The Associative Model of Data and Sentences. The Next Generation of Structured Data. Lazysoft. Copyright 2014 Lazysoft
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1 The Associative Model of Data and Sentences The Next Generation of Structured Data Lazysoft
2 Origin of Data Models Enabled computers to access data instantly Big Data V1.0
3 History of Data Models Network model Relational model Hierarchical model Object model
4 The Relational Model of Data Models data as tables ( relations ) One unique table for every different type of data
5 The Relational Model of Data Database Programmers Programs Programs are built around the data New applications need new programs Change accounts for 80% of software budgets
6 The Relational Model of Data 1980: First relational applications ~ 50 tables 2014: SAP ~ 25,000 tables Complexity has increased by 500
7 The Associative Model of Data Relational Model Associative Model When the logical structure of the data changes, the physical structure of the database in unaltered
8 The Associative Model of Data Lazysoft meets UBS time date venue location 2:00pm 12-Aug-14 1 Golden Lane Data comprises items and links A better model of reality it s how we think
9 The Associative Model of Data Lazysoft meets UBS time date venue location A link may connect: 2:00pm 12-Aug-14 1 Golden Lane Two items: Lazysoft meets UBS A link & an item: (Lazysoft meets UBS) date 12-Aug-14 Two links: (Lazysoft meets UBS) venue (UBS location 1 Golden Lane) Patented in the US and the UK Distinct from and superior to graph database
10 Ten Unique Business Benefits Develop applications at the speed of thought Change applications whilst they re in use Aggregate data sources without programming Configure features for individual users Instantly deploy to multiple UI platforms See a 360 view of every data item Record data provenance and confidence Record data about individual things Instantly view data as it was in the past Maintain business rules without programming
11 Programming with the Relational Model Check Name Check Address Check Country Check Postcode For each Line Check Item No Check Price Check Quantity Create Order Code is unique to each database
12 Programming with the Associative Model For each instance > Fetch type rules > For each attribute >> Fetch attribute rules >> Check attribute > Check instance > Create instance Commit all Code is abstract and reusable
13 Productivity through Abstraction Design execution Associative model READ CUST-MAST High-level Language PCB 54;72 PDT 23;34 Symbolic Language Machine Code
14 Schema Alongside Data Supplier meets Company time date venue location Time Date Location Schema is stored with data under concurrency control Applications may be changed whilst in use
15 360 View of Everything 8-Aug-13 meeting with Lazysoft joined on Mary Jones left on John Tree placed on Order Users have a 360 º view of every data item in the database
16 Changes are Additive All changes are accomplished by adding data No update-in-place Applies to both schema and data Data can be viewed as at any point in time Item deleted by Transaction effective Timestamp
17 User Views Company hosts event in City starting at on Date Time Core application User views User-specific profiles for tailored functionality, data masking
18 Data Provenance Simon Williams post-nominals FBCS verified by BCS confidence level recorded by Transaction % on by CITP :25:07.56 Mary Philips Data provenance can be configured to meet specialised requirements
19 Instance Data X maturity date Contract Jan-14 placed with special delivery options Allied Corp Quality, quantity Data can be stored about individual contracts etc Associative model has no concept of null
20 Associative Query Language Transitive closure Who are David Jones direct & indirect associates? David Jones knows Mary Kelly knows John King knows Janet White Group equivalence Instances may be inferred to be equivalent IBM equivalent to International Business Machines IBM Corporation Muhamma d Ibrahim Makkawi has alias Saif al- Adel
21 Platform Independence App design Sentences ios Android Windows 8 HTML5 Java /Surface Open source UI apps allow customisation
22 Working With Data Sources Integrated view across sources Sentences abstraction layer Local data Databases Data sources Excel SQL Server Oracle MySQL DB2 SAP Salesforce Share- Point Twitter Facebook
23 Working With Relational Data Relational data viewed through an associative lens Relational schema is mapped to associative schema Relationships are automatically inferred Normalised business objects are re-integrated Multiple data sources may be aggregated together Things in separate databases may be equivalent 360 view of relational data items Static mode with refresh or dynamic mode
24 Working With Data Sources Imported data Sentences ERP DB2 CRM MySQL HR SQL Server Finance Oracle Local data Budget Excel
25 ERP DB2 CRM MySQL Budget Excel Local data HR SQL Server Finance Oracle Imported data XML schema Reporting & Extract XML data XML Sentences CSS CSV Browsers Third party tools Databases
26 Ten Unique Business Benefits Develop applications at the speed of thought Change applications whilst they re in use Aggregate data sources without programming Configure features for individual users Instantly deploy to multiple UI platforms See a 360 view of every data item Record data provenance and confidence Record data about individual things Instantly view data as it was in the past Maintain business rules without programming
27 The US Navy s Verdict Independent opinion from the US Office of Naval Research: [The associative model] has numerous applications in military, intelligence communities, law-enforcement, homeland security, state and local governments to deal with asymmetric threats, deploy first responders, crisis management planning, and humanitarian aid response. The technology is equally compelling in commercial sector applications as it provides an environment to rapidly infer relationship and connect the right consumers to appropriate suppliers for wide-ranging services. Office of Naval Research SBIR Topic N Scalable, Secure Associative Database, May 2013
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