Rails uses an object-relational mapping (ORM) approach to work with databases. Model classes represent tables in the database and are mapped to rows. Migrations are used to initialize the database structure, and models then allow objects to perform CRUD operations on rows through Active Record. This allows Rails to interact with all major SQL databases using an object-oriented interface.
A review of the state of the art in Machine Learning on the Semantic WebSimon Price
Paper presentation at UK Computation Intelligence workshop 2003, Bristol. This paper reviews the current state of the art of machine learning applied to the Semantic Web. It looks at the Semantic Web and its languages, including RDF and OWL, from a machine learning perspective. Trends in the Semantic Web are mentioned throughout and the relationship with Web Services is examined. Applications are discussed with recent examples and pointers to data sets. Finally, the emerging field of Semantic Web Mining is introduced.
Selecting the right database type for your knowledge management needs.Synaptica, LLC
This presentation looks at relational vs. graph databases and their advantages and disadvantages in storing semantic data for taxonomies and ontologies.
First Steps in Semantic Data Modelling and Search & Analytics in the CloudOntotext
This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.
A review of the state of the art in Machine Learning on the Semantic WebSimon Price
Paper presentation at UK Computation Intelligence workshop 2003, Bristol. This paper reviews the current state of the art of machine learning applied to the Semantic Web. It looks at the Semantic Web and its languages, including RDF and OWL, from a machine learning perspective. Trends in the Semantic Web are mentioned throughout and the relationship with Web Services is examined. Applications are discussed with recent examples and pointers to data sets. Finally, the emerging field of Semantic Web Mining is introduced.
Selecting the right database type for your knowledge management needs.Synaptica, LLC
This presentation looks at relational vs. graph databases and their advantages and disadvantages in storing semantic data for taxonomies and ontologies.
First Steps in Semantic Data Modelling and Search & Analytics in the CloudOntotext
This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.
Multi-Model Data Query Languages and Processing ParadigmsJiaheng Lu
Specifying users' interests with a formal query language is a typically challenging task, which becomes even harder in the context of multi-model data management because we have to deal with data variety. It usually lacks a unified schema to help the users issuing their queries, or has an incomplete schema as data come from disparate sources. Multi-Model DataBases (MMDBs) have emerged as a promising approach for dealing with this task as they are capable of accommodating and querying the multi-model data in a single system. This tutorial aims to offer a comprehensive presentation of a wide range of query languages for MMDBs and to make comparisons of their properties from multiple perspectives. We will discuss the essence of cross-model query processing and provide insights on the research challenges and directions for future work. The tutorial will also offer the participants hands-on experience in applying MMDBs to issue multi-model data queries.
Geek Sync | Data in the Cloud: Understanding Amazon Database Services with Vi...IDERA Software
You can watch the replay for this Geek Sync webcast, Data in the Cloud: Understanding Amazon Database Services with Visual Models, in the IDERA Resource Center, http://ow.ly/QYVj50A4qkv.
As a data professional, you understand that a data model is primarily used for designing databases. But as more databases move up to the cloud, data modeling can also serve as a visual approach to capture concepts and relationships for database services, such as Amazon RDS, Aurora, and Redshift. Data models can demystify the complexities perceived and associated with managing and modeling cloud databases. Henry Nirsberger will show you how conceptual data models for Amazon database services can clarify confusion and accelerate an understanding of these complex offerings.
Speaker: Henry Nirsberger (CDMP, CBIP) is the author of “A Conceptual Data Model for Amazon EC2” and CEO of HMN Consulting LLC, providing IT consulting services specializing in Data Management, Enterprise Architecture, Cloud, Facilitation, and IT Leadership. As a trained facilitator, he has facilitated over 600 IT design and planning sessions for data modeling, process modeling, database design, project planning, process improvement, requirements consensus, strategy planning, issues management, and team building. He continues to be an unremitting student of data modeling, cloud computing, enterprise architecture, and all aspects of data management. His certifications include CDMP (DAMA), CBIP (TDWI), CDP-DM (ICCP), CFPIM (APICS 1984–2003) and TOGAF 9.
Invited seminar for UIUC's IS 575 class on metadata in theory and practice, about structural metadata practice in RDF/LOD. Touches on OAI-ORE, PCDM, Annotation, IIIF and Linked Art. Challenges explored are graph boundaries, APIs and context specific metadata.
Essentials for the SharePoint Power User - SharePoint Engage Raleigh 2017Drew Madelung
Are you a newly minted site owner and you want to know how to get started? Or did your company just roll out SharePoint and you want to learn more about what it can do?
In this session, I will walk through what I believe Power Users need to know when they become site administrators, champions, ninjas, or owners. I will be going through things at an overview level. I will go into detail on some areas in which I have seen the biggest gaps while working with different companies. This session will go through such things as:
• How security works and how you should manage it
• Intro to libraries & lists
• Managing content types and columns
• Get better search driven content
• Building a page with search driven web parts
Presentació del projecte europeu ECHOES duta a terme el 28 de juny de 2018 a Leiden (Holanda), on el CSUC ha mostrat els objectius i principals característiques del projecte a empreses tecnològiques holandeses.
Multi-Model Data Query Languages and Processing ParadigmsJiaheng Lu
Specifying users' interests with a formal query language is a typically challenging task, which becomes even harder in the context of multi-model data management because we have to deal with data variety. It usually lacks a unified schema to help the users issuing their queries, or has an incomplete schema as data come from disparate sources. Multi-Model DataBases (MMDBs) have emerged as a promising approach for dealing with this task as they are capable of accommodating and querying the multi-model data in a single system. This tutorial aims to offer a comprehensive presentation of a wide range of query languages for MMDBs and to make comparisons of their properties from multiple perspectives. We will discuss the essence of cross-model query processing and provide insights on the research challenges and directions for future work. The tutorial will also offer the participants hands-on experience in applying MMDBs to issue multi-model data queries.
Geek Sync | Data in the Cloud: Understanding Amazon Database Services with Vi...IDERA Software
You can watch the replay for this Geek Sync webcast, Data in the Cloud: Understanding Amazon Database Services with Visual Models, in the IDERA Resource Center, http://ow.ly/QYVj50A4qkv.
As a data professional, you understand that a data model is primarily used for designing databases. But as more databases move up to the cloud, data modeling can also serve as a visual approach to capture concepts and relationships for database services, such as Amazon RDS, Aurora, and Redshift. Data models can demystify the complexities perceived and associated with managing and modeling cloud databases. Henry Nirsberger will show you how conceptual data models for Amazon database services can clarify confusion and accelerate an understanding of these complex offerings.
Speaker: Henry Nirsberger (CDMP, CBIP) is the author of “A Conceptual Data Model for Amazon EC2” and CEO of HMN Consulting LLC, providing IT consulting services specializing in Data Management, Enterprise Architecture, Cloud, Facilitation, and IT Leadership. As a trained facilitator, he has facilitated over 600 IT design and planning sessions for data modeling, process modeling, database design, project planning, process improvement, requirements consensus, strategy planning, issues management, and team building. He continues to be an unremitting student of data modeling, cloud computing, enterprise architecture, and all aspects of data management. His certifications include CDMP (DAMA), CBIP (TDWI), CDP-DM (ICCP), CFPIM (APICS 1984–2003) and TOGAF 9.
Invited seminar for UIUC's IS 575 class on metadata in theory and practice, about structural metadata practice in RDF/LOD. Touches on OAI-ORE, PCDM, Annotation, IIIF and Linked Art. Challenges explored are graph boundaries, APIs and context specific metadata.
Essentials for the SharePoint Power User - SharePoint Engage Raleigh 2017Drew Madelung
Are you a newly minted site owner and you want to know how to get started? Or did your company just roll out SharePoint and you want to learn more about what it can do?
In this session, I will walk through what I believe Power Users need to know when they become site administrators, champions, ninjas, or owners. I will be going through things at an overview level. I will go into detail on some areas in which I have seen the biggest gaps while working with different companies. This session will go through such things as:
• How security works and how you should manage it
• Intro to libraries & lists
• Managing content types and columns
• Get better search driven content
• Building a page with search driven web parts
Presentació del projecte europeu ECHOES duta a terme el 28 de juny de 2018 a Leiden (Holanda), on el CSUC ha mostrat els objectius i principals característiques del projecte a empreses tecnològiques holandeses.
6. Database (DB): Organized collection of data
Database Management System (DBMS):
Controls the creation, maintenance, and
use of a DB
Examples:
PostgreSQL
10. Two key aspects of a DBMS
• Database model: How DB is structured and used
– Examples: Relational, Object-Oriented, Hierarchical
• Query language: Types of questions you can ask
– Examples: SQL, XQuery
Relational model + SQL is most common
and used by Rails
12. Example Tables
id first_name last_name year_born
1 Ayn Rand 1905
2 Peter Benchley 1940
id publisher_name
1 Bobbs Merrill
2 Random House
authors
publishers
13. How Apps Use DBs
• Pre-deployment of app:
– Create (empty) tables
• Rails migrations do this
– Maybe “seed” with data
• At runtime of app:
– CRUD table rows
• Rails model classes do this
• NOTE: Tables/columns don’t change
15. Example SELECT Queries
• SELECT * FROM authors
• SELECT * FROM authors WHERE year_born > 1910
• SELECT * FROM authors WHERE last_name REGEXP '[a-r]*'
• SELECT * FROM authors WHERE last_name REGEXP '[a-r]*'
ORDER BY last_name ASC
For complete MySQL documentation, see http://dev.mysql.com/doc/refman/5.5/en/select.html,
http://dev.mysql.com/doc/refman/5.5/en/pattern-matching.html
id first_name last_name year_born
1 Ayn Rand 1905
2 Peter Benchley 1940
authors
18. Quick Intro to UML Class Diagrams
• I use UML class diagrams a lot
• Rationale: Easier to see “big picture” relationships
than in code
• Example model class:
first_name : string
last_name : string
year_born : integer
Author
Box = class
Class name
Attributes w/ types
20. Example Mapping from Class to Table
id first_name last_name year_born
1 Ayn Rand 1905
2 Peter Benchley 1940
authors
first_name : string
last_name : string
year_born : integer
Author
You get ID
for free
23. id first_name last_name year_born
1 Ayn Rand 1905
2 Peter Benchley 1940
authors
first_name : string
last_name : string
year_born : integer
Author
Model
DB
Migrations
See the Demos-n-Deets for
How This ORM Is Applied in
Rails Model Programming
24. Summary
• Rails Model Components
• DBs and DBMSs
• Rails DB Migrations
• Rails ORM
http://flic.kr/p/aCLor3