Data Design A Complete Guide 2020 Edition
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| Author | : Alex Xu |
| Publisher | : Independently Published |
| Total Pages | : 280 |
| Release | : 2020-06-12 |
| Genre | : |
| ISBN | : |
The system design interview is considered to be the most complex and most difficult technical job interview by many. Those questions are intimidating, but don't worry. It's just that nobody has taken the time to prepare you systematically. We take the time. We go slow. We draw lots of diagrams and use lots of examples. You'll learn step-by-step, one question at a time.Don't miss out.What's inside?- An insider's take on what interviewers really look for and why.- A 4-step framework for solving any system design interview question.- 16 real system design interview questions with detailed solutions.- 188 diagrams to visually explain how different systems work.
| Author | : Martin Kleppmann |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 658 |
| Release | : 2017-03-16 |
| Genre | : Computers |
| ISBN | : 1491903104 |
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 | : Vinay Polisetti |
| Publisher | : |
| Total Pages | : 239 |
| Release | : 2019-09-10 |
| Genre | : |
| ISBN | : 9781692147266 |
This book highlights the basic principles of IT Service Management, IT Operations Management, best practices of implementing them in an enterprise for better designing, creating, delivering, supporting, managing and monitoring the life cycle of IT services. This book introduces the ServiceNow platform, key concepts in administration of ServiceNow instance, best practices in configuration, scripting examples, sample code snippets and the real-world scenarios how ServiceNow can be better used to maintain the life cycle of IT Services provided in any enterprise. This book also showcases the configuration of core modules in ServiceNow, how they are interrelated, generating the reports, integration of ServiceNow with third party systems, Enabling Orchestration, Service Catalog management and the IT workflows which govern the catalog management. By the end of this book you would be able to request a personal demo instance of ServiceNow, be able to administer and configure various It process automation in ServiceNow. This book is written during ServiceNow's New York Version release. The book shows some of the screenshots from the instance in Madrid release and as ServiceNow releases new versions, the snapshots might change a bit as ServiceNow releases new versions. This book is intended for anyone willing to learn the fundamentals of ServiceNow and understand the best practices and get a deep dive understanding of ServiceNow scripting
| Author | : Gerard Blokdyk |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 120 |
| Release | : 2017-10-12 |
| Genre | : |
| ISBN | : 9781978196896 |
This easy IBM InfoSphere DataStage self-assessment will make you the established IBM InfoSphere DataStage domain master by revealing just what you need to know to be fluent and ready for any IBM InfoSphere DataStage challenge. How do I reduce the effort in the IBM InfoSphere DataStage work to be done to get problems solved? How can I ensure that plans of action include every IBM InfoSphere DataStage task and that every IBM InfoSphere DataStage outcome is in place? How will I save time investigating strategic and tactical options and ensuring IBM InfoSphere DataStage opportunity costs are low? How can I deliver tailored IBM InfoSphere DataStage advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all IBM InfoSphere DataStage essentials are covered, from every angle: the IBM InfoSphere DataStage self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that IBM InfoSphere DataStage outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced IBM InfoSphere DataStage practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in IBM InfoSphere DataStage are maximized with professional results. Your purchase includes access to the $249 value IBM InfoSphere DataStage self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
| Author | : Edward Sciore |
| Publisher | : Springer Nature |
| Total Pages | : 468 |
| Release | : 2020-02-27 |
| Genre | : Computers |
| ISBN | : 3030338363 |
This textbook examines database systems from the viewpoint of a software developer. This perspective makes it possible to investigate why database systems are the way they are. It is of course important to be able to write queries, but it is equally important to know how they are processed. We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that it does. We need a sense of how hard is it to write a disk cache or logging facility. And what exactly is a database driver, anyway? The first two chapters provide a brief overview of database systems and their use. Chapter 1 discusses the purpose and features of a database system and introduces the Derby and SimpleDB systems. Chapter 2 explains how to write a database application using Java. It presents the basics of JDBC, which is the fundamental API for Java programs that interact with a database. In turn, Chapters 3-11 examine the internals of a typical database engine. Each chapter covers a different database component, starting with the lowest level of abstraction (the disk and file manager) and ending with the highest (the JDBC client interface); further, the respective chapter explains the main issues concerning the component, and considers possible design decisions. As a result, the reader can see exactly what services each component provides and how it interacts with the other components in the system. By the end of this part, s/he will have witnessed the gradual development of a simple but completely functional system. The remaining four chapters then focus on efficient query processing, and focus on the sophisticated techniques and algorithms that can replace the simple design choices described earlier. Topics include indexing, sorting, intelligent buffer usage, and query optimization. This text is intended for upper-level undergraduate or beginning graduate courses in Computer Science. It assumes that the reader is comfortable with basic Java programming; advanced Java concepts (such as RMI and JDBC) are fully explained in the text. The respective chapters are complemented by “end-of-chapter readings” that discuss interesting ideas and research directions that went unmentioned in the text, and provide references to relevant web pages, research articles, reference manuals, and books. Conceptual and programming exercises are also included at the end of each chapter. Students can apply their conceptual knowledge by examining the SimpleDB (a simple but fully functional database system created by the author and provided online) code and modifying it.
| Author | : Hwaiyu Geng |
| Publisher | : John Wiley & Sons |
| Total Pages | : 720 |
| Release | : 2014-12-22 |
| Genre | : Computers |
| ISBN | : 1118436636 |
Provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers Organizations in need of high-speed connectivity and nonstop systems operations depend upon data centers for a range of deployment solutions. A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes multiple power sources, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. With contributions from an international list of experts, The Data Center Handbook instructs readers to: Prepare strategic plan that includes location plan, site selection, roadmap and capacity planning Design and build "green" data centers, with mission critical and energy-efficient infrastructure Apply best practices to reduce energy consumption and carbon emissions Apply IT technologies such as cloud and virtualization Manage data centers in order to sustain operations with minimum costs Prepare and practice disaster reovery and business continuity plan The book imparts essential knowledge needed to implement data center design and construction, apply IT technologies, and continually improve data center operations.
| Author | : Jeff Carpenter |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 369 |
| Release | : 2016-06-29 |
| Genre | : Computers |
| ISBN | : 1491933631 |
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 | : Kohei Arai |
| Publisher | : Springer Nature |
| Total Pages | : 1125 |
| Release | : 2021-04-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3030731006 |
This book aims to provide an international forum for scholarly researchers, practitioners and academic communities to explore the role of information and communication technologies and its applications in technical and scholarly development. The conference attracted a total of 464 submissions, of which 152 submissions (including 4 poster papers) have been selected after a double-blind review process. Academic pioneering researchers, scientists, industrial engineers and students will find this series useful to gain insight into the current research and next-generation information science and communication technologies. This book discusses the aspects of communication, data science, ambient intelligence, networking, computing, security and Internet of things, from classical to intelligent scope. The authors hope that readers find the volume interesting and valuable; it gathers chapters addressing state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.
| Author | : Steven S. Skiena |
| Publisher | : Springer |
| Total Pages | : 456 |
| Release | : 2017-07-01 |
| Genre | : Computers |
| ISBN | : 3319554441 |
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
| Author | : Andrew Roman Wells |
| Publisher | : John Wiley & Sons |
| Total Pages | : 371 |
| Release | : 2017-03-13 |
| Genre | : Business & Economics |
| ISBN | : 1119356245 |
Transforming data into revenue generating strategies and actions Organizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns. The companion website, www.monetizingyourdata.com, provides templates, checklists, and examples to help you apply the methodology in your environment, and the expert author team provides authoritative guidance every step of the way. This book shows you how to use your data to: Monetize your data to drive revenue and cut costs Connect your data to decisions that drive action and deliver value Develop analytic tools to guide managers up and down the ladder to better decisions Turning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.
