Hash Algorithm Design For A Non Uniformly Distributed Database
DOWNLOAD
Download Hash Algorithm Design For A Non Uniformly Distributed Database PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Hash Algorithm Design For A Non Uniformly Distributed Database book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Hash Algorithm Design For A Non Uniformly Distributed Database
DOWNLOAD
Author : Christopher Jason Martinez
language : en
Publisher:
Release Date : 2008
Hash Algorithm Design For A Non Uniformly Distributed Database written by Christopher Jason Martinez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computer networks categories.
Grid Database Design
DOWNLOAD
Author : April J. Wells
language : en
Publisher: CRC Press
Release Date : 2005-05-26
Grid Database Design written by April J. Wells and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-26 with Computers categories.
Grid Database Design investigates the origin, background, and components of this new computing model. This book presents new concepts and analyzes pre-existing ideas in the context of Grid, educating organizations as to how Grid can increase their computing power and strengthen their operations. Divided into three sections, the volume begins
The Algorithm Design Manual
DOWNLOAD
Author : Steven S. Skiena
language : en
Publisher: Springer Nature
Release Date : 2020-10-05
The Algorithm Design Manual written by Steven S. Skiena and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-05 with Computers categories.
"My absolute favorite for this kind of interview preparation is Steven Skiena’s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ... graph problems are -- they should be part of every working programmer’s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. ... every 1 – pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types." (Steve Yegge, Get that Job at Google) "Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. ... Every programmer should read this book, and anyone working in the field should keep it close to hand. ... This is the best investment ... a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education) "It is wonderful to open to a random spot and discover an interesting algorithm. This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware) "The is the most approachable book on algorithms I have." (Megan Squire, Elon University) --- This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker's Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography. NEW to the third edition: -- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing -- Provides full online support for lecturers, including an improved website component with lecture slides and videos -- Full color illustrations and code instantly clarify difficult concepts -- Includes several new "war stories" relating experiences from real-world applications -- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank. -- Provides up-to-date links leading to the best implementations available in C, C++, and Java Additional Learning Tools: -- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them -- Exercises include "job interview problems" from major software companies -- Highlighted "take home lessons" emphasize essential concepts -- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject -- Many algorithms are presented with actual code (written in C) -- Provides comprehensive references to both survey articles and the primary literature Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.
Algorithm And Data Structures
DOWNLOAD
Author : M.M Raghuwanshi
language : en
Publisher: ALPHA SCIENCE INTERNATIONAL LIMITED
Release Date : 2016-01-05
Algorithm And Data Structures written by M.M Raghuwanshi and has been published by ALPHA SCIENCE INTERNATIONAL LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-05 with Computers categories.
ALGORITHMS AND DATA STRUCTURES is primarily designed for use in a first undergraduate course on algorithms, but it can also be used as the basis for an introductory graduate course, for researchers, or computer professionals who want to get and sense for how they might be able to use particular data structure and algorithm design techniques in the context of their own work.The goal of this book is to convey this approach to algorithms, as a design process that begins with problems arising across the full range of computing applications, builds on an understanding of algorithm design techniques, and results in the development of efficient solutions to these problems. It seek to explore the role of algorithmic ideas in computer science generally, and relate these ideas to the range of precisely formulated problems for which we can design and analyze algorithm.
Improving Hash Join Performance By Exploiting Intrinsic Data Skew
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2005
Improving Hash Join Performance By Exploiting Intrinsic Data Skew written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Large relational databases are a part of all of our lives. The government uses them and almost any store you visit uses them to help process your purchases. Real-world data sets are not uniformly distributed and often contain significant skew. Skew is present in commercial databases where, for example, some items are purchased far more often than others. A relational database must be able to efficiently find related information that it stores. In large databases the most common method used to find related information is a hash join algorithm. Although mitigating the negative effects of skew on hash joins has been studied, no prior work has examined how the statistics present in modern database systems can allow skew to be exploited and used as an advantage to improve the performance of hash joins. This thesis presents Histojoin: a join algorithm that uses statistics to identify data skew and improve the performance of hash join operations. Experimental results show that for skewed data sets Histojoin performs significantly fewer I/O operations and is faster by 10 to 60% than standard hash join algorithms.
Design Of Hashing Algorithms
DOWNLOAD
Author : Josef Pieprzyk
language : en
Publisher: Springer
Release Date : 1993
Design Of Hashing Algorithms written by Josef Pieprzyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Algorithms categories.
This work presents recent developments in hashing algorithm design. Hashing is the process of creating a short digest (i.e., 64 bits) for a message of arbitrary length, for exam- ple 20 Mbytes. Hashing algorithms were first used for sear- ching records in databases; they are central for digital si- gnature applications and are used for authentication without secrecy. Covering all practical and theoretical issues related to the design of secure hashing algorithms the book is self contained; it includes an extensive bibliography on the topic.
An Introduction To Data Base Design
DOWNLOAD
Author : Betty Joan Salzberg
language : en
Publisher: Academic Press
Release Date : 2014-05-10
An Introduction To Data Base Design written by Betty Joan Salzberg and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Computers categories.
An Introduction to Data Base Design provides an understanding of how data base management systems (DBMS) work to be able to use any available commercial DBMS intelligently. This book presents the principle of independence of physical and local organization. Organized into seven chapters, this book begins with an overview of normal form theory. This text then describes the three types of DBMS. Other chapters consider the difficulties in processing queries where the names of the files are not mentioned. This book discusses as well how to group data hierarchically, how to use a preorder tree traversal to represent the data, and how to convert a network organization to a hierarchical one. The final chapter deals with four essential issues in data base theory, namely, recovery, security, integrity, and concurrency. This book is a valuable resource for computer science students in the junior or senior year, and people in industry who are doing technical work using data bases.
Data Structures
DOWNLOAD
Author :
language : en
Publisher: PediaPress
Release Date :
Data Structures written by and has been published by PediaPress this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Principles Of Distributed Database Systems
DOWNLOAD
Author : M. Tamer Özsu
language : en
Publisher: Springer Nature
Release Date : 2019-12-02
Principles Of Distributed Database Systems written by M. Tamer Özsu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-02 with Computers categories.
The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful. This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).
Machine Learning Design Patterns
DOWNLOAD
Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-10-15
Machine Learning Design Patterns written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-15 with Computers categories.
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly