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 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

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  • Author : Mikhail Gilula
  • Publisher : Morgan Kaufmann
  • Pages : 114 pages
  • ISBN : 012804652X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKStructured Search for Big Data

Structured Search for Big Data

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

Big Data Analytics for Large-Scale Multimedia Search

Big Data Analytics for Large-Scale Multimedia Search
  • Author : Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris
  • Publisher : John Wiley & Sons
  • Release : 18 March 2019
GET THIS BOOKBig Data Analytics for Large-Scale Multimedia Search

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and

Big Data in Complex Systems

Big Data in Complex Systems
  • Author : Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
  • Publisher : Springer
  • Release : 02 January 2015
GET THIS BOOKBig Data in Complex Systems

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for

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 BOOKChallenges 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

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 BOOKSocial 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 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 BOOKBig 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

Enterprise Content and Search Management for Building Digital Platforms

Enterprise Content and Search Management for Building Digital Platforms
  • Author : Shailesh Kumar Shivakumar
  • Publisher : John Wiley & Sons
  • Release : 16 December 2016
GET THIS BOOKEnterprise Content and Search Management for Building Digital Platforms

Provides modern enterprises with the tools to create a robust digital platform utilizing proven best practices, practical models, and time-tested techniques Contemporary business organizations can either embrace the digital revolution—or be left behind. Enterprise Content and Search Management for Building Digital Platforms provides modern enterprises with the necessary tools to create a robust digital platform utilizing proven best practices, practical models, and time-tested techniques to compete in the today’s digital world. Features include comprehensive discussions on content strategy,

Data Science and Big Data Analytics

Data Science and Big Data Analytics
  • Author : EMC Education Services
  • Publisher : John Wiley & Sons
  • Release : 05 January 2015
GET THIS BOOKData Science and Big Data Analytics

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a

Hands-On Big Data Modeling

Hands-On Big Data Modeling
  • Author : James Lee,Tao Wei,Suresh Kumar Mukhiya
  • Publisher : Packt Publishing Ltd
  • Release : 30 November 2018
GET THIS BOOKHands-On Big Data Modeling

Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with expert techniques presented in this book Book Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have

Big Data, Big Analytics

Big Data, Big Analytics
  • Author : Michael Minelli,Michele Chambers,Ambiga Dhiraj
  • Publisher : John Wiley & Sons
  • Release : 27 December 2012
GET THIS BOOKBig Data, Big Analytics

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a

Planning for Big Data

Planning for Big Data
  • Author : Edd Wilder-James
  • Publisher : "O'Reilly Media, Inc."
  • Release : 12 March 2012
GET THIS BOOKPlanning for Big Data

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven. Written by O'Reilly Radar's experts on big data, this anthology describes: The

Big Data For Dummies

Big Data For Dummies
  • Author : Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
  • Publisher : John Wiley & Sons
  • Release : 02 April 2013
GET THIS BOOKBig Data For Dummies

Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why