Hadoop Distributed File System Third Edition

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Hadoop Distributed File System Third Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655444183
Total Pages : 286 pages
Book Rating : 4.4/5 (441 download)

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Book Synopsis Hadoop Distributed File System Third Edition by : Gerardus Blokdyk

Download or read book Hadoop Distributed File System Third Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-11-07 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you go about comparing Hadoop Distributed File System approaches/solutions? What are the key elements of your Hadoop Distributed File System performance improvement system, including your evaluation, organizational learning, and innovation processes? How will you know that the Hadoop Distributed File System project has been successful? How can you measure Hadoop Distributed File System in a systematic way? Do you aggressively reward and promote the people who have the biggest impact on creating excellent Hadoop Distributed File System services/products? This instant Hadoop Distributed File System self-assessment will make you the established Hadoop Distributed File System domain auditor by revealing just what you need to know to be fluent and ready for any Hadoop Distributed File System challenge. How do I reduce the effort in the Hadoop Distributed File System work to be done to get problems solved? How can I ensure that plans of action include every Hadoop Distributed File System task and that every Hadoop Distributed File System outcome is in place? How will I save time investigating strategic and tactical options and ensuring Hadoop Distributed File System costs are low? How can I deliver tailored Hadoop Distributed File System advice 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 Hadoop Distributed File System essentials are covered, from every angle: the Hadoop Distributed File System self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Hadoop Distributed File System outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Hadoop Distributed File System practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Hadoop Distributed File System are maximized with professional results. Your purchase includes access details to the Hadoop Distributed File System self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Hadoop Distributed File System Hdfs Third Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655433019
Total Pages : 290 pages
Book Rating : 4.4/5 (33 download)

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Book Synopsis Hadoop Distributed File System Hdfs Third Edition by : Gerardus Blokdyk

Download or read book Hadoop Distributed File System Hdfs Third Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-10-17 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is a fully trained team formed, supported, and committed to work on the Hadoop Distributed File System HDFS improvements? Is there a critical path to deliver Hadoop Distributed File System HDFS results? How do you keep improving Hadoop Distributed File System HDFS? Is the impact that Hadoop Distributed File System HDFS has shown? Do the Hadoop Distributed File System HDFS decisions you make today help people and the planet tomorrow? This easy Hadoop Distributed File System HDFS self-assessment will make you the principal Hadoop Distributed File System HDFS domain assessor by revealing just what you need to know to be fluent and ready for any Hadoop Distributed File System HDFS challenge. How do I reduce the effort in the Hadoop Distributed File System HDFS work to be done to get problems solved? How can I ensure that plans of action include every Hadoop Distributed File System HDFS task and that every Hadoop Distributed File System HDFS outcome is in place? How will I save time investigating strategic and tactical options and ensuring Hadoop Distributed File System HDFS costs are low? How can I deliver tailored Hadoop Distributed File System HDFS advice 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 Hadoop Distributed File System HDFS essentials are covered, from every angle: the Hadoop Distributed File System HDFS self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Hadoop Distributed File System HDFS outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Hadoop Distributed File System HDFS practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Hadoop Distributed File System HDFS are maximized with professional results. Your purchase includes access details to the Hadoop Distributed File System HDFS self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Hadoop: The Definitive Guide

Author : Tom White
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449338771
Total Pages : 687 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Hadoop: The Definitive Guide by : Tom White

Download or read book Hadoop: The Definitive Guide written by Tom White and published by "O'Reilly Media, Inc.". This book was released on 2012-05-10 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

Computing Handbook, Third Edition

Author : Heikki Topi
Publisher : CRC Press
ISBN 13 : 1439898545
Total Pages : 1526 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computing Handbook, Third Edition by : Heikki Topi

Download or read book Computing Handbook, Third Edition written by Heikki Topi and published by CRC Press. This book was released on 2014-05-14 with total page 1526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing Handbook, Third Edition: Information Systems and Information Technology demonstrates the richness and breadth of the IS and IT disciplines. The second volume of this popular handbook explores their close links to the practice of using, managing, and developing IT-based solutions to advance the goals of modern organizational environments. Established leading experts and influential young researchers present introductions to the current status and future directions of research and give in-depth perspectives on the contributions of academic research to the practice of IS and IT development, use, and management Like the first volume, this second volume describes what occurs in research laboratories, educational institutions, and public and private organizations to advance the effective development and use of computers and computing in today’s world. Research-level survey articles provide deep insights into the computing discipline, enabling readers to understand the principles and practices that drive computing education, research, and development in the twenty-first century.

Hadoop

Author : Tom E. White
Publisher :
ISBN 13 : 9781449328917
Total Pages : 685 pages
Book Rating : 4.3/5 (289 download)

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Book Synopsis Hadoop by : Tom E. White

Download or read book Hadoop written by Tom E. White and published by . This book was released on 2012 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to unlock the power of your data? With this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop's data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems.

Encyclopedia of Information Science and Technology, Third Edition

Author : Khosrow-Pour, Mehdi
Publisher : IGI Global
ISBN 13 : 1466658894
Total Pages : 7972 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Encyclopedia of Information Science and Technology, Third Edition by : Khosrow-Pour, Mehdi

Download or read book Encyclopedia of Information Science and Technology, Third Edition written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2014-07-31 with total page 7972 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.

NFS Illustrated

Author : Brent Callaghan
Publisher : Addison-Wesley Professional
ISBN 13 : 0201325705
Total Pages : 544 pages
Book Rating : 4.2/5 (13 download)

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Book Synopsis NFS Illustrated by : Brent Callaghan

Download or read book NFS Illustrated written by Brent Callaghan and published by Addison-Wesley Professional. This book was released on 2000 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the original developers of the NFS and WebNFS offers unique insight into these key technologies, for both programmers creating and debugging NFS-based applications and network engineers creating new implementations. Readers can gain a deeper understanding of how network file protocols are designed and learn how NFS is implemented on UNIX, Windows NT, Java and web browsers.

Hadoop: The Definitive Guide

Author : Tom White
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449311520
Total Pages : 687 pages
Book Rating : 4.4/5 (493 download)

DOWNLOAD NOW!

Book Synopsis Hadoop: The Definitive Guide by : Tom White

Download or read book Hadoop: The Definitive Guide written by Tom White and published by "O'Reilly Media, Inc.". This book was released on 2012-05-19 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the latest edition of this comprehensive resource, readers will learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. Ideal for programmers and administrators wanting to set up and analyze datasets of any size.

Decision Support, Analytics, and Business Intelligence, Third Edition

Author : Daniel J. Power
Publisher : Business Expert Press
ISBN 13 : 1631573926
Total Pages : 244 pages
Book Rating : 4.6/5 (315 download)

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Book Synopsis Decision Support, Analytics, and Business Intelligence, Third Edition by : Daniel J. Power

Download or read book Decision Support, Analytics, and Business Intelligence, Third Edition written by Daniel J. Power and published by Business Expert Press. This book was released on 2017-06-08 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and “Big Data” are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is “Big Data”? What are “Big Data” business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can “get up to speed” on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions.

Analysis and implement Hadoop distributed file system

Author : Houfeng Wu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (117 download)

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Book Synopsis Analysis and implement Hadoop distributed file system by : Houfeng Wu

Download or read book Analysis and implement Hadoop distributed file system written by Houfeng Wu and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Apache Hadoop 3 Quick Start Guide

Author : Hrishikesh Vijay Karambelkar
Publisher : Packt Publishing Ltd
ISBN 13 : 1788994345
Total Pages : 214 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Apache Hadoop 3 Quick Start Guide by : Hrishikesh Vijay Karambelkar

Download or read book Apache Hadoop 3 Quick Start Guide written by Hrishikesh Vijay Karambelkar and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key FeaturesSet up, configure and get started with Hadoop to get useful insights from large data setsWork with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3Book Description Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. What you will learnStore and analyze data at scale using HDFS, MapReduce and YARNInstall and configure Hadoop 3 in different modesUse Yarn effectively to run different applications on Hadoop based platformUnderstand and monitor how Hadoop cluster is managedConsume streaming data using Storm, and then analyze it using SparkExplore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and KafkaWho this book is for Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage.

Data-Intensive Text Processing with MapReduce

Author : Jimmy Lin
Publisher : Springer Nature
ISBN 13 : 3031021363
Total Pages : 171 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data-Intensive Text Processing with MapReduce by : Jimmy Lin

Download or read book Data-Intensive Text Processing with MapReduce written by Jimmy Lin and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

Hadoop Security

Author : Ben Spivey
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491900962
Total Pages : 340 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Hadoop Security by : Ben Spivey

Download or read book Hadoop Security written by Ben Spivey and published by "O'Reilly Media, Inc.". This book was released on 2015-06-29 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security breach. Authors Ben Spivey and Joey Echeverria provide in-depth information about the security features available in Hadoop, and organize them according to common computer security concepts. You’ll also get real-world examples that demonstrate how you can apply these concepts to your use cases. Understand the challenges of securing distributed systems, particularly Hadoop Use best practices for preparing Hadoop cluster hardware as securely as possible Get an overview of the Kerberos network authentication protocol Delve into authorization and accounting principles as they apply to Hadoop Learn how to use mechanisms to protect data in a Hadoop cluster, both in transit and at rest Integrate Hadoop data ingest into enterprise-wide security architecture Ensure that security architecture reaches all the way to end-user access

Scalable Back-End Storage Using the Hadoop Distributed File System

Author :
Publisher :
ISBN 13 :
Total Pages : 1 pages
Book Rating : 4.:/5 (971 download)

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Book Synopsis Scalable Back-End Storage Using the Hadoop Distributed File System by :

Download or read book Scalable Back-End Storage Using the Hadoop Distributed File System written by and published by . This book was released on 2015 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hadoop Operations

Author : Eric Sammer
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144932729X
Total Pages : 298 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Hadoop Operations by : Eric Sammer

Download or read book Hadoop Operations written by Eric Sammer and published by "O'Reilly Media, Inc.". This book was released on 2012-09-26 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’ve been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now that Hadoop is becoming the de facto standard for truly large-scale data processing in the data center. Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance. Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments. Get a high-level overview of HDFS and MapReduce: why they exist and how they work Plan a Hadoop deployment, from hardware and OS selection to network requirements Learn setup and configuration details with a list of critical properties Manage resources by sharing a cluster across multiple groups Get a runbook of the most common cluster maintenance tasks Monitor Hadoop clusters—and learn troubleshooting with the help of real-world war stories Use basic tools and techniques to handle backup and catastrophic failure

Python Data Science Essentials

Author : Alberto Boschetti
Publisher : Packt Publishing Ltd
ISBN 13 : 1789531896
Total Pages : 466 pages
Book Rating : 4.7/5 (895 download)

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Book Synopsis Python Data Science Essentials by : Alberto Boschetti

Download or read book Python Data Science Essentials written by Alberto Boschetti and published by Packt Publishing Ltd. This book was released on 2018-09-28 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain useful insights from your data using popular data science tools Key FeaturesA one-stop guide to Python libraries such as pandas and NumPyComprehensive coverage of data science operations such as data cleaning and data manipulationChoose scalable learning algorithms for your data science tasksBook Description Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn. The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You’ll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost. By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users What you will learnSet up your data science toolbox on Windows, Mac, and LinuxUse the core machine learning methods offered by the scikit-learn libraryManipulate, fix, and explore data to solve data science problemsLearn advanced explorative and manipulative techniques to solve data operationsOptimize your machine learning models for optimized performanceExplore and cluster graphs, taking advantage of interconnections and links in your dataWho this book is for If you’re a data science entrant, data analyst, or data engineer, this book will help you get ready to tackle real-world data science problems without wasting any time. Basic knowledge of probability/statistics and Python coding experience will assist you in understanding the concepts covered in this book.

Just Enough Software Architecture

Author : George Fairbanks
Publisher : Marshall & Brainerd
ISBN 13 : 0984618104
Total Pages : 378 pages
Book Rating : 4.9/5 (846 download)

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Book Synopsis Just Enough Software Architecture by : George Fairbanks

Download or read book Just Enough Software Architecture written by George Fairbanks and published by Marshall & Brainerd. This book was released on 2010-08-30 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a practical guide for software developers, and different than other software architecture books. Here's why: It teaches risk-driven architecting. There is no need for meticulous designs when risks are small, nor any excuse for sloppy designs when risks threaten your success. This book describes a way to do just enough architecture. It avoids the one-size-fits-all process tar pit with advice on how to tune your design effort based on the risks you face. It democratizes architecture. This book seeks to make architecture relevant to all software developers. Developers need to understand how to use constraints as guiderails that ensure desired outcomes, and how seemingly small changes can affect a system's properties. It cultivates declarative knowledge. There is a difference between being able to hit a ball and knowing why you are able to hit it, what psychologists refer to as procedural knowledge versus declarative knowledge. This book will make you more aware of what you have been doing and provide names for the concepts. It emphasizes the engineering. This book focuses on the technical parts of software development and what developers do to ensure the system works not job titles or processes. It shows you how to build models and analyze architectures so that you can make principled design tradeoffs. It describes the techniques software designers use to reason about medium to large sized problems and points out where you can learn specialized techniques in more detail. It provides practical advice. Software design decisions influence the architecture and vice versa. The approach in this book embraces drill-down/pop-up behavior by describing models that have various levels of abstraction, from architecture to data structure design.