Structured search for big data : from keywords to key-objects
(eBook)
Author
Published
Waltham, MA : Morgan Kaufmann, [2016].
Format
eBook
ISBN
012804652X, 9780128046524
Physical Desc
1 online resource
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Language
English
Notes
Description
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.
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Citations
APA Citation, 7th Edition (style guide)
Gilula, M. (2016). Structured search for big data: from keywords to key-objects . Morgan Kaufmann.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Gilula, Mikhail. 2016. Structured Search for Big Data: From Keywords to Key-objects. Morgan Kaufmann.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Gilula, Mikhail. Structured Search for Big Data: From Keywords to Key-objects Morgan Kaufmann, 2016.
MLA Citation, 9th Edition (style guide)Gilula, Mikhail. Structured Search for Big Data: From Keywords to Key-objects Morgan Kaufmann, 2016.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
d425720f-6076-941f-6894-6208f5877c52-eng
Grouping Information
| Grouped Work ID | d425720f-6076-941f-6894-6208f5877c52-eng |
|---|---|
| Full title | structured search for big data from keywords to key objects |
| Author | gilula mikhail |
| Grouping Category | book |
| Last Update | 2024-09-06 16:31:08PM |
| Last Indexed | 2024-09-14 04:09:55AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Aug 29, 2024 |
| Last Used | Sep 18, 2024 |
Marc Record
| First Detected | Jul 29, 2024 04:01:52 PM |
|---|---|
| Last File Modification Time | Sep 06, 2024 04:36:21 PM |
MARC Record
| LEADER | 07083cam a2200505 i 4500 | ||
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| 245 | 1 | 0 | |a Structured search for big data :|b from keywords to key-objects /|c Mikhail Gilula. |
| 264 | 1 | |a Waltham, MA :|b Morgan Kaufmann,|c [2016] | |
| 300 | |a 1 online resource | ||
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| 505 | 0 | |a Machine 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 | |a Note 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 | |a Note 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 | |a Note 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 | |a Note continued: 7.3.3. KeySQL on MapReduce Clusters -- 7.4. Structured Search in Internet Evolution -- 7.4.1. Internet as Data Store. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Vendor-supplied metadata. | |
| 650 | 0 | |a Big data.|0 http://id.loc.gov/authorities/subjects/sh2012003227 | |
| 650 | 0 | |a Internet searching.|0 http://id.loc.gov/authorities/subjects/sh98006428 | |
| 650 | 0 | |a Database searching.|0 http://id.loc.gov/authorities/subjects/sh86007858 | |
| 650 | 0 | |a Keyword searching.|0 http://id.loc.gov/authorities/subjects/sh00001072 | |
| 650 | 0 | |a Querying (Computer science)|0 http://id.loc.gov/authorities/subjects/sh2005008252 | |
| 758 | |i has work:|a Structured search for big data (Text)|1 https://id.oclc.org/worldcat/entity/E39PCFVB8RftXTT98cvhj6bwFq|4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version:|a Gilula, Mikhail.|t Structured search for big data.|d Waltham, MA : Morgan Kaufmann, [2016]|z 0128046317|z 9780128046319|w (OCoLC)919343215 |
| 856 | 4 | 0 | |u https://www.aclib.us/OReilly |