06721cam a2200565Ii 4500001001300000003000600013005001700019006001900036007001500055008004100070010001700111040009700128020003600225020003300261020001800294020001500312035007700327050001500404072002500419072002500444082001400469100003000483245010900513264004200622300002200664336002600686337002600712338003600738588003000774520060500804505099301409505099302402505100203395505098704397505013805384650001405522650002405536650002405560650002305584650003305607650005405640650004005694650005005734650005005784650004905834655002105883655002205904776015405926856007506080ocn919611880OCoLC20190328114812.0m     o  d        cr cnu|||unuuu150902s2016    mau     o     000 0 eng d  a  2017288144  aN$TbengerdaepncN$TdIDEBKdN$TdYDXCPdUIUdOCLCFdOCLCQdU3WdD6HdAU@dWYUdOCLCQdVT2  a9780128046524q(electronic bk.)  a012804652Xq(electronic bk.)  z9780128046319  z0128046317  a(OCoLC)919611880z(OCoLC)919565111z(OCoLC)1066692190z(OCoLC)1088970860 4aQA76.9.B45 7aCOMx0000002bisacsh 7aCOMx0210002bisacsh04a005.72231 aGilula, Mikhail,eauthor.10aStructured search for big data : from keywords to key-objects / h[electronic resource]cMikhail Gilula. 1aWaltham, MA :bMorgan Kaufmann,c2016  a1 online resource  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier0 aVendor-supplied metadata.  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.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.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.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.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.0 aNote continued: 7.3.3. KeySQL on MapReduce Clusters -- 7.4. Structured Search in Internet Evolution -- 7.4.1. Internet as Data Store. 0aBig data. 0aInternet searching. 0aDatabase searching. 0aKeyword searching. 7aCOMPUTERSxGeneral.2bisacsh 7aCOMPUTERSxDatabase ManagementxGeneral.2bisacsh 7aBig data.2fast0(OCoLC)fst01892965 7aDatabase searching.2fast0(OCoLC)fst00888058 7aInternet searching.2fast0(OCoLC)fst00977289 7aKeyword searching.2fast0(OCoLC)fst00987037 0aElectronic book. 4aElectronic books.08iPrint version:aGilula, Mikhail.tStructured search for big data.dWaltham, MA : Morgan Kaufmann, [2016]z0128046317z9780128046319w(OCoLC)919343215403ScienceDirectuhttp://www.sciencedirect.com/science/book/9780128046319