Are you missing out on a huge segment of the workforce? Learn how hiring marketing contractors can save you money, expand your talent pool, and give you more flexibility.
Are you missing out on a huge segment of the workforce? Learn how hiring marketing contractors can save you money, expand your talent pool, and give you more flexibility.
Adding Audio Feedback Using Vocaroo in Online Courses: Does it Add Value?Ashford University
Drs. Andree Swanson, Maja Zelihic, Paula Zobisch, Renee Hill, Diane Hamilton, Brenda Forde, and Bill Davis conducted a qualitative study to identify the student perceptions of connection and engagement (e-connectivity) when listening to audio feedback provided through the free software, Vocaroo (a web-based service for sending voice messages). The working hypothesis was that providing audio feedback via Vocaroo would result in increased e-connectivity (social connection-engagement). The team of researchers used this in a variety of management, marketing, and accounting courses at the undergraduate and graduate level. The results were positive and further strengthened the desire for students’ e-connectivity and engagement.
How to write scientific research articles- from structuring your paper to polishing it, ethical issues in writing and figure preparation, and peer review
We share with you our top ideas for creating an optimal work environment for your employees while at the same time maximising your business ambitions. By the end, you might well be asking – is it time for an office redesign?
An INSPIRE-based vocabulary for the publication of Agricultural Linked DataRaul Palma
FOODIE project aims at building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. In particular, the integration focuses on existing open datasets as well as their publication in Linked data format in order to maximize their reusability and enable the exploitation of the extra knowledge derived from the generated links. Based on such data, for instance, FOODIE platform aims at providing high-value applications and services supporting the planning and decision-making processes of different stakeholders related to the agricultural domain. The keystone for data integration is FOODIE data model, which has been defined by reusing and extending current standards and best practices, including data specifications from the INSPIRE directive which are in turn based on the ISO/OGC standards for geographical information. However, as these data specifications are available as XML documents, the first step to publish Linked Data required transforming or lifting FOODIE data model into semantic format. In this paper, we describe this process, which was conducted semi-automatically by reusing existing tools, and adhering to the mapping rules for transforming geographic information UML models to OWL ontologies defined by the ISO 19150-2 standard. We describe the challenges associated to this transformation, and finally, we describe the generated ontology, providing an INSPIRE-based vocabulary for the publication of Agricultural Linked Data.
Practice Fusion & MongoDB: Transitioning a 4 TB Audit Log from SQL Server to ...MongoDB
Presented by Michael Poremba, Director of Data Architecture, Practice Fusion.
Michael will share technical insights and key lessons learned by the Practice Fusion audit team, which can be leveraged for your own MongoDB projects. Key topics include: security, schema design, scalability, data migration, disaster recovery, and organizing the team of technical experts.
Practice Fusion decided to move the primary audit system for their Electronic Health Record (EHR) from SQL Server to MongoDB. The goal was to provide a scale-out data store for a system that was under IO pressure. The project required moving 4 TB of production data from a traditional database schema into a document data store while the system was in operation with a peak transaction throughput of up to 1,000 writes per second. The audit system is a tier-1 component mandated by law, and any interruption in the availability of the audit system would result in a system outage.
BIO:
Michael Poremba is Director of Data Architecture at Practice Fusion, a cloud-based electronic health records (EHR) service used by over 100,000 health care providers. He has over 20 years of experience in software engineering with expertise in architecture, performance, and scalability of transactional database applications.
Michael Poremba, Director, Data Architecture at Practice FusionMongoDB
Practice Fusion, the largest cloud-based electronic health records (EHR) system in the US, used by more than 100,000 health care providers managing over 100 million patient medical records, faced the need to move their four terabyte HIPAA audit reporting system off of a relational database. Practice Fusion selected MongoDB for their new HIPAA audit reporting system. Learn how the team designed and implemented a highly scalable system for storing protected health information in the cloud. This case study covers the move from a relational database to a document database; data modeling in JSON; sharding strategies; indexing; sharded cluster design supporting high availability and disaster recovery; performance testing; and data migration of billions of historical audit records.
The INSPIRE Implementing Rules (IRs) on interoperability of spatial data sets and services and for network services include requirements for setting up a Spatial Data Infrastructure in Europe for supporting environmental policy making as well as policies with impact on the environment. To help Data provider with technical aspects of the IRs as well as with its correct implementation, INSPIRE Technical Guidelines (TG) were developed for each 34 data themes (INSPIRE data specifications) and for the different types of INSPIRE network services (discovery, view, download and transformation).
Spatial objects are mapped, digitalized and stored in a GIS data sets or (spatial) database. Normally, the structure of the data will depend on the specific needs for which the data are collected and used. In order to provide them in compliance with INSPIRE, these source data sets have to be transformed to match the data model prescribed by INSPIRE and have to be provided through INSPIRE download services.
This training will show and illustrate through "hands on" exercises how data sets can be transformed and provided through INSPIRE-compliant services by covering the following topics:
1) Data transformation: This session gives an introduction and explanations about encoding rules, mapping original attributes into the INSPIRE data models and vocabularies and extending data models and vocabularies.
2) Download services: This session will explore the procedure of providing transformed dataset into through an INSPIRE network service, e.g. through an WMS (for view services) or WFS or ATOM feeds (download services).
3) "Hands on" session: This session will give an overview of different architectural approaches (e.g. on-the-fly transformation and stand-alone offline transformation) and concrete software solutions for transforming spatial data and creating INSPIRE-compliant services.
Presented FIspace at a matchmaking event in The Netherlands for the FIWARE Accelerator FInish. Also the other accelerators SmarAgriFood, Fractals and SpeedUP!Europe were mentioned.
Adding Audio Feedback Using Vocaroo in Online Courses: Does it Add Value?Ashford University
Drs. Andree Swanson, Maja Zelihic, Paula Zobisch, Renee Hill, Diane Hamilton, Brenda Forde, and Bill Davis conducted a qualitative study to identify the student perceptions of connection and engagement (e-connectivity) when listening to audio feedback provided through the free software, Vocaroo (a web-based service for sending voice messages). The working hypothesis was that providing audio feedback via Vocaroo would result in increased e-connectivity (social connection-engagement). The team of researchers used this in a variety of management, marketing, and accounting courses at the undergraduate and graduate level. The results were positive and further strengthened the desire for students’ e-connectivity and engagement.
How to write scientific research articles- from structuring your paper to polishing it, ethical issues in writing and figure preparation, and peer review
We share with you our top ideas for creating an optimal work environment for your employees while at the same time maximising your business ambitions. By the end, you might well be asking – is it time for an office redesign?
An INSPIRE-based vocabulary for the publication of Agricultural Linked DataRaul Palma
FOODIE project aims at building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. In particular, the integration focuses on existing open datasets as well as their publication in Linked data format in order to maximize their reusability and enable the exploitation of the extra knowledge derived from the generated links. Based on such data, for instance, FOODIE platform aims at providing high-value applications and services supporting the planning and decision-making processes of different stakeholders related to the agricultural domain. The keystone for data integration is FOODIE data model, which has been defined by reusing and extending current standards and best practices, including data specifications from the INSPIRE directive which are in turn based on the ISO/OGC standards for geographical information. However, as these data specifications are available as XML documents, the first step to publish Linked Data required transforming or lifting FOODIE data model into semantic format. In this paper, we describe this process, which was conducted semi-automatically by reusing existing tools, and adhering to the mapping rules for transforming geographic information UML models to OWL ontologies defined by the ISO 19150-2 standard. We describe the challenges associated to this transformation, and finally, we describe the generated ontology, providing an INSPIRE-based vocabulary for the publication of Agricultural Linked Data.
Practice Fusion & MongoDB: Transitioning a 4 TB Audit Log from SQL Server to ...MongoDB
Presented by Michael Poremba, Director of Data Architecture, Practice Fusion.
Michael will share technical insights and key lessons learned by the Practice Fusion audit team, which can be leveraged for your own MongoDB projects. Key topics include: security, schema design, scalability, data migration, disaster recovery, and organizing the team of technical experts.
Practice Fusion decided to move the primary audit system for their Electronic Health Record (EHR) from SQL Server to MongoDB. The goal was to provide a scale-out data store for a system that was under IO pressure. The project required moving 4 TB of production data from a traditional database schema into a document data store while the system was in operation with a peak transaction throughput of up to 1,000 writes per second. The audit system is a tier-1 component mandated by law, and any interruption in the availability of the audit system would result in a system outage.
BIO:
Michael Poremba is Director of Data Architecture at Practice Fusion, a cloud-based electronic health records (EHR) service used by over 100,000 health care providers. He has over 20 years of experience in software engineering with expertise in architecture, performance, and scalability of transactional database applications.
Michael Poremba, Director, Data Architecture at Practice FusionMongoDB
Practice Fusion, the largest cloud-based electronic health records (EHR) system in the US, used by more than 100,000 health care providers managing over 100 million patient medical records, faced the need to move their four terabyte HIPAA audit reporting system off of a relational database. Practice Fusion selected MongoDB for their new HIPAA audit reporting system. Learn how the team designed and implemented a highly scalable system for storing protected health information in the cloud. This case study covers the move from a relational database to a document database; data modeling in JSON; sharding strategies; indexing; sharded cluster design supporting high availability and disaster recovery; performance testing; and data migration of billions of historical audit records.
The INSPIRE Implementing Rules (IRs) on interoperability of spatial data sets and services and for network services include requirements for setting up a Spatial Data Infrastructure in Europe for supporting environmental policy making as well as policies with impact on the environment. To help Data provider with technical aspects of the IRs as well as with its correct implementation, INSPIRE Technical Guidelines (TG) were developed for each 34 data themes (INSPIRE data specifications) and for the different types of INSPIRE network services (discovery, view, download and transformation).
Spatial objects are mapped, digitalized and stored in a GIS data sets or (spatial) database. Normally, the structure of the data will depend on the specific needs for which the data are collected and used. In order to provide them in compliance with INSPIRE, these source data sets have to be transformed to match the data model prescribed by INSPIRE and have to be provided through INSPIRE download services.
This training will show and illustrate through "hands on" exercises how data sets can be transformed and provided through INSPIRE-compliant services by covering the following topics:
1) Data transformation: This session gives an introduction and explanations about encoding rules, mapping original attributes into the INSPIRE data models and vocabularies and extending data models and vocabularies.
2) Download services: This session will explore the procedure of providing transformed dataset into through an INSPIRE network service, e.g. through an WMS (for view services) or WFS or ATOM feeds (download services).
3) "Hands on" session: This session will give an overview of different architectural approaches (e.g. on-the-fly transformation and stand-alone offline transformation) and concrete software solutions for transforming spatial data and creating INSPIRE-compliant services.
Presented FIspace at a matchmaking event in The Netherlands for the FIWARE Accelerator FInish. Also the other accelerators SmarAgriFood, Fractals and SpeedUP!Europe were mentioned.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Understanding User Behavior with Google Analytics.pdfSEO Article Boost
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
2.Cellular Networks_The final stage of connectivity is achieved by segmenting...JeyaPerumal1
A cellular network, frequently referred to as a mobile network, is a type of communication system that enables wireless communication between mobile devices. The final stage of connectivity is achieved by segmenting the comprehensive service area into several compact zones, each called a cell.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Gen Z and the marketplaces - let's translate their needs
Foodie data models for crops from seed to store
1. 1www.foodie-project.eu
FOODIE - Data Models for Crops
from seed to store
Karel CHARVÁT, Tomáš ŘEZNÍK, Karel CHARVÁT jr., Šárka HORÁKOVÁ
Vojtech LUKAS, Michal KEPKA
OGC AGRICULTURE Summit Web
Delft 21.03.2017
2. 2www.foodie-project.eu
From FOODIE towards DataBio
Software D
Software C
Software B
Software A
APIs
…
OGC
WMS
OGC
WFS
REST
API
OGC
CSW
OGC
SOS
WS
Notification
Complex
Event
Processing
…
3. 3www.foodie-project.eu
Variety (managing integration of all the heterogeneous data from the past
- using Linked (Open) Data and semantics/ontologies etc. - and data
access, queries, reporting etc. for data preparation). Descriptive analytics
and classical query/reporting (performance data, transactional data,
attitudinal data, descriptive data, behavioral data, location-related data,
interactional data, from many different sources)
Velocity (managing real time/sensor data from the present - complex
event processing, Apache Kafka/Storm etc.) Monitoring and real-time
analytics - pilot services (in need of Velocity processing - and handling of
real-time data from the present) - trigging alarms, actuators etc.
Volume (mining all the data with respect to prediction and forecasting for
the future - using various types of machine learning and inductive
statistical methods). Forecasting, Prediction and Recommendation
analytics - pilot services (in need of Volume processing - and processing of
large amounts of data combining knowledge from the past and present,
and from models, to provide insight for the future).
From FOODIE towards DataBio
7. 7www.foodie-project.eu
Core Data Model
Platform independent
Based on more than 15 years of
research as well as commercial
activities
• economic and environmental
data
Compliant to
• ISO 19100 series standards
• CAP IACS (Common Agricultural
Policy Integrated
Administration and Control
System)
• INSPIRE legislation (2007/2/ES)
• GEOSS AIP-8
UML (EA, XMI,…) and SQL
(PostgreSQL)
15. 15www.foodie-project.eu
Machinery fleet monitoring
Extending the INSPIRE data model for Transport Networks
• SDI4Apps, OpenTransportNet, Plan4All,…
Transport Data Model
17. 17www.foodie-project.eu
Extension of OGC/ISO 19156 Observations and Measurements
• multimedia support, classifications of measurements etc.
VGI Data Model
18. 18www.foodie-project.eu
The industrial domain addressed
• Bioeconomy
Production of best possible raw materials from agriculture, forestry and fishery
for the Bioeconomy industry to produce food, energy and biomaterials
The current landscape
• Few large ICT vendors so far
The opportunity
• Bioeconomy can get a boost from Big Data.
Farm machines, fishing vessels, forestry machinery and remote and proximal
sensors collect large quantities data.
Large scale data collection and collation enhances knowledge to increase
performance and productivity in a sustainable way.
DataBio’s vision for influencing the domain
• Showcase the benefits of Big Data technologies in the raw material
production for the bioeconomy industry
• Increase participation of European ICT industry
The DataBio project in a nutshell
19. 19www.foodie-project.eu
DataBio will build a platform suitable for different
industries and user profiles
• Capability to handle distributed, heterogeneous and very
large datasets
• Configure predictive analytics and machine learning
components
• Mechanisms for real time analytics and stream processing
• Solutions for managing storage and queries of various big
data sources
• Integrated advanced visualization services
• Big data acquisition and curation with security/privacy
support
• Easily replicated due to using standard systems and known
best practices
The DataBio Concept and methodology