This is part 1 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 1 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 1 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 1 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
Collaboration and Productivity with Microsoft SharePointEdgewater
Ori Fishler, Web Solutions Practice Director at Edgewater Technology, was invited to speak at the Delta Dental CFO Conference on April 26th on Marco Island, FL. Ori presented the collaboration benefits of SharePoint 2010, specifically how a collaborative platform like SharePoint:
- streamlines finance and accounting processes
- improves the productivity of the underwriting department
The Role of Logical Data Fabric in a Unified Platform for Modern Analytics (A...Denodo
Watch full webinar here: https://bit.ly/3BuphcW
Join us for a webinar based on TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, where we will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report.
The Role of the Logical Data Fabric in a Unified Platform for Modern AnalyticsDenodo
Watch full webinar here: https://bit.ly/3FHKalT
Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification?
In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is explored. One of the approaches for unification outlined in the report is a data fabric approach.
Join us for a webinar with our Director of Product Marketing, Robin Tandon, where he will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report. He will share insights and use case examples that demonstrate how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations.
Watch on-demand & Learn:
- The benefits of a unified platform and its ability to capture diverse & emerging data types and how to support high performance and scalable solutions.
- The role of an enhanced AI driven data catalog and its implications towards the findings in the best practice report.
- Implications of a logical data fabric as it relates to several of the recommendations outlined in the report.
Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
Roland Haeve is cross competence manager Big Data voor Atos Nederland. Roland heeft ruim 18 jaar ICT-ervaring in het aanbieden van complete oplossingen binnen onder andere Business Intelligence (BI) en Big Data (Analytics). Big Data is voor veel bedrijven nog pionieren en uitzoeken wat de mogelijkheden zijn. In zijn presentatie zal Roland ingaan op succesvolle Big Data cases. Hij zal hierbij niet enkel inzoomen op Nederland, maar ook bredere, Europese voorbeelden meenemen.
APIS - Analytical Port Information System - a set of methods and software components to support the analytical, monitoring, publishing, controlling work and business development.
http://apis.paradigma.net/
Information As A Service – The Key To The Correct Decisions At The Right TimeAcando Consulting
This set of slides were used in a seminar given by Acando in April 2009. This seminar was part of a three-part theme all focusing on information and how to leverage information to create competitive advantage.
The title of this presentation is “Information as a Service – the key to the correct decisions at the right time”. The seminar used a chain of information evolution defined as “data -> information -> knowledge -> understanding -> wisdom” (see Ackoff, R. L., "From Data to Wisdom", Journal of Applies Systems Analysis, Volume 16,1989 p 3-9).
The key point made is that data, information and knowledge can be captured in information systems and often exposed as some kind of automated service, but understanding and wisdom requires a different approach. One such suggested approach relies on social networks and leverages 2.0-concepts.
Of course the message is hard to convey without the presentation being made, but I hope this set of slides can act as a catalyst for some interesting discussions. Please feel free to contact me with any questions regarding the presentation or individual slides.
Mattias Abrahamsson (mattias.abrahamsson@acando.com)
Data-Centric Analytics and Understanding the Full Data Supply ChainDATAVERSITY
While model development is an important part of analytics, this activity can be compromised by a lack of understanding of the data used in these models and poor Data Quality. For insights to be relied upon and truly actionable, data-related issues must be addressed.
The data supply chain (the set of architectural components that moves data around the enterprise from points where it is created or acquired to points where it is used) must be managed to supply the needs of analytics and other constituencies.
This webinar describes how the data supply chain should be designed and operated to provide analytics with the data it needs, and how Data Scientists should interact with the data supply chain to obtain the data they need. It also covers:
Data-centric considerations that must be taken into account in the development of analytic models
Features of a modern data supply chain
Major components in the data supply chain, with a focus on Data Lakes
Major roles and responsibilities in the data supply chain
How analytics must interact with the data supply chain
Watch here: https://bit.ly/3i2iJbu
You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
Join us for an exciting session that will cover:
- The most interesting trends in data management.
- Our predictions on how those trends will change the data management world.
- How these trends are shaping the future of data virtualization and our own software.
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Business is not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions in their business
This session will take a deep dive into current challenges business are having today and how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL data stores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and Bigstep.
The Scout24 Data Landscape Manifesto: Building an Opinionated Data PlatformRising Media Ltd.
The Scout24 Data Landscape Manifesto is the formalization of our opinions on how a successful data-driven company should approach data. In a truly data-driven company, no manager, no salesperson, no engineer and no data scientist can do their job properly without easy access to large amounts of high-quality data. It is Sean's mandate to create a platform that encourages the production of high-quality data and enables engagement with data by all employees. He and his team are opinionated about how all producers and consumers of data need to be active participants in the data platform, to make data-driven decisions and to be responsible for the data they produce. And he built the data platform with 'nudges' that reward data usage that matches his vision for a data-driven company. In this talk, Sean will present the Scout24 Data Landscape Manifesto and will show how the strong opinions it contains enabled him to successfully migrate from a classic centralized data warehouse to a decentralized, scalable, cloud-based data platform at AutoScout24 and ImmobilienScout24 that is core to their analytics and machine learning activities.
Collaboration and Productivity with Microsoft SharePointEdgewater
Ori Fishler, Web Solutions Practice Director at Edgewater Technology, was invited to speak at the Delta Dental CFO Conference on April 26th on Marco Island, FL. Ori presented the collaboration benefits of SharePoint 2010, specifically how a collaborative platform like SharePoint:
- streamlines finance and accounting processes
- improves the productivity of the underwriting department
The Role of Logical Data Fabric in a Unified Platform for Modern Analytics (A...Denodo
Watch full webinar here: https://bit.ly/3BuphcW
Join us for a webinar based on TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, where we will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report.
The Role of the Logical Data Fabric in a Unified Platform for Modern AnalyticsDenodo
Watch full webinar here: https://bit.ly/3FHKalT
Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification?
In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is explored. One of the approaches for unification outlined in the report is a data fabric approach.
Join us for a webinar with our Director of Product Marketing, Robin Tandon, where he will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report. He will share insights and use case examples that demonstrate how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations.
Watch on-demand & Learn:
- The benefits of a unified platform and its ability to capture diverse & emerging data types and how to support high performance and scalable solutions.
- The role of an enhanced AI driven data catalog and its implications towards the findings in the best practice report.
- Implications of a logical data fabric as it relates to several of the recommendations outlined in the report.
Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
Roland Haeve is cross competence manager Big Data voor Atos Nederland. Roland heeft ruim 18 jaar ICT-ervaring in het aanbieden van complete oplossingen binnen onder andere Business Intelligence (BI) en Big Data (Analytics). Big Data is voor veel bedrijven nog pionieren en uitzoeken wat de mogelijkheden zijn. In zijn presentatie zal Roland ingaan op succesvolle Big Data cases. Hij zal hierbij niet enkel inzoomen op Nederland, maar ook bredere, Europese voorbeelden meenemen.
APIS - Analytical Port Information System - a set of methods and software components to support the analytical, monitoring, publishing, controlling work and business development.
http://apis.paradigma.net/
Information As A Service – The Key To The Correct Decisions At The Right TimeAcando Consulting
This set of slides were used in a seminar given by Acando in April 2009. This seminar was part of a three-part theme all focusing on information and how to leverage information to create competitive advantage.
The title of this presentation is “Information as a Service – the key to the correct decisions at the right time”. The seminar used a chain of information evolution defined as “data -> information -> knowledge -> understanding -> wisdom” (see Ackoff, R. L., "From Data to Wisdom", Journal of Applies Systems Analysis, Volume 16,1989 p 3-9).
The key point made is that data, information and knowledge can be captured in information systems and often exposed as some kind of automated service, but understanding and wisdom requires a different approach. One such suggested approach relies on social networks and leverages 2.0-concepts.
Of course the message is hard to convey without the presentation being made, but I hope this set of slides can act as a catalyst for some interesting discussions. Please feel free to contact me with any questions regarding the presentation or individual slides.
Mattias Abrahamsson (mattias.abrahamsson@acando.com)
Data-Centric Analytics and Understanding the Full Data Supply ChainDATAVERSITY
While model development is an important part of analytics, this activity can be compromised by a lack of understanding of the data used in these models and poor Data Quality. For insights to be relied upon and truly actionable, data-related issues must be addressed.
The data supply chain (the set of architectural components that moves data around the enterprise from points where it is created or acquired to points where it is used) must be managed to supply the needs of analytics and other constituencies.
This webinar describes how the data supply chain should be designed and operated to provide analytics with the data it needs, and how Data Scientists should interact with the data supply chain to obtain the data they need. It also covers:
Data-centric considerations that must be taken into account in the development of analytic models
Features of a modern data supply chain
Major components in the data supply chain, with a focus on Data Lakes
Major roles and responsibilities in the data supply chain
How analytics must interact with the data supply chain
Watch here: https://bit.ly/3i2iJbu
You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
Join us for an exciting session that will cover:
- The most interesting trends in data management.
- Our predictions on how those trends will change the data management world.
- How these trends are shaping the future of data virtualization and our own software.
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Business is not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions in their business
This session will take a deep dive into current challenges business are having today and how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL data stores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and Bigstep.
The Scout24 Data Landscape Manifesto: Building an Opinionated Data PlatformRising Media Ltd.
The Scout24 Data Landscape Manifesto is the formalization of our opinions on how a successful data-driven company should approach data. In a truly data-driven company, no manager, no salesperson, no engineer and no data scientist can do their job properly without easy access to large amounts of high-quality data. It is Sean's mandate to create a platform that encourages the production of high-quality data and enables engagement with data by all employees. He and his team are opinionated about how all producers and consumers of data need to be active participants in the data platform, to make data-driven decisions and to be responsible for the data they produce. And he built the data platform with 'nudges' that reward data usage that matches his vision for a data-driven company. In this talk, Sean will present the Scout24 Data Landscape Manifesto and will show how the strong opinions it contains enabled him to successfully migrate from a classic centralized data warehouse to a decentralized, scalable, cloud-based data platform at AutoScout24 and ImmobilienScout24 that is core to their analytics and machine learning activities.