SAP Sybase PowerDesigner software provides modeling tools that help improve business intelligence and information architecture. It establishes a 360-degree view of key information assets through metadata management. Impact analysis functionality reduces the risks and costs of changes. The software supports various modeling techniques including conceptual data modeling, logical data modeling, physical data modeling, and more. It also includes features like an enterprise glossary and repository.
The document discusses Master Data Services (MDS) in SQL Server 2012. It provides an overview of what MDS is, common problems it addresses, and its architecture. MDS allows organizations to map, manage, cleanse and organize master data across multiple applications and versions. The presentation then describes MDS capabilities and architecture in more detail, showing how it integrates with SQL Server and other tools to provide consistent, organized master data to various users and systems.
Microsoft SQL Server 2012 Master Data ServicesMark Ginnebaugh
Mark Gschwind, VP of Business Intelligence at DesignMind, gave a presentation on Master Data Services (MDS) in SQL Server 2012. He began with an overview of master data and its importance for central curation, quality management, and ease of access for business users. He then reviewed the key capabilities of MDS, including modeling, validation, stewardship, and integration. Gschwind demonstrated creating an MDS model, using the new Excel interface, business rules, and exposing MDS data to a data warehouse. He concluded with tips for successful MDS implementations such as starting small, engaging business users, and using the development environment.
This session was about Master Data Services and what it also could be used as - the client wanted an application to validate and submit warehouse inventories.
Introduccion a SQL Server Master Data ServicesEduardo Castro
En esta presentación hacemos una introducción a SQL Server 2008 R2 Master Data Services.
Saludos,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
http://sqlserverpedia.blogspot.com/
Getting started with Master Data Services 2012 Luis Figueroa
This document provides an overview of Master Data Services 2012. It discusses key concepts such as models, entities, attributes, hierarchies and collections. It also covers loading data into MDS, business rules and validations, and consuming master data. The presentation aims to introduce attendees to MDS and demonstrate how it can be used to consolidate master data from various sources into a central hub to standardize definitions across an enterprise.
Microsoft master data services mds overviewEugene Zozulya
Master data management (MDM) is a technology discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.
Master data management tools can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.
Microsoft Master Data Services (MDS) is the SQL Server solution for master data management. Master data management (MDM) describes the efforts made by an organization to discover and define non-transactional lists of data, with the goal of compiling maintainable master lists. An MDM project generally includes an evaluation and restructuring of internal business processes along with the implementation of MDM technology. The result of a successful MDM solution is reliable, centralized data that can be analyzed, resulting in better business decisions.
Other Master Data Services features include hierarchies, granular security, transactions, data versioning, and business rules.
Master Data Services includes the following components and tools:
- Master Data Services Configuration Manager, a tool you use to create and configure Master Data Services databases and web applications.
- Master Data Manager, a web application you use to perform administrative tasks (like creating a model or business rule), and that users access to update data.
- MDSModelDeploy.exe, a tool you use to create packages of your model objects and data so you can deploy them to other environments.
- Master Data Services web service, which developers can use to extend or develop custom solutions for Master Data Services.
Master Data Services - 2016 - Huntington BeachJeff Prom
Master Data Services (MDS) is a Microsoft solution for master data management that allows organizations to centrally manage shared data across multiple systems. MDS provides functionality for modeling data, managing hierarchies and relationships, ensuring data quality through business rules, and publishing master data to subscribing systems. The presentation provided an overview of MDS capabilities and demonstrated installation, configuration, modeling concepts, and key features through a live demo. Recent improvements in MDS 2016 including enhanced performance, security, and manageability were also highlighted.
This lesson covers creating a DQS knowledge base named "Suppliers" to be used for cleansing and matching supplier data. The following key tasks are covered:
1. Creating the Suppliers knowledge base and domains for fields to be cleansed and matched like "SupplierID".
2. Adding values to domains manually, by importing from Excel, or through knowledge discovery on sample data.
3. Setting domain rules to validate, correct, and standardize values.
4. Setting term relationships to standardize values like treating "Inc." as "Incorporated".
5. Specifying synonym values where one is the leading value used for cleansing.
6. Creating a composite "AddressValidation"
The document discusses Master Data Services (MDS) in SQL Server 2012. It provides an overview of what MDS is, common problems it addresses, and its architecture. MDS allows organizations to map, manage, cleanse and organize master data across multiple applications and versions. The presentation then describes MDS capabilities and architecture in more detail, showing how it integrates with SQL Server and other tools to provide consistent, organized master data to various users and systems.
Microsoft SQL Server 2012 Master Data ServicesMark Ginnebaugh
Mark Gschwind, VP of Business Intelligence at DesignMind, gave a presentation on Master Data Services (MDS) in SQL Server 2012. He began with an overview of master data and its importance for central curation, quality management, and ease of access for business users. He then reviewed the key capabilities of MDS, including modeling, validation, stewardship, and integration. Gschwind demonstrated creating an MDS model, using the new Excel interface, business rules, and exposing MDS data to a data warehouse. He concluded with tips for successful MDS implementations such as starting small, engaging business users, and using the development environment.
This session was about Master Data Services and what it also could be used as - the client wanted an application to validate and submit warehouse inventories.
Introduccion a SQL Server Master Data ServicesEduardo Castro
En esta presentación hacemos una introducción a SQL Server 2008 R2 Master Data Services.
Saludos,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
http://sqlserverpedia.blogspot.com/
Getting started with Master Data Services 2012 Luis Figueroa
This document provides an overview of Master Data Services 2012. It discusses key concepts such as models, entities, attributes, hierarchies and collections. It also covers loading data into MDS, business rules and validations, and consuming master data. The presentation aims to introduce attendees to MDS and demonstrate how it can be used to consolidate master data from various sources into a central hub to standardize definitions across an enterprise.
Microsoft master data services mds overviewEugene Zozulya
Master data management (MDM) is a technology discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.
Master data management tools can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.
Microsoft Master Data Services (MDS) is the SQL Server solution for master data management. Master data management (MDM) describes the efforts made by an organization to discover and define non-transactional lists of data, with the goal of compiling maintainable master lists. An MDM project generally includes an evaluation and restructuring of internal business processes along with the implementation of MDM technology. The result of a successful MDM solution is reliable, centralized data that can be analyzed, resulting in better business decisions.
Other Master Data Services features include hierarchies, granular security, transactions, data versioning, and business rules.
Master Data Services includes the following components and tools:
- Master Data Services Configuration Manager, a tool you use to create and configure Master Data Services databases and web applications.
- Master Data Manager, a web application you use to perform administrative tasks (like creating a model or business rule), and that users access to update data.
- MDSModelDeploy.exe, a tool you use to create packages of your model objects and data so you can deploy them to other environments.
- Master Data Services web service, which developers can use to extend or develop custom solutions for Master Data Services.
Master Data Services - 2016 - Huntington BeachJeff Prom
Master Data Services (MDS) is a Microsoft solution for master data management that allows organizations to centrally manage shared data across multiple systems. MDS provides functionality for modeling data, managing hierarchies and relationships, ensuring data quality through business rules, and publishing master data to subscribing systems. The presentation provided an overview of MDS capabilities and demonstrated installation, configuration, modeling concepts, and key features through a live demo. Recent improvements in MDS 2016 including enhanced performance, security, and manageability were also highlighted.
This lesson covers creating a DQS knowledge base named "Suppliers" to be used for cleansing and matching supplier data. The following key tasks are covered:
1. Creating the Suppliers knowledge base and domains for fields to be cleansed and matched like "SupplierID".
2. Adding values to domains manually, by importing from Excel, or through knowledge discovery on sample data.
3. Setting domain rules to validate, correct, and standardize values.
4. Setting term relationships to standardize values like treating "Inc." as "Incorporated".
5. Specifying synonym values where one is the leading value used for cleansing.
6. Creating a composite "AddressValidation"
Introduction to Microsoft’s Master Data Services (MDS)James Serra
Master Data Services is bundled with SQL Server 2012 to help resolve many of the Master Data Management issues that companies are faced with when integrating data. In this session, James will show an overview of Master Data Services 2012, including the out of the box Web UI, the highly developed Excel Add-in, and how to get started with loading MDS with your data.
Learn more about ER/Studio Data Architect and try it free at: http://embt.co/ERStudioDA
With round-trip database support, data architects using ER/Studio Data Architect have the power to easily reverse-engineer, compare and merge, and visually document data assets residing in diverse locations from data centers to mobile platforms. Enterprise data can be more effectively leveraged as a corporate asset, while compliance is supported for business standards and mandatory regulations -- essential factors in an organizational data governance program. A range of data sources are supported ranging from those residing on the cloud to data sources residing on mobile phones. A variety of database platforms, including traditional RDBMS and big data technologies such as MongoDB and Hadoop Hive, can be imported and integrated into shared models and metadata definitions.
Master Data Services (MDS) is a SQL Server solution that allows organizations to manage master lists of non-transactional reference data. The goal of MDS is to establish reliable, centralized master data that can be analyzed to support better business decisions. MDS includes tools for discovering, defining, and maintaining master data lists. It also integrates with Excel through an add-in to load, publish, and validate data.
This document provides an overview of Database Architechs, a consulting firm specializing in database architecture, design, and performance tuning. It describes the company's areas of expertise, including database architecture, data modeling, performance tuning, data warehousing, and high availability solutions. It also outlines Database Architechs' methodology, tools, team of experts, locations of operations, partners, clients, and benchmark results showing improvements in database performance and availability.
20100430 introduction to business objects data servicesJunhyun Song
This document provides an overview and agenda for a presentation on SAP BusinessObjects Data Services XI 3.0. It discusses how data integration and quality tools like Data Services can help address challenges around managing enterprise data by providing a single tool for data integration, quality management, and metadata management. The presentation agenda covers why effective information management is important, an introduction to Data Services, how metadata management impacts data lineage and trustworthiness, use cases for Data Services in SAP environments, and concludes with a wrap-up.
This document outlines an MDM architecture using SAP components, including SAP MDG for the master data repository, SAP Info Steward for metadata management, and SAP Data Services for data integration and quality. It recommends using Sybase PowerDesigner for data modeling, profiling data with SAP Info Steward, and leveraging SAP HANA for faster processing. The architecture utilizes SAP components for presentation, persistence, integration and processing of master data.
This document provides an overview of the services offered by Database Architechs, a consulting firm specializing in database architecture, design, and performance. They offer a wide range of database-focused consulting services including database architecture, design, performance tuning, data warehousing, high availability, and training. They have experience with all major database platforms and have helped large clients across various industries with their database needs.
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
T.N Simha is seeking a role that allows him to grow with a progressive organization and enhance his knowledge of latest technologies. He has over 3 years of experience working with SQL Server 2008/2012, SSIS, SSAS, SSRS and Power BI. He is committed to tasks and a quick learner who is flexible in all environments.
This document provides an overview of Data Quality Services (DQS) matching and Master Data Services (MDS). It discusses record matching, data issues that affect matching, the DQS matching process, and key components like the matching policy and knowledge base. It also introduces MDS and its configuration tools.
Cognos Data Module Architectures & Use CasesSenturus
Demos of Cognos data module architectures, real-world data module use cases, concepts of data set libraries and current data module gaps as compared to Framework Manager and other modeling use cases. View our on-demand webinar and download this deck at: https://senturus.com/resources/cognos-data-module-architectures-and-use-cases/.
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Microsoft SQL Server 2008 R2 delivers capabilities to scale database operations, improve efficiency for IT and developers, and enable self-service business intelligence. It provides enhanced analytics, reporting, data warehouse scalability up to hundreds of terabytes, master data management, and complex event processing. These features help organizations more effectively manage and gain insights from large and growing volumes of data.
The document discusses the architecture and components of Data Virtualization. The main components include the server, virtual database, access layer, query engine, and connector architecture. The server acts as an interface between applications and data sources. The virtual database provides a unified view of integrated data. The access layer allows applications to submit queries. The query engine processes queries from data sources. Connectors provide connectivity to physical data sources.
This document provides an overview of SQL Server 2008 R2 and its key capabilities. It discusses how SQL Server 2008 R2 helps customers scale efficiently, reduce risk and gain agility, and respond quickly to business opportunities. It highlights SQL Server 2008 R2's high performance data warehouse capabilities, enhanced security features, virtualization and management improvements, and self-service business intelligence tools.
Learn why Microsoft Power BI is an Undisputed Market Leader?Visual_BI
Power BI Report Server is the on-premise version of Power BI that allows organizations to consume Power BI reports within their internal network behind the firewall. It provides a dedicated user interface and organizational resources to view and interact with Power BI reports on-premises. Power BI Embedded allows embedding Power BI reports and visualizations into third-party applications using REST APIs. It is used to distribute reports to a large audience without requiring each user to have a Power BI license. Premium capacity in Power BI provides dedicated cloud resources for large datasets, frequent refreshes and advanced capabilities like paginated reports and predictive analytics.
New IBM Information Server 11.3 - Bhawani Nandan PrasadBhawani N Prasad
The document summarizes new features in Information Server V11.3, including enhancements to Information Governance Catalog, Data Integration, Data Quality, and the roadmap for ongoing releases. Key updates are improved metadata collaboration in Information Governance Catalog, self-service data integration in Data Click, a Governance Dashboard to monitor data quality objectives, and performance optimizations for profiling and rules. Future releases will add additional platform and cloud support along with new Data Click and MDM integration capabilities.
This document describes new features in SAP Data Services 4.2 Support Package 1. Key updates include installing Data Services on a separate Information platform services system for flexibility, additional REST web services, enhanced operational statistics collection, and a new tool for securely promoting Data Services objects between environments.
Енергетска ефикасност во градежниот сектор
Правилник за мерките за енергетска ефикасност кои треба да ги исполнат проектите за изградба на нови и реконструкција на постоечки објекти како услов за добивање на одобрение за градење од Општи на Карпош
Катерина Богдановска, Сектор за ЕЕ, Општина Карпош
O documento discute as vantagens do uso de jogos didáticos no ensino, listando diversos benefícios como a fixação de conceitos, desenvolvimento de estratégias de resolução de problemas, aprendizado interdisciplinar e socialização entre estudantes. Também apresenta objetivos indiretos que jogos podem propiciar, como memória, raciocínio, percepção e expressão linguística. Por fim, sugere a criação de revistas e o aprendizado baseado em projetos como estratégias pedagógicas.
Introduction to Microsoft’s Master Data Services (MDS)James Serra
Master Data Services is bundled with SQL Server 2012 to help resolve many of the Master Data Management issues that companies are faced with when integrating data. In this session, James will show an overview of Master Data Services 2012, including the out of the box Web UI, the highly developed Excel Add-in, and how to get started with loading MDS with your data.
Learn more about ER/Studio Data Architect and try it free at: http://embt.co/ERStudioDA
With round-trip database support, data architects using ER/Studio Data Architect have the power to easily reverse-engineer, compare and merge, and visually document data assets residing in diverse locations from data centers to mobile platforms. Enterprise data can be more effectively leveraged as a corporate asset, while compliance is supported for business standards and mandatory regulations -- essential factors in an organizational data governance program. A range of data sources are supported ranging from those residing on the cloud to data sources residing on mobile phones. A variety of database platforms, including traditional RDBMS and big data technologies such as MongoDB and Hadoop Hive, can be imported and integrated into shared models and metadata definitions.
Master Data Services (MDS) is a SQL Server solution that allows organizations to manage master lists of non-transactional reference data. The goal of MDS is to establish reliable, centralized master data that can be analyzed to support better business decisions. MDS includes tools for discovering, defining, and maintaining master data lists. It also integrates with Excel through an add-in to load, publish, and validate data.
This document provides an overview of Database Architechs, a consulting firm specializing in database architecture, design, and performance tuning. It describes the company's areas of expertise, including database architecture, data modeling, performance tuning, data warehousing, and high availability solutions. It also outlines Database Architechs' methodology, tools, team of experts, locations of operations, partners, clients, and benchmark results showing improvements in database performance and availability.
20100430 introduction to business objects data servicesJunhyun Song
This document provides an overview and agenda for a presentation on SAP BusinessObjects Data Services XI 3.0. It discusses how data integration and quality tools like Data Services can help address challenges around managing enterprise data by providing a single tool for data integration, quality management, and metadata management. The presentation agenda covers why effective information management is important, an introduction to Data Services, how metadata management impacts data lineage and trustworthiness, use cases for Data Services in SAP environments, and concludes with a wrap-up.
This document outlines an MDM architecture using SAP components, including SAP MDG for the master data repository, SAP Info Steward for metadata management, and SAP Data Services for data integration and quality. It recommends using Sybase PowerDesigner for data modeling, profiling data with SAP Info Steward, and leveraging SAP HANA for faster processing. The architecture utilizes SAP components for presentation, persistence, integration and processing of master data.
This document provides an overview of the services offered by Database Architechs, a consulting firm specializing in database architecture, design, and performance. They offer a wide range of database-focused consulting services including database architecture, design, performance tuning, data warehousing, high availability, and training. They have experience with all major database platforms and have helped large clients across various industries with their database needs.
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
T.N Simha is seeking a role that allows him to grow with a progressive organization and enhance his knowledge of latest technologies. He has over 3 years of experience working with SQL Server 2008/2012, SSIS, SSAS, SSRS and Power BI. He is committed to tasks and a quick learner who is flexible in all environments.
This document provides an overview of Data Quality Services (DQS) matching and Master Data Services (MDS). It discusses record matching, data issues that affect matching, the DQS matching process, and key components like the matching policy and knowledge base. It also introduces MDS and its configuration tools.
Cognos Data Module Architectures & Use CasesSenturus
Demos of Cognos data module architectures, real-world data module use cases, concepts of data set libraries and current data module gaps as compared to Framework Manager and other modeling use cases. View our on-demand webinar and download this deck at: https://senturus.com/resources/cognos-data-module-architectures-and-use-cases/.
Senturus offers a full spectrum of services across the BI stack plus training on Power BI, Cognos and Tableau. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Microsoft SQL Server 2008 R2 delivers capabilities to scale database operations, improve efficiency for IT and developers, and enable self-service business intelligence. It provides enhanced analytics, reporting, data warehouse scalability up to hundreds of terabytes, master data management, and complex event processing. These features help organizations more effectively manage and gain insights from large and growing volumes of data.
The document discusses the architecture and components of Data Virtualization. The main components include the server, virtual database, access layer, query engine, and connector architecture. The server acts as an interface between applications and data sources. The virtual database provides a unified view of integrated data. The access layer allows applications to submit queries. The query engine processes queries from data sources. Connectors provide connectivity to physical data sources.
This document provides an overview of SQL Server 2008 R2 and its key capabilities. It discusses how SQL Server 2008 R2 helps customers scale efficiently, reduce risk and gain agility, and respond quickly to business opportunities. It highlights SQL Server 2008 R2's high performance data warehouse capabilities, enhanced security features, virtualization and management improvements, and self-service business intelligence tools.
Learn why Microsoft Power BI is an Undisputed Market Leader?Visual_BI
Power BI Report Server is the on-premise version of Power BI that allows organizations to consume Power BI reports within their internal network behind the firewall. It provides a dedicated user interface and organizational resources to view and interact with Power BI reports on-premises. Power BI Embedded allows embedding Power BI reports and visualizations into third-party applications using REST APIs. It is used to distribute reports to a large audience without requiring each user to have a Power BI license. Premium capacity in Power BI provides dedicated cloud resources for large datasets, frequent refreshes and advanced capabilities like paginated reports and predictive analytics.
New IBM Information Server 11.3 - Bhawani Nandan PrasadBhawani N Prasad
The document summarizes new features in Information Server V11.3, including enhancements to Information Governance Catalog, Data Integration, Data Quality, and the roadmap for ongoing releases. Key updates are improved metadata collaboration in Information Governance Catalog, self-service data integration in Data Click, a Governance Dashboard to monitor data quality objectives, and performance optimizations for profiling and rules. Future releases will add additional platform and cloud support along with new Data Click and MDM integration capabilities.
This document describes new features in SAP Data Services 4.2 Support Package 1. Key updates include installing Data Services on a separate Information platform services system for flexibility, additional REST web services, enhanced operational statistics collection, and a new tool for securely promoting Data Services objects between environments.
Енергетска ефикасност во градежниот сектор
Правилник за мерките за енергетска ефикасност кои треба да ги исполнат проектите за изградба на нови и реконструкција на постоечки објекти како услов за добивање на одобрение за градење од Општи на Карпош
Катерина Богдановска, Сектор за ЕЕ, Општина Карпош
O documento discute as vantagens do uso de jogos didáticos no ensino, listando diversos benefícios como a fixação de conceitos, desenvolvimento de estratégias de resolução de problemas, aprendizado interdisciplinar e socialização entre estudantes. Também apresenta objetivos indiretos que jogos podem propiciar, como memória, raciocínio, percepção e expressão linguística. Por fim, sugere a criação de revistas e o aprendizado baseado em projetos como estratégias pedagógicas.
This document discusses reported or indirect speech, which is used to retell something someone said in the past. Reported speech is used to tell others what someone has said previously, report what other people say, think or believe, or report what was said. It can involve changing the tenses of the original statement being reported. An example is provided where direct speech "WHAT!" is reported as indirect speech.
The document summarizes different tenses in English including present, past, and future tenses. It provides examples of each tense using common verbs like "to be", "to have", and "to do". For each tense, it outlines the basic sentence structure and provides sample sentences to illustrate how to use that particular tense in a sentence.
1. Binatang yang akan diselamatkan adalah binatang yang paling bermanfaat bagi manusia.
2. Souvenir yang akan dibawa dari Afrika adalah binatang yang mudah dirawat dan tidak terancam punah.
3. Binatang yang akan dipilih untuk dikutuk menjadi adalah binatang yang dapat beradaptasi dengan lingkungan.
4. Spesies binatang yang akan dimusnahkan adalah spesies yang berbahaya bagi ekosistem.
Utilização do computador na educação, histórico dos softwares educacionais, classificação dos softwares educacionais, formação de recursos humanos na informática na educação. Ambientes de ensino e aprendizagem computadorizados, enfoque algorítmicos x enfoque heurístico, modalidades do CAI, ferramentas de apoio ao processo de ensino-aprendizagem. Trabalho cooperativo em educação: uso de ferramentas computacionais cooperativas
The document discusses conditional sentences in English. There are three main types of conditional sentences: Type 1 uses "if + present, will + verb" to talk about possible future situations. Type 2 uses "if + past, would + verb" to talk about unlikely or imaginary situations. Type 3 uses "if + past perfect, would + have + past participle" to talk about unfulfilled past conditions. There are also special rules for conditional sentences without "if" and those using "unless" or "otherwise".
O documento discute as bases neurais da memória e aprendizagem. Apresenta objetivos como conceituar os tipos de memória, discutir métodos de estudo e analisar teorias como a estrutural e dos níveis de processamento. Também discute o modelo de memória de trabalho de Baddeley e comparações com o modelo de Atikson-Shiffrin.
O conhecimento como compreensão do mundo e como fundamentação da ação. Estudo teórico, técnico e crítico para elaboração de trabalhos acadêmicos, projetos de pesquisa e monografias. Estudo sobre tipos de conhecimentos e aprendizado sobre a investigação científica
O documento fornece informações sobre os requisitos e procedimentos para a realização do estágio supervisionado. O estágio deve ser de 300 horas, incluindo 270 horas de atividades como observação, participação e regência em escolas de ensino fundamental e médio, e 30 horas para elaboração do relatório final. O estágio tem como objetivo associar teoria e prática e capacitar os estagiários para a docência.
Estudo das dificuldades de aprendizagem e Necessidades Educacionais Especiais sob o ponto de vista das Neurociências. Estruturas neuroanatôminas envolvidas na aprendizagem e cognição. Bases neurais da memória e da aprendizagem. Transtornos específicos de aprendizagem, em especial o transtorno de Déficit de Atenção e Hiperatividade.
This document discusses possessive adjectives and possessive pronouns. It provides examples of possessive adjectives modifying nouns like "my green house" and "her room." Possessive pronouns are used to indicate possession without a noun, like "mine," "yours," "his," etc. The difference is that possessive adjectives modify nouns while possessive pronouns are used as subjects or objects in place of nouns.
Dr. Rushmini Maris Ismail is a medical doctor and writer who runs the Klinik Penawar clinic in Semenyih, Sepang, Bangi, and Shah Alam. She also runs the Marissa Aesthetic & Wellness Centre which offers services like breast and nose fillers, mesotherapy, platelet rich plasma therapy, ozone therapy, and the Marissa Scientific Slimming Programme and Enzyme Therapy. Her contact information and website are provided.
The document summarizes the subjunctive verb form in English. It discusses that the subjunctive is used for events that are uncertain or imagined, and provides examples of different types of subjunctive including past subjunctive and present perfect subjunctive. It also gives examples of how the subjunctive is used after verbs like "wish" and "suppose", as well as structures involving expressions like "it is essential that". In summary, the document outlines when and how the English subjunctive verb form is used in different tenses and structures.
This document discusses four common ways to express preferences in English grammar:
1) Using "like" and "better than" to compare preferences between nouns or gerunds.
2) Using "prefer" and "to" to state a preference between nouns or gerunds.
3) Using "would rather" and "than" to compare preferences between infinitives.
4) Using "would prefer" and "rather than" to state a preference between infinitives. Examples of each construction are provided to illustrate proper usage.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Microsoft® SQL Server® 2012 is a cloud-ready information platform that will help organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence.
SISG provides business intelligence, data warehousing, and data integration solutions. They utilize agile project methodology and virtual environments to iteratively deliver customized data solutions. Their services include strategic planning, project management, data modeling, extraction and loading, and infrastructure optimization. SISG focuses exclusively on these niche areas and aims to provide high value solutions through their expertise and productivity tools.
SQL Server 2012 Analysis Services introduces a new BI Semantic Model that provides a single data model for building BI solutions. This unified model supports both multidimensional and tabular data models, providing flexibility for users and developers. It also includes tools for designing, developing, and deploying sophisticated BI applications and enables fast analytical performance through features like Proactive Caching.
DRM Webinar Series, PART 3: Will DRM Integrate With Our Applications?US-Analytics
In the third part of the series, we'll debunk myths around integrating DRM:
“It can’t automate or integrate with my non-Oracle products like SAP, Salesforce, Workday, or ServiceNow.”
“DRM doesn’t support a SaaS-based cloud architecture.”
“It doesn’t have delivered support for maintaining Oracle EPM products, like Essbase, Planning, HFM, and PBCS."
This document outlines an educational program on deploying Azure solutions that includes webinars and onsite programs. The objectives are to transform partners' delivery organizations to be competent in addressing Azure opportunities. The program covers various technical topics through different methodologies, including webinars on application modernization, big data, DevOps, and datacenter modernization. It provides details on speaker profiles, participant prerequisites, and intended outcomes of increasing Azure capabilities.
IBM InfoSphere Data Architect 9.1 - Francis ArnaudièsIBMInfoSphereUGFR
The document discusses IBM InfoSphere Data Architect, a tool for modeling, relating, and standardizing diverse data assets. It can design and manage enterprise data models, enforce standards, leverage industry data models, and optimize existing investments. The tool is based on the Eclipse platform and allows various users like data architects, database developers, and administrators to be more productive. It provides logical, physical, and dimensional modeling capabilities as well as tools to define and enforce standards to increase quality and governance.
Sql server 2008 r2 predictive analysis data sheetKlaudiia Jacome
Microsoft SQL Server 2008 provides predictive analytics and data mining capabilities that are seamlessly integrated into the Microsoft Business Intelligence platform. It allows users to test multiple models simultaneously, build incompatible models within a single structure, and blend optimized short and long-term predictions. These predictive insights can be used for applications like market basket analysis, churn analysis, and forecasting. The predictive capabilities are extensively integrated throughout the BI workflow and can be delivered via tools like Microsoft Office.
Unified Enterprise Data Mapping, Governance & Automation PlatformAnalytiX DS
The AnalytiX DS Unified Platform is an all-in-one platform to integrate Enterprise Metadata Management,data governance, and code automation into a single, comprehensive product suite to automate manual processes and truly accelerate the delivery of integration projects.
The document discusses new features in SQL Server Analysis Services (SSAS) "Denali" release including a new unified BI Semantic Model that brings together relational and multidimensional data models. It provides more flexibility and choices in building BI applications using either tabular or multidimensional approaches. Denali also improves performance and scalability with new in-memory and compression technologies. New tools are introduced for data modeling and management.
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
With SAP Netweaver Gateway becoming the platform to seamlessly connect across several devices, it is imperative that data modelling plays a pivotal role in developing applications. Needless to say, the data model you create consists of the operations you want to perform in runtime, mapped to specie data and attributes. Against this backdrop, this white paper probes into the concepts and functionalities of using Data modelling in SAP Gateway with relevant notes and screen shots, wherever applicable.
Apache Hadoop and Spark are best-of-breed technologies for distributed processing and storage of very large data sets: Big Data. Join us as we explain how to integrate Salesforce with off-the-shelf big data tools to build flexible applications. You'll also learn how Force.com is evolving in this area and how Big Objects and Data Pipelines will provide Big Data capability within the platform.
The Mapping Manager is the market leader in enterprise software which automates and manages the "source to target" mappings through the life-cycle process. Mapping Manager is robust, scalable and customizable platform for creating and governing enterprise data mappings and a code-generator for auto-generating ETL jobs for leading ETL tools. Mapping Manager accelerates delivery of integration projects while enabling standards, control, auditability, manageability and governance of the data mapping process.
Agenda:
Red Hat JBoss and SAP Collaboration
Red Hat JBoss - Overview
SAP Netweaver Gateway
SAP PartnerEdge program for Application Development
Call to Action
Q&A
Business Intelligence for users - SharperlightMichell8240
1) Sharperlight provides live access to data across an entire organization, regardless of where the data is stored or what platform it's on, through a single reporting and business intelligence solution.
2) It extends access to SAP Business One data and other third party applications and data sources.
3) The solution includes modules for querying, reporting, Excel integration, and publishing reports to the web.
Organisations are adopting microservices to keep pace with business innovation; whilst needing to meet the resilience, scalability and security requirements critical for digital solutions. Enterprise relational DBs are often a barrier to this transformation, but they needn’t be.
This presentation delves into the challenges faced by enterprises during digital transformation and modernization initiatives which are often hamstrung by the inherent monolithic nature of enterprise databases.
Many Oracle data-centric applications consist of an intricate web of hundreds of tables, housing hundreds of thousands of lines of PL/SQL code executed within the database via packaged procedures. These relational databases have enabled us to safely and securely manage structured data for several decades, but over time they grow more complex and harder to maintain, slowing down delivery and seriously degrading application performance, business innovation all but grinds to a halt.
Given the impracticality and cost associated with complete rewrites, many organisations are turning to Microservices Architecture, to extract value from existing assets whilst gradually deconstructing the monolithic architecture to facilitate evolutionary changes.
This presentation outlines a systematic and phased approach, based on experience from multiple client initiatives, highlighting the crucial role of this transformation in enabling the creation of APIs that drive new business initiatives. The concept of domain separation, a pivotal element in the migration process, will be introduced, along with options to move certain data retrieval and processing to more appropriate architectures
SAP Crystal Dashboard Design software helps users transform human resources and other company data into insightful dashboards. It enables monitoring of business performance, identification of key data relationships, and use of predictive analytics. Dashboards provide executives with a comprehensive view of workforce data to support improved decision-making.
Pysyvästi laadukasta masterdataa SmartMDM:n avullaBilot
1.9.2016 aamiaistilaisuuden esitys.
Mitäpä jos valjastaisit koko organisaatio masterdatan ylläpitoon? Hallitsisit hajauttamalla? Uudistunut SmartMDM tuo käyttöösi hallinnan, Microsoft SQL Server Master Data Services (MDS) keskityksen.
Lisää tapahtumiamme sivustollamme: http://www.bilot.fi/en/events/
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
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Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
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Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
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UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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