BioAssay Research Database Presentation at the Chem Axon UGM 2013Andrea de Souza
油
The BARD platform aims to enable researchers to effectively use data from the Molecular Libraries Program (MLP) to generate new hypotheses. It provides tools for assay registration, querying and visualization of over 4,000 assays, 35 million compounds and 300 projects. These include intuitive guided queries, cross-assay views, and predictive models. The platform structures data using an Assay Definition Standard to integrate ontologies and represent assay metadata, results and experiments. This supports knowledge discovery and hypothesis generation from diverse chemical biology datasets.
Using Social Media To Advance Your CareerKelly Lux
油
This document provides information on using social media to advance one's career. It discusses using LinkedIn to build professional connections and demonstrate skills, using Twitter to follow thought leaders and stay updated, and using blogs to share updates and network. The document encourages actively engaging on these platforms, researching companies online, and leveraging social media connections in the job search process.
This document proposes an agile modeling technique using the sixth normal form to model structurally and temporally evolving data. The technique allows all previous versions of the schema to remain present without modification, allowing extensions to be made online. Data loading and querying are simplified through templates that require minimal changes to integrate new tables. The proposed anchoring modeling technique aims to provide ease of modeling, simplified maintenance, high performance, and other benefits for temporal data modeling challenges.
The document discusses different types of databases and database applications, including numeric/textual databases, multimedia databases, geographic information systems, data warehouses, and real-time databases. It also defines key database concepts such as database, data, mini-world, and database management system. Database systems are used to store and manage large volumes of structured data and provide functionality for defining data structures, querying and manipulating data, concurrent access, security, and more. Examples of database applications include a university student information system and a large tax filing database.
The document describes a proposed database for a Makerspace called the Makerspace Database. The database would store and organize a wide range of interactive projects for makers and makerspaces. It would allow users to search projects by attributes, upload projects, rate projects, and discover popular projects. The database design includes tables for projects, instructions, subjects, authors, tags, types, and member accounts. Security measures like passwords, encryption, and blocking/limiting users would protect privacy and safe interactions.
This document discusses the acceleration of change over time and how traditional database and data modeling approaches struggle to keep up with frequent changes. It introduces Anchor Modeling as an agile modeling technique that fully supports evolving data environments by preserving all previous versions and changes over time. Anchor Modeling allows for multiple perspectives on data, complete history tracking, and easy adaptation to change.
The document describes the Anchor Modeling technique, which allows for temporal modeling of information. Some key points:
1) Anchor Modeling structures information using anchors to represent identities, knots for value domains, attributes for property values, and ties for relationships between entities. This allows modeling of information temporally.
2) The technique models information based on what is known, rather than guessing, and allows information to evolve over time as more becomes known.
3) It facilitates "time travel" to view information as it was known at different points in time in the past or may be in the future. This includes considering different perspectives or future scenarios.
This document defines and describes several types of databases. It discusses document-oriented databases, which store semi-structured data like documents; embedded databases, which consist of individual end-user data; graph databases, which use graph structures to represent information; hypertext databases, which organize large amounts of disparate information; operational databases, which store detailed organizational operations data; distributed databases, which store data across multiple interconnected computers; and flat-file databases, which are suited for small amounts of manually editable data.
Google Ranking Factors 2014: Correlations, Testing, & HypothesesRand Fishkin
油
Rand Fishkin's presentation from the SMX Munich Ranking Factors session on correlations seen with higher Google rankings, testing of anchor text, and some hypotheses about potential future ranking factors.
The document discusses key concepts related to databases and database management systems. It defines a database as a collection of organized data and a database management system as a computer program that allows for creating, accessing, managing and controlling databases. It describes three common data models - relational, network and hierarchical - and explains some fundamental database concepts like tables, keys, relations and normalization.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
BioAssay Research Database Presentation at the Chem Axon UGM 2013Andrea de Souza
油
The BARD platform aims to enable researchers to effectively use data from the Molecular Libraries Program (MLP) to generate new hypotheses. It provides tools for assay registration, querying and visualization of over 4,000 assays, 35 million compounds and 300 projects. These include intuitive guided queries, cross-assay views, and predictive models. The platform structures data using an Assay Definition Standard to integrate ontologies and represent assay metadata, results and experiments. This supports knowledge discovery and hypothesis generation from diverse chemical biology datasets.
Using Social Media To Advance Your CareerKelly Lux
油
This document provides information on using social media to advance one's career. It discusses using LinkedIn to build professional connections and demonstrate skills, using Twitter to follow thought leaders and stay updated, and using blogs to share updates and network. The document encourages actively engaging on these platforms, researching companies online, and leveraging social media connections in the job search process.
This document proposes an agile modeling technique using the sixth normal form to model structurally and temporally evolving data. The technique allows all previous versions of the schema to remain present without modification, allowing extensions to be made online. Data loading and querying are simplified through templates that require minimal changes to integrate new tables. The proposed anchoring modeling technique aims to provide ease of modeling, simplified maintenance, high performance, and other benefits for temporal data modeling challenges.
The document discusses different types of databases and database applications, including numeric/textual databases, multimedia databases, geographic information systems, data warehouses, and real-time databases. It also defines key database concepts such as database, data, mini-world, and database management system. Database systems are used to store and manage large volumes of structured data and provide functionality for defining data structures, querying and manipulating data, concurrent access, security, and more. Examples of database applications include a university student information system and a large tax filing database.
The document describes a proposed database for a Makerspace called the Makerspace Database. The database would store and organize a wide range of interactive projects for makers and makerspaces. It would allow users to search projects by attributes, upload projects, rate projects, and discover popular projects. The database design includes tables for projects, instructions, subjects, authors, tags, types, and member accounts. Security measures like passwords, encryption, and blocking/limiting users would protect privacy and safe interactions.
This document discusses the acceleration of change over time and how traditional database and data modeling approaches struggle to keep up with frequent changes. It introduces Anchor Modeling as an agile modeling technique that fully supports evolving data environments by preserving all previous versions and changes over time. Anchor Modeling allows for multiple perspectives on data, complete history tracking, and easy adaptation to change.
The document describes the Anchor Modeling technique, which allows for temporal modeling of information. Some key points:
1) Anchor Modeling structures information using anchors to represent identities, knots for value domains, attributes for property values, and ties for relationships between entities. This allows modeling of information temporally.
2) The technique models information based on what is known, rather than guessing, and allows information to evolve over time as more becomes known.
3) It facilitates "time travel" to view information as it was known at different points in time in the past or may be in the future. This includes considering different perspectives or future scenarios.
This document defines and describes several types of databases. It discusses document-oriented databases, which store semi-structured data like documents; embedded databases, which consist of individual end-user data; graph databases, which use graph structures to represent information; hypertext databases, which organize large amounts of disparate information; operational databases, which store detailed organizational operations data; distributed databases, which store data across multiple interconnected computers; and flat-file databases, which are suited for small amounts of manually editable data.
Google Ranking Factors 2014: Correlations, Testing, & HypothesesRand Fishkin
油
Rand Fishkin's presentation from the SMX Munich Ranking Factors session on correlations seen with higher Google rankings, testing of anchor text, and some hypotheses about potential future ranking factors.
The document discusses key concepts related to databases and database management systems. It defines a database as a collection of organized data and a database management system as a computer program that allows for creating, accessing, managing and controlling databases. It describes three common data models - relational, network and hierarchical - and explains some fundamental database concepts like tables, keys, relations and normalization.
A database is a collection of data that can be used alone or combined to answer users' questions. A database management system (DBMS) provides programs to manage databases, control data access, and include a query language. When designing a database, it is important to structure the data so that specific records can be easily accessed, the database can respond to different questions, minimal storage is used, and redundant data is avoided. Key concepts in database design include entities, attributes, records, primary keys, foreign keys, and relationships between tables.
SE2016 Management Mikhail Lebedinkiy "iAIST the first pure ukrainian corporat...Inhacking
油
Event: #SE2016
Stage: Management & Trends
Data: 2 of September 2016
Speaker: Mikhail Lebedinkiy
Topic: iAIST the first pure Ukrainian corporate ERP and BI cloud service
INHACKING site: https://inhacking.com
SE2016 site: http://se2016.inhacking.com/
CISLink Data Tracing Service allows the manufacturer to provide a detailed collection of reports (sell in|out) in the distribution network and data consolidation at the central office for analysis.