ADN et génotypage - Présentation de la 5e édition du Cours international « Atelier Paludisme » - Célestin RAZAFINJATO - Médecin - INSPC - Antananarivo, Madagascar - razafinjatocelestin@yahoo.fr
The document provides an overview of the IT4IT reference architecture, which defines end-to-end integrated value streams for IT operations. It describes the five main value streams - Strategy to Portfolio, Requirement to Deploy, Request to Fulfill, Detect to Correct, and their associated phases and activities. It also maps HPE software products to the components of the reference architecture.
The presentation discusses master data management and reference data. It covers defining key data, assessing the impact of MDM, creating a common data quality vision, and the importance of an enterprise data model. Specific topics include the data architecture, mapping vendor data to standard definitions, how MDM provides a single customer view, the role of the customer master index, and how MDM supports both CRM and BI applications.
The ADD is acronym of Assess, Design and Deliver. This is a model, not a framework, that describes how the ITIL consultancy delivers not dictates the consultants to follow. As of the ITIL is a best practices framework, its implementation will vary from organization to another, that keep the consultancy project success ties with delivery approach. So, I tried to put a holistic model starting with assessment through design till delivery.
The document discusses two popular enterprise architecture frameworks - TOGAF and Zachman. It provides an overview of what enterprise architecture is, its key drivers and benefits. It then describes the major components of TOGAF including the Architecture Development Method (ADM) and supporting artifacts. Next, it outlines the Zachman Framework and how it classifies architectures based on perspectives and communication questions. Finally, it summarizes the benefits architectures provide including standardized processes, reduced complexity and improved decision making.
This document discusses features of self-tuning row caching in Cassandra including:
1) Caching entire merged rows to avoid fragment caching and reduce CPU and disk IO.
2) Automatically determining memory usage for each row cache.
3) Supporting SSD and HDD volumes in the same cluster by pinning tables to optimal media.
4) Providing the most recent data for requested rows across the distributed system through locking and commit logs.
ADN et génotypage - Présentation de la 5e édition du Cours international « Atelier Paludisme » - Célestin RAZAFINJATO - Médecin - INSPC - Antananarivo, Madagascar - razafinjatocelestin@yahoo.fr
The document provides an overview of the IT4IT reference architecture, which defines end-to-end integrated value streams for IT operations. It describes the five main value streams - Strategy to Portfolio, Requirement to Deploy, Request to Fulfill, Detect to Correct, and their associated phases and activities. It also maps HPE software products to the components of the reference architecture.
The presentation discusses master data management and reference data. It covers defining key data, assessing the impact of MDM, creating a common data quality vision, and the importance of an enterprise data model. Specific topics include the data architecture, mapping vendor data to standard definitions, how MDM provides a single customer view, the role of the customer master index, and how MDM supports both CRM and BI applications.
The ADD is acronym of Assess, Design and Deliver. This is a model, not a framework, that describes how the ITIL consultancy delivers not dictates the consultants to follow. As of the ITIL is a best practices framework, its implementation will vary from organization to another, that keep the consultancy project success ties with delivery approach. So, I tried to put a holistic model starting with assessment through design till delivery.
The document discusses two popular enterprise architecture frameworks - TOGAF and Zachman. It provides an overview of what enterprise architecture is, its key drivers and benefits. It then describes the major components of TOGAF including the Architecture Development Method (ADM) and supporting artifacts. Next, it outlines the Zachman Framework and how it classifies architectures based on perspectives and communication questions. Finally, it summarizes the benefits architectures provide including standardized processes, reduced complexity and improved decision making.
This document discusses features of self-tuning row caching in Cassandra including:
1) Caching entire merged rows to avoid fragment caching and reduce CPU and disk IO.
2) Automatically determining memory usage for each row cache.
3) Supporting SSD and HDD volumes in the same cluster by pinning tables to optimal media.
4) Providing the most recent data for requested rows across the distributed system through locking and commit logs.
- Credit Suisse is a global financial services company providing banking services to companies, institutional clients, high-net-worth individuals, and retail clients in Switzerland. It has over 48,000 employees across over 50 countries.
- Reference data is foundational data used across business transactions, such as client, product, and legal entity data. Consistent reference data is important for accurate reporting and analysis. However, Credit Suisse currently faces challenges of inconsistent views of reference data across applications.
- Credit Suisse's vision is to implement a multi-domain reference data management strategy using a central platform to provide consistent, validated reference data across the organization and reduce complexity.
Solution architecture for big data projects
solution architecture,big data,hadoop,hive,hbase,impala,spark,apache,cassandra,SAP HANA,Cognos big insights
This document discusses data governance and data architecture. It introduces data governance as the processes for managing data, including deciding data rights, making data decisions, and implementing those decisions. It describes how data architecture relates to data governance by providing patterns and structures for governing data. The document presents some common data architecture patterns, including a publish/subscribe pattern where a publisher pushes data to a hub and subscribers pull data from the hub. It also discusses how data architecture can support data governance goals through approaches like a subject area data model.
This document reviews several existing data management maturity models to identify characteristics of an effective model. It discusses maturity models in general and how they aim to measure the maturity of processes. The document reviews ISO/IEC 15504, the original maturity model standard, outlining its defined structure and relationship between the reference model and assessment model. It discusses how maturity levels and capability levels are used to characterize process maturity. The document also looks at issues with maturity models and how they can be improved.
Digital Transformation And Enterprise ArchitectureAlan McSweeney
Digital transformation - extending and exposing business processes outside the organisation - by implementing a digital strategy – a statement about the organisation’s digital positioning, operating model, competitors and customer and collaborator needs and behaviour through the delivery of digital solutions defined in a digital architecture – a future state application, data and technology view to achieve digital operating status - is potentially (very) complex.
Digital architecture does not exist in isolation entirely separate from an organisation’s overall enterprise architecture. Digital architecture must exist within the within the wider enterprise architecture context.
Enterprise architecture provides the tools and the approaches to manage the complexity of digital transformation.
The management function that drives digital transformation needs to involve the enterprise architecture function in the design and implementation of digital strategy and organisation, process and policies and the creation of a digital architecture. Management must appreciate the technology focus and the benefits of an enterprise architecture approach.
The early involvement of enterprise architecture increases successes and reduces failures. Management must trust and involve enterprise architecture. The enterprise architecture function must accept and rise to the challenge and deliver. The enterprise architecture function must allow its value to be measured.
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
What is the best Healthcare Data Warehouse Model for Your Organization?Health Catalyst
Join Steve Barlow as he addresses the strengths and weaknesses of each of the following three primary Data Model approaches for data warehousing in healthcare:
1. Enterprise Data Model
2. Independent Data Marts
3. Late-binding Solutions
Organisation nucléaire et régulation des activités transcriptionnelles - Parole de junior de la 7e édition du Cours international « Atelier Paludisme » - Martin Catherine - France - catherine.Martin-2@manchester.ac.uk
Description d'un essai clinique prospectif pour le traitement neuroprotecteur du neuropaludisme - Conférence de la 5e édition du Cours international « Atelier Paludisme » - Stéphane PICOT - Hôpital E. Herriot, Lyon, France - picot@rockefeller.univ-lyon1.fr
En matière d’étude du développement normal ou d’agénésie du corps calleux, l’IRM en diffusion a le potential d'établir le
diagnostic anté-natal et le pronostic neurologique in utero.
- Credit Suisse is a global financial services company providing banking services to companies, institutional clients, high-net-worth individuals, and retail clients in Switzerland. It has over 48,000 employees across over 50 countries.
- Reference data is foundational data used across business transactions, such as client, product, and legal entity data. Consistent reference data is important for accurate reporting and analysis. However, Credit Suisse currently faces challenges of inconsistent views of reference data across applications.
- Credit Suisse's vision is to implement a multi-domain reference data management strategy using a central platform to provide consistent, validated reference data across the organization and reduce complexity.
Solution architecture for big data projects
solution architecture,big data,hadoop,hive,hbase,impala,spark,apache,cassandra,SAP HANA,Cognos big insights
This document discusses data governance and data architecture. It introduces data governance as the processes for managing data, including deciding data rights, making data decisions, and implementing those decisions. It describes how data architecture relates to data governance by providing patterns and structures for governing data. The document presents some common data architecture patterns, including a publish/subscribe pattern where a publisher pushes data to a hub and subscribers pull data from the hub. It also discusses how data architecture can support data governance goals through approaches like a subject area data model.
This document reviews several existing data management maturity models to identify characteristics of an effective model. It discusses maturity models in general and how they aim to measure the maturity of processes. The document reviews ISO/IEC 15504, the original maturity model standard, outlining its defined structure and relationship between the reference model and assessment model. It discusses how maturity levels and capability levels are used to characterize process maturity. The document also looks at issues with maturity models and how they can be improved.
Digital Transformation And Enterprise ArchitectureAlan McSweeney
Digital transformation - extending and exposing business processes outside the organisation - by implementing a digital strategy – a statement about the organisation’s digital positioning, operating model, competitors and customer and collaborator needs and behaviour through the delivery of digital solutions defined in a digital architecture – a future state application, data and technology view to achieve digital operating status - is potentially (very) complex.
Digital architecture does not exist in isolation entirely separate from an organisation’s overall enterprise architecture. Digital architecture must exist within the within the wider enterprise architecture context.
Enterprise architecture provides the tools and the approaches to manage the complexity of digital transformation.
The management function that drives digital transformation needs to involve the enterprise architecture function in the design and implementation of digital strategy and organisation, process and policies and the creation of a digital architecture. Management must appreciate the technology focus and the benefits of an enterprise architecture approach.
The early involvement of enterprise architecture increases successes and reduces failures. Management must trust and involve enterprise architecture. The enterprise architecture function must accept and rise to the challenge and deliver. The enterprise architecture function must allow its value to be measured.
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
What is the best Healthcare Data Warehouse Model for Your Organization?Health Catalyst
Join Steve Barlow as he addresses the strengths and weaknesses of each of the following three primary Data Model approaches for data warehousing in healthcare:
1. Enterprise Data Model
2. Independent Data Marts
3. Late-binding Solutions
Organisation nucléaire et régulation des activités transcriptionnelles - Parole de junior de la 7e édition du Cours international « Atelier Paludisme » - Martin Catherine - France - catherine.Martin-2@manchester.ac.uk
Description d'un essai clinique prospectif pour le traitement neuroprotecteur du neuropaludisme - Conférence de la 5e édition du Cours international « Atelier Paludisme » - Stéphane PICOT - Hôpital E. Herriot, Lyon, France - picot@rockefeller.univ-lyon1.fr
En matière d’étude du développement normal ou d’agénésie du corps calleux, l’IRM en diffusion a le potential d'établir le
diagnostic anté-natal et le pronostic neurologique in utero.
Les protéines sont essentielles au bon fonctionnement cellulaire et sont aujourd’hui des cibles d’intérêt thérapeutique. Cette formation aborde les différentes approches permettant aujourd’hui d’étudier la dynamique des protéines dans leur environnement cellulaire avec de nouvelles techniques d’analyse en temps réel :
- Translocation
- Interactions protéiques
- Modélisation de voies de signalisation cellulaires
- Changements de conformation
Présentation donnée à Forum Labo Paris 2017 par Mourad FERHAT, Ph.D (Promega France)
Dynamique intracellulaire des protéines en temps réel
Communiqué_IrisFP
1. Di re c t i o n de l a c ommu ni c at i o n
Se r v i c e In f o rmat i o n -mé di a s
Fontenay-aux-Roses, le 19 novembre 2008
Communiqué de presse
Un commutateur biologique au service de l’imagerie
Des chercheurs de l’Institut de Biologie Structurale Jean-Pierre Ebel (IBS, Institut mixte CEA-
CNRS-Université Joseph Fourier, Grenoble) et de l’ESRF (European Synchrotron Radiation
Facility, Grenoble), en collaboration avec des équipes allemandes et anglaises, viennent de
développer une nouvelle protéine fluorescente dérivée de la GFP (green fluorescent protein).
Cette protéine, Iris-FP, devrait permettre de suivre avec une très haute résolution la dynamique
spatio-temporelle des protéines par microscopie. Ces résultats, qui apportent de nouvelles
perspectives en nanoscopie
1
et en biophotonique
2
, viennent d’être publiés en ligne par la revue
Proceedings of the National Academy of Sciences (PNAS).
En plein essor ces dernières années, la nanoscopie regroupe l’ensemble des techniques de microscopie
permettant d’obtenir une résolution spatiale de l’ordre de quelques dizaines de nanomètres. Une
résolution bien supérieure à celle de la microscopie optique traditionnelle.
Une de ces techniques est basée sur l’utilisation de nouvelles protéines fluorescentes dérivées de la
protéine naturelle GFP, dont la fluorescence peut être modulée de façon contrôlée. Afin d’améliorer ce
principe, de nombreuses équipes de biologie structurale tentent de développer de nouvelles protéines
fluorescentes. Parmi ces nouvelles générations de protéines, certaines possèdent la propriété d’être
photocommutables, c'est-à-dire qu’elles peuvent être « allumées » ou « éteintes » sur commande.
D’autres, capables de photoconversion, ont la capacité de changer de couleur de façon contrôlée
quand elles sont excitées par la lumière d’un laser.
Dans cette étude récemment publiée par la revue PNAS, les chercheurs ont développé une nouvelle
protéine, Iris-FP, qui présente la particularité de posséder ces deux propriétés. Le rayonnement X de
l’ESRF leur a permis d’obtenir sa structure et d’en caractériser toutes les formes lumineuses.
Iris-FP est un marqueur très flexible et un outil qui va permettre d’améliorer encore les techniques de
microscopie. En effet, fusionnée par génie génétique avec une protéine donnée, Iris-FP devrait permettre
de faire un suivi dynamique très précis des mouvements de cette protéine dans la cellule, dans
l’espace et au cours du temps.
Au-delà de leur utilisation en microscopie, le développement de ces nouvelles sondes fluorescentes
ouvre de nouvelles perspectives dans le domaine des nanotechnologies. Des applications novatrices
peuvent ainsi être envisagées comme, par exemple, la conception de mémoires de stockage basées sur
le changement de couleur de cristaux de ces protéines. En perspective, la possibilité de stocker un
nombre considérable d’informations dans des structures de taille nanométrique.
1
Nanoscopie : techniques de microscopie optique permettant d’observer des nanoparticules ou nano-objets
2 Biophotonique : l'utilisation des rayons visibles, des rayons ultra-violets, des rayons infrarouges, voire des rayons X
pour l'analyse ou la modification d'objets biologiques
2. Au centre, la structure de la protéine Iris-FP obtenue par cristallographie aux rayons X. Autour, toutes les formes
allumées/éteintes, rouges/vertes de la protéine. (Crédit photo : V. Adam)
--------------------------------------------------------
Référence de l’article :
Virgile Adam, Mickaël Lelimousin, Susan Boehme, Guillaume Desfonds, Karin Nienhaus, Martin J. Field, Joerg Wiedenmann, Sean
McSweeney, G. Ulrich Nienhaus, and Dominique Bourgeois. Structural characterization of IrisFP, an optical highlighter undergoing
multiple photo-induced transformations. Proceedings of the National Academy of Sciences online the 14th of november 2008.
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Référence des équipes de recherche :
Institut de Biologie Structurale Jean-Pierre Ebel, Commissariat à l’Energie Atomique, Centre National de la Recherche Scientifique,
Université Joseph Fourier, 41 Rue Jules Horowitz, 38027 Grenoble, France
European Synchrotron Radiation Facility, 6 Rue Jules Horowitz, BP 220, 38043 Grenoble Cedex, France
Institute of Biophysics, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany
National Oceanography Centre, University of Southampton, Southampton SO14 3ZH, United Kingdom
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Contacts presse:
CEA Damien Larroque – 01 64 50 20 97 – damien.larroque@cea.fr
UJF Muriel Jakobiak – 04 76 51 44 98 – muriel.jakobiak@ujf-grenoble.fr
CNRS Priscilla Dacher – 01 44 96 46 06 – priscilla.dacher@cnrs-dir.fr
ou – 01 44 96 51 51 – presse@cnrs-dir.fr
ESRF Montserrat Capellas– 04 76 88 26 63
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Contact chercheur :
Dominique Bourgeois, directeur de recherche au CNRS – 04 38 78 96 44 – dominique.bourgeois@ibs.fr
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