organization's cloud infrastructure. TABLE OF CONTENTS 1. Getting Started with Multi-Cloud 2. Cloud Computing Concepts 3. Building a Solid Foundation 4. Security and Governance in Multi-Cloud 5. Designing Network Solution 6. DNS in a Multi-Cloud Landscape 7. Architecture Design Pattern in Multi-Cloud 8. FinOps in Multi-Cloud 9. The Role of Automation and Orchestration 10. Multi-Cloud Monitoring 11. Resilience and Disaster Recovery Index
Author | : |
Publisher | : Anand Vemula |
Total Pages | : 166 |
Release | : |
Genre | : Computers |
ISBN | : |
"Architecting Big Data: Mastering Hadoop Solutions Certification" is a comprehensive guide tailored for professionals seeking to become proficient in architecting Hadoop solutions for big data applications. Authored by industry experts with extensive experience in big data technologies and Hadoop ecosystems, this book offers a succinct yet thorough overview of the concepts, techniques, and best practices essential for success in this rapidly evolving field. The book begins by providing a solid foundation in big data fundamentals, covering topics such as data storage, processing frameworks, and distributed computing principles. It then delves into the intricacies of the Hadoop ecosystem, including HDFS (Hadoop Distributed File System), MapReduce, YARN (Yet Another Resource Negotiator), and various Hadoop ecosystem projects like Hive, Pig, and Spark. Through clear explanations and practical examples, readers gain a deep understanding of how these components work together to handle large volumes of data efficiently. One of the book's key strengths lies in its focus on architectural considerations. Readers learn how to design scalable, fault-tolerant, and high-performance Hadoop solutions that meet the unique requirements of their organizations. From data ingestion and storage to processing and analysis, the authors provide insights into designing robust architectures that optimize resource utilization and minimize latency. Moreover, the book addresses advanced topics such as data governance, security, and optimization techniques, ensuring that readers are well-equipped to address the complexities of real-world big data projects. Throughout the book, emphasis is placed on practical implementation, with hands-on exercises and case studies that reinforce learning and facilitate skill development. Whether you're a seasoned data professional looking to expand your expertise or a newcomer seeking to enter the field of big data architecture, "Architecting Big Data: Mastering Hadoop Solutions Certification" serves as an invaluable resource. By combining comprehensive coverage of Hadoop technologies with practical insights and expert guidance, this book equips readers with the knowledge and skills needed to excel as Hadoop solution architects in today's data-driven world.
Author | : Cybellium Ltd |
Publisher | : Cybellium Ltd |
Total Pages | : 217 |
Release | : |
Genre | : Computers |
ISBN | : |
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