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Author : Goodson
Publisher :
ISBN 13 : 9788131746394
Total Pages : 360 pages
Book Rating : 4.7/5 (463 download)
Download or read book The Data Access Handbook written by Goodson and published by . This book was released on 2009 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John Goodson
Publisher :
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.:/5 (12 download)
Download or read book The Data Access Handbook written by John Goodson and published by . This book was released on 1900 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. This book offers powerful and strategic insight into application design, development a.
Author : Martin L. Abbott
Publisher : Pearson Education
ISBN 13 : 0137031394
Total Pages : 1063 pages
Book Rating : 4.1/5 (37 download)
Download or read book The Art of Scalability written by Martin L. Abbott and published by Pearson Education. This book was released on 2009-12-15 with total page 1063 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Comprehensive, Proven Approach to IT Scalability from Two Veteran Software, Technology, and Business Executives In The Art of Scalability, AKF Partners cofounders Martin L. Abbott and Michael T. Fisher cover everything IT and business leaders must know to build technology infrastructures that can scale smoothly to meet any business requirement. Drawing on their unparalleled experience managing some of the world’s highest-transaction-volume Web sites, the authors provide detailed models and best-practice approaches available in no other book. Unlike previous books on scalability, The Art of Scalability doesn’t limit its coverage to technology. Writing for both technical and nontechnical decision-makers, this book covers everything that impacts scalability, including architecture, processes, people, and organizations. Throughout, the authors address a broad spectrum of real-world challenges, from performance testing to IT governance. Using their tools and guidance, organizations can systematically overcome obstacles to scalability and achieve unprecedented levels of technical and business performance. Coverage includes Staffing the scalable organization: essential organizational, management, and leadership skills for technical leaders Building processes for scale: process lessons from hyper-growth companies, from technical issue resolution to crisis management Making better “build versus buy” decisions Architecting scalable solutions: powerful proprietary models for identifying scalability needs and choosing the best approaches to meet them Optimizing performance through caching, application and database splitting, and asynchronous design Scalability techniques for emerging technologies, including clouds and grids Planning for rapid data growth and new data centers Evolving monitoring strategies to tightly align with customer requirements
Author : Saurabh Shrivastava
Publisher : Packt Publishing Ltd
ISBN 13 : 1835084362
Total Pages : 579 pages
Book Rating : 4.8/5 (35 download)
Download or read book Solutions Architect's Handbook written by Saurabh Shrivastava and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology.
Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 159 pages
Book Rating : 4.8/5 (672 download)
Download or read book Mastering Database Performance Optimization and Scalability written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Secrets to Optimal Database Performance and Scalability with "Mastering Database Performance Optimization and Scalability" In the fast-paced world of data-driven applications, the ability to deliver high-performance, scalable databases is essential. "Mastering Database Performance Optimization and Scalability" is your comprehensive guide to mastering the art of crafting databases that excel in both speed and capacity. Whether you're a seasoned database professional or a newcomer to the world of performance tuning, this book equips you with the knowledge and skills needed to unlock the true potential of your databases. About the Book: "Mastering Database Performance Optimization and Scalability" takes you on an enlightening journey through the intricacies of crafting high-performance databases. From foundational concepts to advanced techniques, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of database performance, including query optimization, indexing, and data modeling. · Optimizing Query Performance: Master the art of writing efficient queries, leveraging indexes, and employing optimization techniques to dramatically improve query response times. · Scaling Strategies: Dive into strategies for horizontal and vertical scaling, including sharding, partitioning, and load balancing, to ensure your databases can handle growing workloads. · Caching and In-Memory Processing: Learn how to effectively implement caching strategies and leverage in-memory databases to boost performance for real-time applications. · Data Partitioning and Distribution: Explore techniques for partitioning and distributing data across clusters to ensure optimal data distribution and access. · Monitoring and Tuning: Discover best practices for monitoring database performance, identifying bottlenecks, and using profiling tools to fine-tune your databases. · Cloud and Container Optimization: Learn how to optimize database performance in cloud environments and containerized deployments, ensuring seamless scalability. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from e-commerce and social media to finance and beyond. · High Availability and Disaster Recovery: Understand strategies for ensuring high availability, implementing disaster recovery plans, and maintaining data integrity. Who This Book Is For: "Mastering Database Performance Optimization and Scalability" is designed for database administrators, developers, and anyone seeking to optimize and scale databases for optimal performance. Whether you're aiming to enhance your skills or embark on a journey toward becoming a performance tuning expert, this book provides the insights and tools to navigate the complexities of database optimization. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author : Felipe Cardeneti Mendes
Publisher : Apress
ISBN 13 : 9781484297100
Total Pages : 0 pages
Book Rating : 4.2/5 (971 download)
Download or read book Database Performance at Scale written by Felipe Cardeneti Mendes and published by Apress. This book was released on 2023-10-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover critical considerations and best practices for improving database performance based on what has worked, and failed, across thousands of teams and use cases in the field. This open access book provides practical guidance for understanding the database-related opportunities, trade-offs, and traps you might encounter while trying to optimize data-intensive applications for high throughput and low latency. Whether you are building a new system from the ground up or trying to optimize an existing use case for increased demand, this book covers the essentials. The book begins with a look at the many factors impacting database performance at the extreme scale that today’s game changing applications face—or at least hope to achieve. You’ll gain insight into the performance impact of both technical and business requirements, and how those should influence your decisions around database infrastructure and topology. The authors share an inside perspective on often-overlooked engineering details that could be constraining—or helping—your team’s database performance. The book also covers benchmarking and monitoring practices by which to measure and validate the outcomes from the decisions that you make. The ultimate goal of the book is to help you discover new ways to optimize database performance for your team’s specific use cases, requirements, and expectations. What You Will Learn Understand often overlooked factors that impact database performance at scale Recognize data-related performance and scalability challenges associated with your project Select a database architecture that’s suited to your workloads, use cases, and requirements Avoid common mistakes that could impede your long-term agility and growth Jumpstart teamwide adoption of best practices for optimizing database performance at scale Who This Book Is For Individuals and teams looking to optimize distributed database performance for an existing project or to begin a new performance-sensitive project with a solid and scalable foundation. This will likely include software architects, database architects, and senior software engineers who are either experiencing or anticipating pain related to database latency and/or throughput.
Author : Jeff Carpenter
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491933631
Total Pages : 369 pages
Book Rating : 4.4/5 (919 download)
Download or read book Cassandra: The Definitive Guide written by Jeff Carpenter and published by "O'Reilly Media, Inc.". This book was released on 2016-06-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
Author : Douglas McMurtry
Publisher : Microsoft patterns & practices
ISBN 13 : 9781621140306
Total Pages : pages
Book Rating : 4.1/5 (43 download)
Download or read book Data Access for Highly-Scalable Solutions written by Douglas McMurtry and published by Microsoft patterns & practices. This book was released on 2013-09-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: All applications use data, and most applications also need to store this data somewhere. In the world of business solutions, this often meant creating a relational database. However, relational technology is not always the best solution to meet the increasingly complex data-processing requirements of modern business systems, especially when this processing involves storing and retrieving massive amounts of data. The advent of NoSQL databases has changed the way in which organizations have started to think about the way in which they structure their data. There is no standard definition of what a NoSQL database is other than they are all non-relational. They are less generalized than relational databases, but the driving force behind most NoSQL databases is focused efficiency and high scalability. The downside of NoSQL is that no single database is likely to be able to support the complete range of business requirements mandated by your applications. How do you select the most appropriate database to use, or should you remain with the relational model? A modern business application is not restricted to using a single data store, and an increasing number of solutions are now based on a polyglot architecture. The key to designing a successful application is to understand which databases best meet the needs of the various parts of the system, and how to combine these databases into a single, seamless solution. This guide helps you understand these challenges and enables you to apply the principles of NoSQL databases and polyglot solutions in your own environment. To help illustrate how to build a polyglot solution, this guide presents a case study of a fictitious company faced with building a highly scalable web application capable of supporting many thousands of concurrent users.
Author : Felix Gessert
Publisher : Springer Nature
ISBN 13 : 3030435067
Total Pages : 199 pages
Book Rating : 4.0/5 (34 download)
Download or read book Fast and Scalable Cloud Data Management written by Felix Gessert and published by Springer Nature. This book was released on 2020-05-15 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.
Author : Peter Lake
Publisher : Springer Science & Business Media
ISBN 13 : 1447156013
Total Pages : 316 pages
Book Rating : 4.4/5 (471 download)
Download or read book Concise Guide to Databases written by Peter Lake and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-read textbook/reference presents a comprehensive introduction to databases, opening with a concise history of databases and of data as an organisational asset. As relational database management systems are no longer the only database solution, the book takes a wider view of database technology, encompassing big data, NoSQL, object and object-relational and in-memory databases. The text also examines the issues of scalability, availability, performance and security encountered when building and running a database in the real world. Topics and features: presents review and discussion questions at the end of each chapter, in addition to skill-building, hands-on exercises; introduces the fundamental concepts and technologies in database systems, placing these in an historic context; describes the challenges faced by database professionals; reviews the use of a variety of database types in business environments; discusses areas for further research within this fast-moving domain.
Author : Shailesh Kumar Shivakumar
Publisher : Morgan Kaufmann
ISBN 13 : 012802528X
Total Pages : 288 pages
Book Rating : 4.1/5 (28 download)
Download or read book Architecting High Performing, Scalable and Available Enterprise Web Applications written by Shailesh Kumar Shivakumar and published by Morgan Kaufmann. This book was released on 2014-10-29 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architecting High Performing, Scalable and Available Enterprise Web Applications provides in-depth insights into techniques for achieving desired scalability, availability and performance quality goals for enterprise web applications. The book provides an integrated 360-degree view of achieving and maintaining these attributes through practical, proven patterns, novel models, best practices, performance strategies, and continuous improvement methodologies and case studies. The author shares his years of experience in application security, enterprise application testing, caching techniques, production operations and maintenance, and efficient project management techniques. - Delivers holistic view of scalability, availability and security, caching, testing and project management - Includes patterns and frameworks that are illustrated with end-to-end case studies - Offers tips and troubleshooting methods for enterprise application testing, security, caching, production operations and project management - Exploration of synergies between techniques and methodologies to achieve end-to-end availability, scalability, performance and security quality attributes - 360-degree viewpoint approach for achieving overall quality - Practitioner viewpoint on proven patterns, techniques, methodologies, models and best practices - Bulleted summary and tabular representation of concepts for effective understanding - Production operations and troubleshooting tips
Author : Cory Isaacson
Publisher : Prentice Hall
ISBN 13 : 0133599094
Total Pages : 241 pages
Book Rating : 4.1/5 (335 download)
Download or read book Understanding Big Data Scalability written by Cory Isaacson and published by Prentice Hall. This book was released on 2014-07-11 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get Started Scaling Your Database Infrastructure for High-Volume Big Data Applications “Understanding Big Data Scalability presents the fundamentals of scaling databases from a single node to large clusters. It provides a practical explanation of what ‘Big Data’ systems are, and fundamental issues to consider when optimizing for performance and scalability. Cory draws on many years of experience to explain issues involved in working with data sets that can no longer be handled with single, monolithic relational databases.... His approach is particularly relevant now that relational data models are making a comeback via SQL interfaces to popular NoSQL databases and Hadoop distributions.... This book should be especially useful to database practitioners new to scaling databases beyond traditional single node deployments.” —Brian O’Krafka, software architect Understanding Big Data Scalability presents a solid foundation for scaling Big Data infrastructure and helps you address each crucial factor associated with optimizing performance in scalable and dynamic Big Data clusters. Database expert Cory Isaacson offers practical, actionable insights for every technical professional who must scale a database tier for high-volume applications. Focusing on today’s most common Big Data applications, he introduces proven ways to manage unprecedented data growth from widely diverse sources and to deliver real-time processing at levels that were inconceivable until recently. Isaacson explains why databases slow down, reviews each major technique for scaling database applications, and identifies the key rules of database scalability that every architect should follow. You’ll find insights and techniques proven with all types of database engines and environments, including SQL, NoSQL, and Hadoop. Two start-to-finish case studies walk you through planning and implementation, offering specific lessons for formulating your own scalability strategy. Coverage includes Understanding the true causes of database performance degradation in today’s Big Data environments Scaling smoothly to petabyte-class databases and beyond Defining database clusters for maximum scalability and performance Integrating NoSQL or columnar databases that aren’t “drop-in” replacements for RDBMSes Scaling application components: solutions and options for each tier Recognizing when to scale your data tier—a decision with enormous consequences for your application environment Why data relationships may be even more important in non-relational databases Why virtually every database scalability implementation still relies on sharding, and how to choose the best approach How to set clear objectives for architecting high-performance Big Data implementations The Big Data Scalability Series is a comprehensive, four-part series, containing information on many facets of database performance and scalability. Understanding Big Data Scalability is the first book in the series. Learn more and join the conversation about Big Data scalability at bigdatascalability.com.
Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491903104
Total Pages : 658 pages
Book Rating : 4.4/5 (919 download)
Download or read book Designing Data-Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Author : Michael Gertz
Publisher : Springer Science & Business Media
ISBN 13 : 0387485333
Total Pages : 579 pages
Book Rating : 4.3/5 (874 download)
Download or read book Handbook of Database Security written by Michael Gertz and published by Springer Science & Business Media. This book was released on 2007-12-03 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Database Security: Applications and Trends provides an up-to-date overview of data security models, techniques, and architectures in a variety of data management applications and settings. In addition to providing an overview of data security in different application settings, this book includes an outline for future research directions within the field. The book is designed for industry practitioners and researchers, and is also suitable for advanced-level students in computer science.
Author : Arthur James Wells
Publisher :
ISBN 13 :
Total Pages : 1922 pages
Book Rating : 4.F/5 ( download)
Download or read book The British National Bibliography written by Arthur James Wells and published by . This book was released on 2009 with total page 1922 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sumit Pal
Publisher : Apress
ISBN 13 : 9781484222461
Total Pages : 0 pages
Book Rating : 4.2/5 (224 download)
Download or read book SQL on Big Data written by Sumit Pal and published by Apress. This book was released on 2016-11-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn various commercial and open source products that perform SQL on Big Data platforms. You will understand the architectures of the various SQL engines being used and how the tools work internally in terms of execution, data movement, latency, scalability, performance, and system requirements. This book consolidates in one place solutions to the challenges associated with the requirements of speed, scalability, and the variety of operations needed for data integration and SQL operations. After discussing the history of the how and why of SQL on Big Data, the book provides in-depth insight into the products, architectures, and innovations happening in this rapidly evolving space. SQL on Big Data discusses in detail the innovations happening, the capabilities on the horizon, and how they solve the issues of performance and scalability and the ability to handle different data types. The book covers how SQL on Big Data engines are permeating the OLTP, OLAP, and Operational analytics space and the rapidly evolving HTAP systems. You will learn the details of: Batch Architectures—Understand the internals and how the existing Hive engine is built and how it is evolving continually to support new features and provide lower latency on queries Interactive Architectures—Understanding how SQL engines are architected to support low latency on large data sets Streaming Architectures—Understanding how SQL engines are architected to support queries on data in motion using in-memory and lock-free data structures Operational Architectures—Understanding how SQL engines are architected for transactional and operational systems to support transactions on Big Data platforms Innovative Architectures—Explore the rapidly evolving newer SQL engines on Big Data with innovative ideas and concepts Who This Book Is For: Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals/div
Author : Nathan Warren
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (111 download)
Download or read book Big Data written by Nathan Warren and published by . This book was released on 2015 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing.
