This presentation belongs to the workshop: "Building an Intelligent Biobank to Power Research Decision-Making", from ISBER 2015 Annual Meeting by Lori A. Ball (Chief Operating Officer, President of Integrated Client Solutions at BioStorage Technologies, Inc), Brian Brunner (Senior Manager, Clinical Practice at LabAnswer) and Suresh Chandrasekaran (Senior Vice President at Denodo).
The workshop cover three different topic areas:
- Research sample intelligence: the growing need for Global Data Integration (Biobank Sample and Data Stakeholders).
- Building a research data integration plan and cloud sourcing strategy (data integration).
- How data virtualization works and the value it delivers (a data virtualization introduction, solution portfolio and current customers in Life Sciences industry).
The biomedical R&D environment is increasingly dependent on data meta-analysis and bioinformatics to support research advancements. The integration of biorepository sample inventory data with biomarker and clinical research information has become a priority to R&D organizations. Therefore, a flexible IT system for managing sample collections, integrating sample data with clinical data and providing a data virtualization platform will enable the advancement of research studies. This workshop provides an overview of how sample data integration, virtualization and analytics can lead to more streamlined and unified sample intelligence to support global biobanking for future research.
Biotechnology information system in india (btis net)KAUSHAL SAHU
Introduction to Bioinformatics
Bioinformatics in India
Biotechnology Information System Network
Objective
Structure of BTISnet in India
Apex centre
Centre of excellence
Research activities proposed to be undertaken by the CoEs
Distributed information centers(DICs)
Sub-Distribution
Sub-DIC National Institute of Technology, Raipur
BIF for Biology Teaching Through Bioinformatics (BTBI)
EMBnet India Node
Future planning
Conclusion
Reference
Biotechnology information system {btis}KAUSHAL SAHU
WHAT IS BTIS?
WHY BTIS?
OBJECTIVES
BIOGRID
RESOURCES
R&D PROJECTS
BTIS CENTRES IN INDIA
INTERNATIONAL COOPERATION
REFERENCES
India is the first country in the world to establish in 1987 a biotechnology information system (BTIS) network to create an infrastructure of biotechnology through the application of bioinformatics.
The Department of Bio-Technology (DBT), Ministry of Science and Technology , Government of India has taken up this infrastructure development project and created a distributed network at a very low cost.
A NEW VITAL DYE IN THE MANAGEMENT OF EXTERNAL OCULAR DISEASES
Alexandra Mieth A, MD, FRCSC
Eduardo Arenas A, MD, FACS
Fundación Santa Fe de Bogotá
Colombia
Biotechnology information system in india (btis net)KAUSHAL SAHU
Introduction to Bioinformatics
Bioinformatics in India
Biotechnology Information System Network
Objective
Structure of BTISnet in India
Apex centre
Centre of excellence
Research activities proposed to be undertaken by the CoEs
Distributed information centers(DICs)
Sub-Distribution
Sub-DIC National Institute of Technology, Raipur
BIF for Biology Teaching Through Bioinformatics (BTBI)
EMBnet India Node
Future planning
Conclusion
Reference
Biotechnology information system {btis}KAUSHAL SAHU
WHAT IS BTIS?
WHY BTIS?
OBJECTIVES
BIOGRID
RESOURCES
R&D PROJECTS
BTIS CENTRES IN INDIA
INTERNATIONAL COOPERATION
REFERENCES
India is the first country in the world to establish in 1987 a biotechnology information system (BTIS) network to create an infrastructure of biotechnology through the application of bioinformatics.
The Department of Bio-Technology (DBT), Ministry of Science and Technology , Government of India has taken up this infrastructure development project and created a distributed network at a very low cost.
A NEW VITAL DYE IN THE MANAGEMENT OF EXTERNAL OCULAR DISEASES
Alexandra Mieth A, MD, FRCSC
Eduardo Arenas A, MD, FACS
Fundación Santa Fe de Bogotá
Colombia
Event: Plant and Animal Genomes conference 2012
Speaker: Sandra Orchard
InterPro is an open-source protein resource used for the automatic annotation of proteins, and is scalable to the analysis of entire new genomes through the use of a downloadable version of InterProScan, which can be incorporated into an existing local pipeline. InterPro integrates protein signatures from 11 major signature databases (CATH-Gene3D, HAMAP, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY, and TIGRFAMs) into a single resource, taking advantage of the different areas of specialization of each to produce a resource that provides protein classification on multiple levels: protein families, structural superfamilies and functionally close subfamilies, as well as functional domains, repeats and important sites. The InterPro website has been improved, following extensive community consultation and a new version of InterProScan promises improved speed, ease of implementation as well as additional functionalities.
FRSAD Functional Requirements for Subject Authority Data modelMarcia Zeng
Presentation on the modeling approach of the FRSAD (Functional Requirements for Subject Authority Data) model; the entities, attributes, and relationships defined. Discussions of the implications of the FRSAD model for interoperability and future R&D considered. Presented for the ALCTS CCS Subject Analysis Committee, ALA 2010 Annual Conference, Washington, D.C. June 28, 2010
WHAT IS DNA SEQUENCER ?
DNA SEQUENCING.
HISTORY
MANUFACTURERES OF DNA SEQUENCER.
OTHER APPLICATIONS
CONCLUSION
REFERENCES
The order of the DNA bases is reported as a text string, called a read. Some DNA sequencers can be also considered optical instruments as they analyze light signals originating from fluorochromes attached to nucleotides.
Reconciling your Enterprise Data Warehouse to Source SystemsMethod360
Implementing and an enterprise BI system is a significant organization investment. Too many times the expected benefit of that investment isn’t realized due to inconsistent data between the organization’s operational and BI systems.
This webcast will explain several options to enable your organization to leverage its investment by providing options to reconcile the data from source operational systems to BI.
Reconciliation Testing Aspects of Trading Systems Software FailuresIosif Itkin
Предварительный сборник трудов 8-ого весеннего/летнего коллоквиума молодых исследователей в области программной инженерии (SYRCoSE 2014) в Санкт-Петербурге - ISBN 978-5-91474-020-4, c. 125-129
Anna-Maria Kriger, Kostroma State Technological University
Alyona Pochukalina, Obninsk Institute for Nuclear Power Engineering
Vladislav Isaev, Yuri Gagarin State Technical University of Saratov
Exactpro Systems
Hadoop and the Data Warehouse: Point/Counter PointInside Analysis
Robin Bloor and Teradata
Live Webcast on April 22, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=2e69345c0a6a4e5a8de6fc72652e3bc6
Can you replace the data warehouse with Hadoop? Is Hadoop an ideal ETL subsystem? And what is the real magic of Hadoop? Everyone is looking to capitalize on the insights that lie in the vast pools of big data. Generating the value of that data relies heavily on several factors, especially choosing the right solution for the right context. With so many options out there, how do organizations best integrate these new big data solutions with the existing data warehouse environment?
Register for this episode of The Briefing Room to hear veteran analyst Dr. Robin Bloor as he explains where Hadoop fits into the information ecosystem. He’ll be briefed by Dan Graham of Teradata, who will offer perspective on how Hadoop can play a critical role in the analytic architecture. Bloor and Graham will interactively discuss big data in the big picture of the data center and will also seek to dispel several common misconceptions about Hadoop.
Visit InsideAnlaysis.com for more information.
Event: Plant and Animal Genomes conference 2012
Speaker: Sandra Orchard
InterPro is an open-source protein resource used for the automatic annotation of proteins, and is scalable to the analysis of entire new genomes through the use of a downloadable version of InterProScan, which can be incorporated into an existing local pipeline. InterPro integrates protein signatures from 11 major signature databases (CATH-Gene3D, HAMAP, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY, and TIGRFAMs) into a single resource, taking advantage of the different areas of specialization of each to produce a resource that provides protein classification on multiple levels: protein families, structural superfamilies and functionally close subfamilies, as well as functional domains, repeats and important sites. The InterPro website has been improved, following extensive community consultation and a new version of InterProScan promises improved speed, ease of implementation as well as additional functionalities.
FRSAD Functional Requirements for Subject Authority Data modelMarcia Zeng
Presentation on the modeling approach of the FRSAD (Functional Requirements for Subject Authority Data) model; the entities, attributes, and relationships defined. Discussions of the implications of the FRSAD model for interoperability and future R&D considered. Presented for the ALCTS CCS Subject Analysis Committee, ALA 2010 Annual Conference, Washington, D.C. June 28, 2010
WHAT IS DNA SEQUENCER ?
DNA SEQUENCING.
HISTORY
MANUFACTURERES OF DNA SEQUENCER.
OTHER APPLICATIONS
CONCLUSION
REFERENCES
The order of the DNA bases is reported as a text string, called a read. Some DNA sequencers can be also considered optical instruments as they analyze light signals originating from fluorochromes attached to nucleotides.
Reconciling your Enterprise Data Warehouse to Source SystemsMethod360
Implementing and an enterprise BI system is a significant organization investment. Too many times the expected benefit of that investment isn’t realized due to inconsistent data between the organization’s operational and BI systems.
This webcast will explain several options to enable your organization to leverage its investment by providing options to reconcile the data from source operational systems to BI.
Reconciliation Testing Aspects of Trading Systems Software FailuresIosif Itkin
Предварительный сборник трудов 8-ого весеннего/летнего коллоквиума молодых исследователей в области программной инженерии (SYRCoSE 2014) в Санкт-Петербурге - ISBN 978-5-91474-020-4, c. 125-129
Anna-Maria Kriger, Kostroma State Technological University
Alyona Pochukalina, Obninsk Institute for Nuclear Power Engineering
Vladislav Isaev, Yuri Gagarin State Technical University of Saratov
Exactpro Systems
Hadoop and the Data Warehouse: Point/Counter PointInside Analysis
Robin Bloor and Teradata
Live Webcast on April 22, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=2e69345c0a6a4e5a8de6fc72652e3bc6
Can you replace the data warehouse with Hadoop? Is Hadoop an ideal ETL subsystem? And what is the real magic of Hadoop? Everyone is looking to capitalize on the insights that lie in the vast pools of big data. Generating the value of that data relies heavily on several factors, especially choosing the right solution for the right context. With so many options out there, how do organizations best integrate these new big data solutions with the existing data warehouse environment?
Register for this episode of The Briefing Room to hear veteran analyst Dr. Robin Bloor as he explains where Hadoop fits into the information ecosystem. He’ll be briefed by Dan Graham of Teradata, who will offer perspective on how Hadoop can play a critical role in the analytic architecture. Bloor and Graham will interactively discuss big data in the big picture of the data center and will also seek to dispel several common misconceptions about Hadoop.
Visit InsideAnlaysis.com for more information.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
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# Students can catch up on notes they missed because of an absence.
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Data virtualization, Data Federation & IaaS with Jboss TeiidAnil Allewar
Enterprise have always grappled with the problem of information silos that needed to be merged using multiple data warehouses(DWs) and business intelligence(BI) tools so that enterprises could mine this disparate data for businessdecisions and strategy. Traditionally this data integration was done with ETL by consolidating multiple DBMS into a single data storage facility.
Data virtualization enables abstraction, transformation, federation, and delivery of data taken from variety of heterogeneous data sources as if it is a single virtual data source without the need to physically copy the data for integration. It allows consuming applications or users to access data from these various sources via a request to a single access point and delivers information-as-a-service (IaaS).
In this presentation, we will explore what data virtualization is and how it differs from the traditional data integration architecture. We’ll also look at validating the data virtualization and federation concepts by working through an example(see videos at the GitHub repo) to federate data across 2 heterogeneous data sources; mySQL and MongoDB using the JBoss Teiid data virtualization platform.
tranSMART Community Meeting 5-7 Nov 13 - Session 5: Recent tranSMART Lessons ...David Peyruc
tranSMART Community Meeting 5-7 Nov 13 - Session 5: Recent tranSMART Lessons Learned in Academic and Life Science Settings
Dan Housman, Recombinant by Deloitte
The Recombinant by Deloitte team has worked with organizations such as Kimmel Cancer Center as a model to adapt existing mature i2b2 implementations to meet business and scientific needs. Other organizations are increasingly focused on how to use cloud and high performance computing models to achieve different performance levels. Advanced initiatives are progressing to link commercial tools such as Qlikview to explore tranSMART data and to solve for key gaps in scientific pipelines. Dan will present recent lessons learned, new capabilities, and some of the impact on the path forwards for future tranSMART updates.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Access the webinar: http://goo.gl/p08pTz
These slides were presented in a webinar by Denodo in collaboration with BioStorage Technologies and Indiana Clinical and Translational Sciences Institute and Regenstrief Institute.
BioStorage Technologies, Inc., Indiana Clinical and Translational Sciences Institute, and Regenstrief Institute (CTSI) have joined Denodo to talk about the important role of technological advancements, such as data virtualization, in advancing biospecimen research.
By watching this webinar, you can gain insight into best practices around the integration of biospecimen and research data as well as technology solutions that provide consolidated views and rapid conversions of this data into valuable business insights. You will also learn how data virtualization can assist with the integration of data residing in heterogeneous repositories and can securely deliver aggregated data in real-time.
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
CTO Perspectives: What's Next for Data Management and Healthcare?Health Catalyst
Health Catalyst's Chief Technology Officer, Bryan Hinton, shares his perspective, thoughts, and insights on new and emerging trends for data management in healthcare. Bryan offers a brief presentation on what hospitals and healthcare systems can expect, followed by an extended Q&A.
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Maximizing the value of data, computing, data science in an academic medical center, or 'towards a molecularly informed Learning Health System. Given in October at the University of Florida in Gainesville
Challenges in Clinical Research: Aridhia Disrupts Technology Approach to Rese...VMware Tanzu
Join Jeff Kelly, Pivotal’s Big Data Strategist and Chris Roche, Aridhia’s CEO, to learn how Big Data and data science are being applied to clinical research. Learn…
• Why research-oriented healthcare delivery organizations and academic medical centers need an ACRIS
• How improving collaboration and productivity accelerates the discovery of insights and increases competitiveness
• Why robust data security is critical to modernizing engagement between academia, industry and healthcare
• How to reduce research costs while improving commercialization opportunities
• Why enabling transparent analysis and reproducibility of research are key to scientific progress
• Best practices to get started on your digital transformation and Big Data journey
Challenges in Clinical Research: Aridhia's Disruptive Technology Approach to ...Aridhia Informatics Ltd
This webinar with our partner Pivotal aired in July 2016.
The increasing sophistication of modern medicine, a seemingly endless supply of data, and the ability to perform large-scale computation is transforming clinical research. However, utilising data to generate new treatments and therapies has continued to prove complicated. The silo-based information systems built over the last 30 years are simply unable to scale to support today’s use cases.
Aridhia, creators of AnalytiXagility, the ground-breaking research and healthcare data analysis platform, is now enabling its customers to rapidly analyse massive amounts of data in meaningful ways to change how diseases are understood, managed and treated. Powered by Pivotal Greenplum, AnalytiXagility is at the forefront of Advanced Clinical Research Information Systems (ACRIS), one of Gartner’s 10 “Transformational Digital Disruptors in Healthcare by 2025”.
Learn how big data and data science are being applied to clinical research and:
• Why research-oriented healthcare delivery organizations and academic medical centers need an ACRIS
• How improving collaboration and productivity accelerates the discovery of insights and increases competiveness
• Why robust data security is critical to modernizing engagement between academia, industry and healthcare
• How to reduce research costs while improving commercialization opportunities
• Why enabling transparent analysis and reproducibility of research are key to scientific progress
• Best practices to get started on your digital transformation and Big Data journey
Enterprise Analytics: Serving Big Data Projects for HealthcareDATA360US
Andrew Rosenberg's Presentation on "Enterprise Analytics: Serving Big Data Projects for Healthcare" at DATA 360 Healthcare Informatics Conference - March 5th, 2015
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Seminar for Dr. Min Zhang's Purdue Bioinformatics Seminar Series. Touched on learning health systems, the Gen3 Data Commons, the NCI Genomic Data Commons, Data Harmonization, FAIR, and open science.
The Data Operating System: Changing the Digital Trajectory of HealthcareHealth Catalyst
In 1989, John Reed, the CEO of Citibank and the early pioneer for ATMs, said, “I can see a future in which the data and information that is exchanged in our transactions are worth more than the transactions themselves.” We are at an interesting digital nexus in healthcare. Few of us would argue against the notion that data and digital health will play a bigger and bigger role in the future. But, are we on the right track to deliver on that future? It required $30B in federal incentive money to subsidize the uptake of Electronic Health Records (EHRs). You could argue that the federal incentives stimulated the first major step towards the digitization of health, but few physicians would celebrate its value in comparison to its expense. As the healthcare market consolidates through mergers and acquisitions (M&A), patching disparate EHRs and other information systems together becomes even more important, and challenging. An organization is not integrated until its data is integrated, but costly forklift replacements of these transaction information systems and consolidating them with a single EHR solution is not a viable financial solution.
The Data Operating System: Changing the Digital Trajectory of HealthcareDale Sanders
This is the next evolution in health information exchanges and data warehouses, specifically designed to support analytics, transaction processing, and third party application development, in one platform, the Data Operating System.
Closing the Loop in Healthcare Analytics - Correlating Clinical and Administrative Systems with Research Efforts to Deliver Clinical Efficiency in Real Time
Enterprise Monitoring and Auditing in DenodoDenodo
Watch full webinar here: https://buff.ly/3P3l4oK
Proper monitoring of an enterprise system is critical to understanding its capacity and growth, anticipating potential issues, and even understanding key ROI metrics. This also facilitates the implementation of policies and user access audits which are key to optimizing the resource utilization in an organization. Do you want to learn more about the new Denodo features for monitoring, auditing, and visualizing enterprise monitoring data?
Join us for the session with Vijayalakshmi Mani, Data Engineer at Denodo, to understand how the new features and components help in monitoring your Denodo Servers and the resource utilizations and how to extract the most out of the logs that the Denodo Platform generates including FinOps information.
Watch on-demand and Learn:
- What is a Denodo Monitor and what’s new in it?
- How to visualize the Denodo Monitor Information and use of Diagnostics & Monitoring Tool
- Introduction to the new Denodo Dashboard
- Demonstration on the Denodo Dashboard
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
Watch full webinar here: https://buff.ly/4bYOOgb
With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them.
Attend this session to learn:
- The importance of FinOps in a cloud architecture.
- How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from?
- What actions and controls the Denodo Platform offers to keep costs at bay.
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
Watch full webinar here: https://buff.ly/3wBhxYb
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Watch on-demand and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
What you need to know about Generative AI and Data Management?Denodo
Watch full webinar here: https://buff.ly/3UXy0A2
It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management.
Join us on this webinar to learn about:
- The opportunities and challenges presented by GenAI today.
- Exploiting GenAI to democratize data management.
- How to augment GenAI applications with corporate data and knowledge.
- How to get started.
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
Watch full webinar here: https://buff.ly/48rpLQ3
Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment.
This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges.
Key Takeaways:
- How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape?
- Keys to balancing data accessibility with security and privacy in today's data-driven environment.
- What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them?
We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
Watch full webinar here: https://buff.ly/3OCQvGk
In this session, Denodo Sales Engineer, Yik Chuan Tan, will guide you through the art of delivering a compelling demo of the Denodo Platform with Denodo Demo Lite. Watch to uncover the significant functionalities that set Denodo apart and learn how to effectively win over potential customers.
In this session, we will cover:
Understanding the Denodo Platform & Tailoring Your Demo to Prospect Needs: By gaining a comprehensive understanding of the Denodo Platform, its architecture, and how it addresses data management challenges, you can customize your demo to align with the specific needs and pain points of your prospects, including:
- seamless data integration with real-time access
- data security and governance
- self-service data discovery
- advanced analytics and reporting
- performance optimization scalability and deployment
Watch this Denodo demo session and acquire the skills and knowledge necessary to captivate your prospects. Whether you're a seasoned technical professional or new to the field, this session will equip you with the skills to deliver compelling demos that lead to successful conversions.
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
Watch full webinar here: https://buff.ly/3wdI1il
As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away.
Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value.
Key topics this panel will address include:
- Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh
- Deciding whether to consolidate data silos or bridge them with distributed data technologies
- Enabling easier self-service access and analytics across a distributed data environment
- Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments
- Monitoring and data observability for spotting problems and ensuring business satisfaction
Watch full webinar here: https://buff.ly/3UE5K5l
The ability to recognize and flag sensitive information within corporate datasets is essential for compliance with emerging privacy laws, for completing a privacy impact assessment (PIA) or data subject access request (DSAR), and also for cyber-insurance compliance. During this session, we will discuss data privacy laws, the challenges they present, and how they can be applied with modern tools.
Join us for the session driven by Mark Rowan, CEO at Data Sentinel, and Bhavita Jaiswal, SE at Denodo, who will show how a data classification engine augments Data Catalog to support data governance and compliance objectives.
Watch on-demand & Learn:
- Changing landscape of data privacy laws and compliance requirements
- How to create a data classification framework
- How Data Sentinel classifies data and this can be integrated into Denodo
- Using the enhanced data classifications via consuming tools such as Data Catalog and Power BI
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
Watch full webinar here: https://buff.ly/3OETC08
По данным аналитической компании Gartner, "к 2022 году 60% предприятий включат виртуализацию данных в качестве основного метода доставки данных в свою интеграционную архитектуру". Компания Gartner назвала Denodo лидером в Магическом квадранте 2020 года по инструментам интеграции данных.
В ходе этого 1,5-часового занятия вы узнаете, как виртуализация данных революционизирует бизнес и ИТ-подход к доступу, доставке, потреблению, управлению и защите данных, независимо от возраста вашей технологии, формата данных или их местонахождения. Эта зрелая технология устраняет разрыв между ИТ и бизнес-пользователями и обеспечивает значительную экономию средств и времени.
**ФОРМАТ
Онлайн-семинар продолжительностью 1 час 30 минут.
Благодаря записи вы можете выполнять упражнения в своем собственном темпе.
**ДЛЯ КОГО ЭТОТ СЕМИНАР?
ИТ-менеджеры / архитекторы
Специалисты по анализу данных / аналитики
CDO
**СОДЕРЖАНИЕ
В программе: введение в суть виртуализации данных, примеры использования, реальные примеры из практики клиентов и демонстрация возможностей платформы Denodo Platform:
Интеграция и предоставление данных быстро и легко с помощью платформы Denodo Platform 8.0
Оптимизатор запросов Denodo предоставляет данные в режиме реального времени, по запросу, даже для очень больших наборов данных
Выставлять данные в качестве "сервисов данных" для потребления различными пользователями и инструментами
Каталог данных: Открывайте и документируйте данные с помощью нашего Каталога данных
пространства для самостоятельного доступа к данным.
Виртуализация данных играет ключевую роль в управлении и обеспечении безопасности данных в вашей организации
**ПОВЕСТКА
Введение в виртуализацию данных
Примеры использования и примеры из практики клиентов
Архитектура - Управление и безопасность
Производительность
Демо
Следующие шаги: как самостоятельно протестировать и внедрить платформу
Интерактивная сессия вопросов и ответов
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
Watch full webinar here: https://buff.ly/41Zf31D
Despite recent and evolving technological advances, the vast amounts of data that exist in a typical enterprise is not always available to all stakeholders when they need it. In modern enterprises, there are broad sets of users, with varying levels of skill sets, who strive to make data-driven decisions daily but struggle to gain access to the data needed in a timely manner.
Join our webinar to learn how to:
- Unlock the Power of Your Data: Discover how data democratization can transform your organization by giving every user access to the data they need, when they need it.
- Say 'Goodbye' to Data Fragmentation: Learn practical strategies to break down data silos and foster a more collaborative and efficient data environment.
- Realize the Full Potential of Your Data: Hear success stories about industry leaders who have embraced data democratization and witnessed tangible results.
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
Watch full webinar here: https://buff.ly/48ZpEf1
In this session, we will cover a deeper dive into the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam by answering any questions that have developed since the previous session.
Additionally, we invite partners to bring any general questions related to Denodo, the Denodo Platform, or data management.
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
Watch full webinar here: https://buff.ly/3SnH5QY
2023 is coming to an end where organisations dependency on trusted, accurate, secure and contextual data only grows more challenging. The perpetual aspect in seeking new architectures, processes, organisational team structures to "get the business their data" and reduce the operating costs continues unabated. While confidence from the business in what "value" is being derived or "to be" delivered from these investments in data, is being heavily scrutinised. 2023 saw significant new releases from vendors, focusing on the Data Fabric.
At this session we will look at these topics and key takeaways for 2023, including;
- Data management and data integration market highlights for 2023
- Key achievements for Denodo in their journey as a leader in this market
- A few case studies from Australian organisations in how they are delivering strategic business value through Denodo's Data Fabric platform and what they have been doing differently
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
Watch full webinar here: https://buff.ly/3S4Y49o
A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof?
For example:
- Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation.
- Data Architectures will need to adapt to feed these powerful new models.
- Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads better.
Join us for a discussion on the most significant trends in the Data & AI space, and how you can prepare to ride this wave!
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
Watch full webinar here: https://buff.ly/3O7rd2R
Afin d’être conformes au RGPD, les entreprises ont besoin d'avoir une vue d'ensemble sur toutes leurs données et d'établir des contrôles de sécurité sur toute l'infrastructure. La virtualisation des données de Denodo permet de rassembler les multiples sources de données, de les rendre accessibles à partir d'une seule couche, et offre des capacités de monitoring pour surveiller les changements.
Pour cela, Square IT Services a développé pour l’un de ses grands clients français prestigieux dans le secteur du luxe une interface utilisateur ergonomique qui lui permet de consulter les informations personnelles de ses clients, vérifier leur éligibilité à pratiquer leur droit à l'oubli, et de désactiver leurs différents canaux de notification. Elle dispose aussi d'une fonctionnalité d'audit qui permet de tracer l'historique des opérations effectuées, et lui permet donc de retrouver notamment la date à laquelle la personne a été anonymisée.
L'ensemble des informations remontées au niveau de l'application sont récupérées à partir des APIs REST exposées par Denodo.
Dans ce webinar, nous allons détailler l’ensemble des fonctionnalités de l’application DPO-Cockpit autour d’une démo, et expliquer à chaque étape le rôle central de Denodo pour réussir à simplifier la gestion du RGPD tout en étant compliant.
Les points clés abordés:
- Contexte client face aux enjeux du RGPD
- Défis et challenges rencontrés
- Options et choix retenu (Denodo)
- Démarche: architecture de la solution proposée
- Démo de l'outil: fonctionnalités principales
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
Watch full webinar here: https://buff.ly/48zzN2h
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
How to Build Your Data Marketplace with Data Virtualization?Denodo
Watch full webinar here: https://buff.ly/4aAi0cS
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this live webinar to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
Enabling Data Catalog users with advanced usabilityDenodo
Watch full webinar here: https://buff.ly/48A4Yu1
Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities.
Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog.
Watch on-demand & Learn:
- Enhanced search capabilities using multiple terms.
- How to create workflows to manage internal requests.
- How to leverage the AI capabilities of Data Catalog to generate SQL queries from natural language.
Watch full webinar here: https://buff.ly/3vjrn0s
The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture.
This exam covers the following technical topics and subject areas:
- Denodo Platform functionality, including
- Governance and metadata management
- Security
- Performance optimization
- Caching
- Defining Denodo Platform use scenarios
Along with some sample questions, a Denodo Sales Engineer will help you prepare for exam topics and ace the exam.
Join us now to start your journey toward becoming a Certified Denodo Architect Associate!
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
Watch full webinar here: https://buff.ly/3NLMSNM
El Generative AI y los Large Language Models (LLMs), encabezados por GPT de OpenAI, han supuesto la mayor revolución en el mundo de la computación de los últimos años. Pero ¿Cómo afectan realmente a la gestión de datos? ¿Reemplazarán los LLMs al profesional de la gestion de datos? ¿Cuánto hay de mito y cuánto de realidad?
En esta sesión revisaremos:
- Que es la Generative AI y por qué es importante para la gestión de datos
- Presente y futuro de aplicación de genAI en el mundo de los datos
- Cómo preparar tu organización para la adopción de genAI
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Acute scrotum is a general term referring to an emergency condition affecting the contents or the wall of the scrotum.
There are a number of conditions that present acutely, predominantly with pain and/or swelling
A careful and detailed history and examination, and in some cases, investigations allow differentiation between these diagnoses. A prompt diagnosis is essential as the patient may require urgent surgical intervention
Testicular torsion refers to twisting of the spermatic cord, causing ischaemia of the testicle.
Testicular torsion results from inadequate fixation of the testis to the tunica vaginalis producing ischemia from reduced arterial inflow and venous outflow obstruction.
The prevalence of testicular torsion in adult patients hospitalized with acute scrotal pain is approximately 25 to 50 percent
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
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Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
Building an Intelligent Biobank to Power Research Decision-Making
1. Lori Ball, Chief Operating Officer, President of Integrated Client Solutions,
BioStorage Technologies, Inc.
Brian J. Brunner, Senior Manager, Clinical Practice, LabAnswer
Suresh Chandrasekaran, Senior Vice President, Denodo Technologies
Building an Intelligent Biobank to
Power Research Decision-Making
2. 1:00 – 1:05 pm Workshop Introduction by ISBER
1:05 – 1:15 pm Research Sample Intelligence: The Growing Need for Global Data Integration
Lori Ball, Chief Operating Officer, President of Integrated Client Solutions,
BioStorage Technologies, Inc.
1:15-1:25 pm Building a Research Data Integration Plan and Cloud Sourcing Strategy
Brian J. Brunner, Senior Manager Clinical Practice, LabAnswer
1:25-1:35 pm How Data Virtualization Works and the Value it Delivers
Suresh Chandrasekaran, Senior Vice President, Denodo Technologies
1:35 -2:00 pm Panel led Workshop Questions
2:00 -2:15 pm Panel Solution Discussion
2:20 – 2:30 pm Participant Q&A
Agenda
3. Lori Ball
Lori Ball, MBA
Chief Operating Officer, President of Integrated
Client Solutions
BioStorage Technologies, Inc.
Research Sample Intelligence:
The Growing Need for Global
Data Integration
4. Biobank
Sample and Data Stakeholders
Biobank Inventory Managers
Manage sample inventories at biobanks to
support research scientist requests
Research Scientists and Organizations
Require samples to support translational science,
biomarker development and research studies
(ex. Industry, Academia, Foundations, Government,
Hospitals, Research Institutes)
Biobank Operations Personnel
Support biobank managers in day-to-day
management of sample storage, logistics,
retrieval, materials and data management.
Patients and Physicians
Collect samples from patients to utilize for
testing, diagnosis and therapy decisions
5. Development of effective data management
systems is the #1 challenge to individuals
managing biobanks today.1
Analysis of sample data enables us to detect
genetic differences in individuals which can
improve therapy decisions and success.
• 30% of patients over-express the
HER2 protein and are unresponsive to
standard therapy
• 60% of melanoma patients who have the
B-Raf protein were not effectively treated for
skin cancer until vemurafenib was developed
in 2011
Personalized Medicine requires
Samples and Data
“Researchers and doctors both rely heavily on biorepositories to provide them with high-
quality samples that they need to advance personalized medicine and to treat patients.”1
Source:
1 IQPC Global Biobanking Study, February 2015
BiopharmaAcademics
Hospitals
Non-Profits
Laboratories
Research
Institutions
The most important part of data management
6. • Sample and Data Types – Range of
complexity
• Data Sources - >25B connected devices
today and >50B estimated by 2020
• Data Virtualization (Data Integration) –
Broad virtual data access with open APIs
• Data Visualization – Intuitive, flexible
decision-support
• Data Devices / Tools – Need for standards
• Data Analytics / Analysis Tools
Global Sample Data Integration
Considerations
1Centerwatch, “Cloud Computing Expanding into All Areas of Clinical Trial Conduct”, August 2014
“As cloud computing extends its reach into clinical trials, data analysis, analytics and
visualization are becoming key areas demanded by trial managers1”
7. Value of
Global Sample Data Integration
● Consolidate global
sample inventory data
● Virtually connect
global sample data to
relevant research data
● Access sample data
anytime from the
cloud from anywhere
in the world.
● Create visual
dashboards and
reports of sample data
to support analytics
and deliver business
insights
● Assess the quality
and value of samples
stored for future
research
● Select the best
samples that are
consented for
research
● Dispose of samples
not needed or
compromised
● Determine which
sample data and
assets to utilize or
share with research
partners
Virtualization Visualization Valorization
8. Development of effective data management systems is the #1 challenge
facing individuals managing biobanks today.1
Global Sample Data Integration
Opportunities / Challenges
Sources: 1 PharmaVoice, “The Internet of Things, March 2015
Consolidated
Data Center /
Logical Data
Warehouse
SAS
SQL
Oracle
ERP
Data Integration
(physical & virtual)
Cloud Storage Virtualization
Valorization
Visualization
“Technology promises to deliver more value to clinical trials as it enables a real-time view of
the patient experience and collects data that had previously gone uncaptured.”2
Laboratory
Data LIMS
Clinical Trial Data
CTMS
Biobank Data
SMS
Biorepository Data
SMS
Researcher
Data
SDMS
Hospital/Clinic
Data
SDMS
Consent
9. Brian J. Brunner
Building a Research Data
Integration Plan and Cloud
Sourcing Strategy
Brian J. Brunner
Senior Manager, Clinical Practice
LabAnswer
10. Development of effective data management systems is the #1 challenge
facing individuals managing biobanks today.1
Global Sample Data Integration
Opportunities / Challenges
Sources: 1 PharmaVoice, “The Internet of Things, March 2015
“Technology promises to deliver more value to clinical trials as it enables a real-time view of
the patient experience and collects data that had previously gone uncaptured.”2
There are 3 primary strategies in the market today for Sample Data Integration:
1. Systems Consolidation
2. Systems Integration
3. Systems Externalization
All of these strategies include an Integration Platform, Harmonized Data Store and
Visualization to enable a single view into Sample Data.
These options will be discussed in the context of cost, complexity and maintenance
On a scale of 1 – 5 with 5 being the highest
11. • Create a single, consolidated and integrated view to all sample data
• Integration can be either traditional ETL, ESB or Virtualized Database
• Integration requires interfaces with a wide range of systems
• Client and External source data is integrated as required
Operational Data Stores Integration Platform Analytics/Decision Support
Global Sample Data Integration
Laboratory Data
LIMS
Clinical Trial
Data
CTMS
Biobank
Data SMS
Biorepository
Data
SMS
Researcher
Data
SDMS
Hospital/Clinic
Data
SDMS
Consent
Data Aggregation & Visualization Model
12. Systems Consolidation
Global Sample Data Integration
Opportunities / Challenges
Cost: 5
- Cost to transition all systems
- Infrastructure
- SW Costs
Complexity: 4
- Challenge to harmonize and
standardize during development
- Challenge for single platform
Maintenance: 2
- Lower integration cost ongoing
- Internal System Dependencies
considered for system changes
Internal Data External Data Internal Data External Data
Visualization
Harmonized
Data Store
Integration
Assume: Mass Systems Consolidation, ETL/ESB Integration, Internal Infrastructure
13. Systems Integration
Global Sample Data Integration
Opportunities / Challenges
Cost: 4
- Cost to integrate all systems
- Infrastructure Costs
- SW Costs
Complexity: 3
- Need harmonize internal data
through integration platform
- Need to integrate ext data
Maintenance: 3
- Integration cost ongoing
- Ongoing Infrastructure and SW
maintenance cost
Internal Data External Data
Visualization
Harmonized
Data Store
Integration
Internal Data External Data
Integration
Assume: ETL/ESB Integration, Complex Master Data Management (MDM), Internal Infrastructure
14. Systems Externalization
Global Sample Data Integration
Opportunities / Challenges
Cost: 2
- Cost to integrate systems
- SW & Infra costs are leased
- Data Virt lowers integrate cost
Complexity: 3
- Need to harmonize internal data
through integration platform
- Need to integrate ext. data
Maintenance: 2
- Integration cost reduced
- SW & Infra are elastic with
demand and growth
Internal Data External Data
Internal Data External Data
Visualization
Harmonized
Data Store
Integration
Assume: Data Virtualization & Integration Platform, Complex MDM, Cloud Infrastructure
15. • The Cloud Security Alliance defines cloud computing as:
Cloud computing (‘cloud’) is an evolving term that describes the development of many existing
technologies and approaches to computing into something different. Cloud separates
application and information resources from the underlying infrastructure, and the mechanisms
used to deliver them.
• Other perspectives:
– Cloud computing is processing and storing of data as a service outside of the traditional
processing that takes place inside an organization
– Enables organizations to treat data as a commodity that can be processed, transformed and
delivered by outside organizations in a secure, compliant manner
• Amazon Web Services approved by U.S. DoD as a Service Provider
http://www.informationweek.com/government/cloud-computing/amazon-cloud-services-wins-dod-authorization/d/d-id/1141529
• Other Resources:
– EU Agency for Network and Information Security Risk Assessment Tool
http://www.enisa.europa.eu/activities/risk-management/files/deliverables/cloud-computing-risk-assessment
– DoD Guidance on Cloud Computing
Cloud Sourcing Discussion
16. Data Integration Strategy Summary
Operational Data Stores Integration Layer Analytics/Decision Support
Selecting the Right Data Integration Strategy
Laboratory Data
LIMS
Clinical Trial
Data CTMS
Biobank
Data SMS
Biorepository
Data
SMS
Researcher
Data
SDMS
Hospital/Clinic
Data
SDMS
Consent
• Consolidate Duplicative Systems, utilize COTS Platforms as basis for Core Systems
• Cloud Platform used for secure processing and storage; elastic based on need
• Data Virtualization enables agile, flexible data integration
• External Service providers can be used to process, harmonize and visualize data
18. What is Data Virtualization?
Data Virtualization combines disparate data sources into a single “virtual” data
abstraction layer (aka information fabric) that provides unified access and integrated
data services to consuming applications in real-time (right-time).
Base View Base View
Base View
Derived View
Connect
&
Virtualize
Combine
&
Integrate
Publish
as a Data
Service
Data Service
(SQL, SOAP, REST,
Widgets …)
19. DV Enables Agile Info
Architecture – Many to Many
Data Services
Agile BI & Apps
Faster Solution
Optimized
Performance
Any Data,
Anywhere
Integrate New
Sources
BI /Reporting Analytics Visualization Data SharingApplication
20. Data Virtualization in
Life Sciences
Disparate Data
Any Source
Any Format
Data Virtualization
Right Information
at the Right Time
Business Solutions
Access Information-
as-a-Service
21. Bio Sample and Research
Intelligence
Data Virtualization Functions
• Access heterogeneous data sources
• Create logical abstraction layer
• Deliver canonical business views
• Data services – access anywhere
• Agile data integration and quality
• Minimize replication (cost, time)
• Enterprise to cloud scalable, secure
Business Need
(Canonical Views)
Real World
(Source Data Views)
Data Virtualization Layer
TrialCRO
Samples
Clients
Consent
Laboratory Data
LIMS
Clinical Trial
Data
CTMS
Biobank
Data SMS
Biorepository
Data
SMS
Researcher
Data
SDMS
Hospital/Clinic
Data
SDMS
Consent
22. Major Companies Find
Compelling Benefits
NNSA's Product Realization Integrated Digital
Enterprise (PRIDE) program is built on a data
virtualization fabric
“Accessing and aggregating data from
different NNSA sites would not be possible
without Data Virtualization. It expedites
projects by enabling fast and secure
movement of data through different
facilities.“ - Stephanie Elsea, Pantex Plant,
NNSA
23. Top CIOs in Life Sciences Use
Agile Data & Cloud Intelligence
Amgen, a $17.3 billion pharmaceutical company uses
statistical analysis of data points collected in real time.
The analytics system includes virtualized data
warehousing tools from Denodo. Amgen can draw
conclusions much faster than in the past, says CIO Diana
McKenzie.
Now You Can Too!
25. Take 2 minutes and discuss as a table
Write down common issues on note cards
WORKSHOP QUESTION #1
What is your current state of sample data integration?
26. Take 2 minutes and discuss as a table
Write down common issues on note cards
WORKSHOP QUESTION #2
What does an intelligent biobank look like to you?
27. Take 2 minutes and discuss as a table
Write down common issues on note cards
WORKSHOP QUESTION #3
What obstacles are preventing your success?