Structured Search for Big Data

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  • Author : Mikhail Gilula
  • Publisher : Morgan Kaufmann
  • Pages : 114 pages
  • ISBN : 012804652X
  • Rating : /5 from reviews
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Download or Read online Structured Search for Big Data full in PDF, ePub and kindle. this book written by Mikhail Gilula and published by Morgan Kaufmann which was released on 26 August 2015 with total page 114 pages. We cannot guarantee that Structured Search for Big Data book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

Structured Search for Big Data

Structured Search for Big Data
  • Author : Mikhail Gilula
  • Publisher : Morgan Kaufmann
  • Release : 26 August 2015
GET THIS BOOK Structured Search for Big Data

The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information

Structured Search for Big Data

Structured Search for Big Data
  • Author : Mikhail Gilula
  • Publisher : Morgan Kaufmann
  • Release : 28 August 2015
GET THIS BOOK Structured Search for Big Data

The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information

Semantic Keyword Based Search on Structured Data Sources

Semantic Keyword Based Search on Structured Data Sources
  • Author : Andrea Calì,Dorian Gorgan,Martín Ugarte
  • Publisher : Springer
  • Release : 13 February 2017
GET THIS BOOK Semantic Keyword Based Search on Structured Data Sources

This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised full papers and 2 invited papers are reviewed and selected from 18 initial submissions and cover the areas of keyword extraction, natural language searches, graph databases, information retrieval techniques for keyword search and document retrieval.

Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing

Challenges and Opportunities for the Convergence of IoT  Big Data  and Cloud Computing
  • Author : Velayutham, Sathiyamoorthi
  • Publisher : IGI Global
  • Release : 29 January 2021
GET THIS BOOK Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and

Engineering the Web in the Big Data Era

Engineering the Web in the Big Data Era
  • Author : Philipp Cimiano,Flavius Frasincar,Geert-Jan Houben,Daniel Schwabe
  • Publisher : Springer
  • Release : 09 June 2015
GET THIS BOOK Engineering the Web in the Big Data Era

This book constitutes the refereed proceedings of the 15th International Conference on Web Engineering, ICWE 2015, held in Rotterdam, The Netherlands, in June 2015. The 26 full research papers, 11 short papers, 7 industry papers, 11 demonstrations, 6 posters and 4 contributions to the PhD symposium presented were carefully reviewed and selected from 100 submissions. Moreover 2 tutorials are presented. The papers focus on eight tracks, namely Web application modeling and engineering; mobile Web applications; social Web applications; semantic Web applications; quality and accessibility aspects of Web applications; Web applications

Cognitive Computing for Big Data Systems Over IoT

Cognitive Computing for Big Data Systems Over IoT
  • Author : Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram
  • Publisher : Springer
  • Release : 30 December 2017
GET THIS BOOK Cognitive Computing for Big Data Systems Over IoT

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms

Neural Search From Prototype to Production with Jina

Neural Search   From Prototype to Production with Jina
  • Author : Bo Wang,Cristian Mitroi,Feng Wang,Shubham Saboo,Susana Guzman
  • Publisher : Packt Publishing Ltd
  • Release : 14 October 2022
GET THIS BOOK Neural Search From Prototype to Production with Jina

Implement neural search systems on the cloud by leveraging Jina design patterns Key Features Identify the different search techniques and discover applications of neural search Gain a solid understanding of vector representation and apply your knowledge in neural search Unlock deeper levels of knowledge of Jina for neural search Book Description Search is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural

Social Networks and Questions of Big Data Graph search for communities with corresponding keywords

Social Networks and Questions of Big Data  Graph search for communities with corresponding keywords
  • Author : Andrea Attwenger
  • Publisher : GRIN Verlag
  • Release : 27 June 2017
GET THIS BOOK Social Networks and Questions of Big Data Graph search for communities with corresponding keywords

Seminar paper from the year 2017 in the subject Computer Science - Internet, New Technologies, grade: 1.3, LMU Munich (Institut für Informatik), course: Recent Developments in Data Science, language: English, abstract: This essay deals with a graph search for communities with corresponding keywords. The era of big data and world-spanning social networks has highlighted the necessity of ways to make sense of this vast amount of information. Data can be arranged in a graph of connected vertices, therefore giving it a

Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 20 April 2016
GET THIS BOOK Big Data Concepts Methodologies Tools and Applications

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within

Web Age Information Management

Web Age Information Management
  • Author : Lei Chen,Changjie Tang,Jun Yang,Yunjun Gao
  • Publisher : Springer Science & Business Media
  • Release : 30 June 2010
GET THIS BOOK Web Age Information Management

Lecture Notes in Computer Science The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology

Big Data Management and Processing

Big Data Management and Processing
  • Author : Kuan-Ching Li,Hai Jiang,Albert Y. Zomaya
  • Publisher : CRC Press
  • Release : 19 May 2017
GET THIS BOOK Big Data Management and Processing

From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore

Big Data

Big Data
  • Author : Fei Hu
  • Publisher : CRC Press
  • Release : 27 April 2016
GET THIS BOOK Big Data

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Big Data of Complex Networks

Big Data of Complex Networks
  • Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl,Andreas Holzinger
  • Publisher : CRC Press
  • Release : 19 August 2016
GET THIS BOOK Big Data of Complex Networks

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of

Big Data Analytics Methods

Big Data Analytics Methods
  • Author : Peter Ghavami
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 16 December 2019
GET THIS BOOK Big Data Analytics Methods

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data,