000			06802cam a2200589Ii 4500
001			ocn919611880
003			OCoLC
005			20190328114812.0
006			m o d
007			cr cnu|||unuuu
008			150902s2016 mau o 000 0 eng d
010			_a 2017288144
040			_aN$T _beng _erda _epn _cN$T _dIDEBK _dN$T _dYDXCP _dUIU _dOCLCF _dOCLCQ _dU3W _dD6H _dAU@ _dWYU _dOCLCQ _dVT2
019			_a919565111 _a1066692190 _a1088970860
020			_a9780128046524 _q(electronic bk.)
020			_a012804652X _q(electronic bk.)
020			_z9780128046319
020			_z0128046317
035			_a(OCoLC)919611880 _z(OCoLC)919565111 _z(OCoLC)1066692190 _z(OCoLC)1088970860
050		4	_aQA76.9.B45
072		7	_aCOM _x000000 _2bisacsh
072		7	_aCOM _x021000 _2bisacsh
082	0	4	_a005.7 _223
100	1		_aGilula, Mikhail, _eauthor.
245	1	0	_aStructured search for big data : from keywords to key-objects / _h[electronic resource] _cMikhail Gilula.
264		1	_aWaltham, MA : _bMorgan Kaufmann, _c2016
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
588	0		_aVendor-supplied metadata.
520			_aThe 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.
505	0		_aMachine generated contents note: ch. 1 Introduction to Structured Search -- 1.1. Limitations of Keyword Search -- 1.2. Keyword Search in E-Commerce -- 1.3. Limitations of Database Search -- 1.4. What is Structured Search? -- ch. 2 Key-Objects vs. Keywords -- 2.1. Introducing Key-Objects -- 2.2. Mary's Printer -- 2.3. Key-Objects and Instances -- 2.3.1. Key-Objects -- 2.3.2. Key-Object Instances -- 2.4. Catalogs and Query Expansion -- 2.4.1. Querying via Key-Objects -- 2.4.2. More Query Examples -- 2.4.3. Catalogs With Relations -- 2.4.4. Query Expansion -- ch. 3 Key-Object Data Model -- 3.1. Key-Objects as Hereditarily-Finite Sets -- 3.2. Operations on Key-Objects -- 3.2.1. Key-Object Naming -- 3.2.2. Union -- 3.2.3. Intersection -- 3.2.4. Difference -- 3.2.5.Composition -- 3.2.6.Composition Naming Convention -- 3.3. Catalogs are Key-Objects -- 3.4. Instances as Hereditarily-Finite Sets -- 3.4.1. Multivalued Instances -- 3.4.2. Multiassumption -- 3.4.3. Flat Representation.
505	0		_aNote continued: 3.5. Operations on Key-Object Instances -- 3.5.1.Composition -- 3.5.2. Projection -- 3.5.3. Restriction -- 3.6. Data Stores -- 3.6.1. Heterogeneous, Homogeneous, and Flat Stores -- 3.6.2.Comparison with Relational Model -- 3.7. Operations on Stores -- 3.7.1. Union -- 3.7.2. Intersection -- 3.7.3. Difference -- 3.7.4. Filtering -- 3.7.5. Restriction -- 3.7.6. Projection -- 3.7.7. Product -- 3.7.8. Join -- ch. 4 Structured Search Framework -- 4.1. Introduction -- 4.2. Principles -- 4.2.1. Facts, not Documents -- 4.2.2. Query Independence -- 4.2.3. Search Scalability -- 4.2.4. Precision Control -- 4.2.5. Output Order Control -- 4.2.6. Not Only for Humans -- 4.2.7. Real-Time Access -- 4.2.8. Security Control -- 4.3. General Framework -- 4.3.1. Basic Functions -- 4.3.2. Queries and Responses: Q-Format and R-Format -- 4.3.3. Catalogs as Federating Namespaces -- 4.3.4. Data Providers -- 4.3.5. Adding and Removing Data Providers -- 4.3.6. Bus and Subscription Modes.
505	0		_aNote continued: 4.3.7. Query Processing by Data Providers -- 4.3.8. Query Origination -- 4.3.9. Federative and Native Data Manipulation -- 4.3.10. Query Independence, Scalability, and Security -- 4.4. Data Store Functionality -- 4.4.1. Catalog Management -- 4.4.2. Store Manipulation -- ch. 5 Introduction to KeySQL -- 5.1. Overview -- 5.1.1. CML and SML -- 5.1.2. Federative and Native Sublanguages -- 5.2. Catalog Management Language -- 5.2.1. Create Catalog -- 5.2.2. Drop Catalog -- 5.2.3. Create Atomic Keyobject -- 5.2.4. Drop Atomic Keyobject -- 5.2.5. Create Nonatomic Keyobject -- 5.2.6. Drop Nonatomic Keyobject -- 5.2.7. Create Synonymy -- 5.2.8. Add To Synonymy -- 5.2.9. Remove From Synonymy -- 5.2.10. Drop Synonymy -- 5.3. Store Manipulation Language -- 5.3.1. Syntax of Key-Object Instances -- 5.3.2. Json Representation of Instances -- 5.3.3. Federative SELECT -- 5.3.4. Create Store -- 5.3.5. Drop Store -- 5.3.6. Native Select -- 5.3.7. Insert -- 5.3.8. Update -- 5.3.9. Delete.
505	0		_aNote continued: 5.3.10. Create Store As Select -- 5.3.11. Insert Select -- 5.4. Show Statements -- 5.4.1. Show Atomic Keyobject -- 5.4.2. Show Nonatomic Keyobject -- 5.4.3. Show Catalog -- 5.4.4. Show Synonymy Relation -- 5.4.5. Show Keyobjects In Store -- ch. 6 Structured Search on Database Landscape -- 6.1. Questions and Topics -- 6.2. Key-Objects and Object-Oriented Programming Paradigm -- 6.3. Key-Objects and Object-Oriented Databases -- 6.4. KeySQL and NoSQL -- 6.5. Query Independence and Data Independence -- 6.6. KeySQL and MPP Architectures -- ch. 7 Structured Search Solutions -- 7.1.E-Commerce Applications -- 7.1.1. Saving Millions of Hours to Shoppers -- 7.1.2. Optimizing and Energizing Marketplace -- 7.1.3. Structured Search Advertising -- 7.1.4. Mobile E-Commerce -- 7.1.5. BayZon Marketplace -- 7.1.6. BinYahGoo Search Portal -- 7.2. Secure Federated System -- 7.3. Native KeySQL Systems -- 7.3.1. Healthcare Information Systems -- 7.3.2. Big Data Warehousing.
505	0		_aNote continued: 7.3.3. KeySQL on MapReduce Clusters -- 7.4. Structured Search in Internet Evolution -- 7.4.1. Internet as Data Store.
650		0	_aBig data.
650		0	_aInternet searching.
650		0	_aDatabase searching.
650		0	_aKeyword searching.
650		7	_aCOMPUTERS _xGeneral. _2bisacsh
650		7	_aCOMPUTERS _xDatabase Management _xGeneral. _2bisacsh
650		7	_aBig data. _2fast _0(OCoLC)fst01892965
650		7	_aDatabase searching. _2fast _0(OCoLC)fst00888058
650		7	_aInternet searching. _2fast _0(OCoLC)fst00977289
650		7	_aKeyword searching. _2fast _0(OCoLC)fst00987037
655		0	_aElectronic book.
655		4	_aElectronic books.
776	0	8	_iPrint version: _aGilula, Mikhail. _tStructured search for big data. _dWaltham, MA : Morgan Kaufmann, [2016] _z0128046317 _z9780128046319 _w(OCoLC)919343215
856	4	0	_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9780128046319
999			_c247153 _d247153