Massivement Parallèle avec PDW !

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Comment évoluer vers les Big Data avec Microsoft SQL Server Parallel Data Warehouse et Hadoop? Il existe aujourd'hui des solutions clé en main basées sur SQL Server répondant à tous vos besoins, sous forme d'architectures de références ou d'Appliance. Ces appliances prêtes à l'emploi vous permettent d'accélérer vos déploiements, réduire vos risques et optimiser votre TCO. Pour faciliter le lien entre le monde des entrepôts de données et celui des Big Data, Polybase propose un accès familier à toutes vos données relationnelles ou non grâce à l’utilisation de commandes T-SQL classiques. Venez découvrir ce qui se cache sous le capot de ces drôles de machines, et les bénéfices que vous pouvez en tirer ! Speakers : Gilbert Breton (Microsoft), Lionel Pénuchot (Microsoft)

Tecnologia

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Claviers, souris et jeux Microsoft…
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Business Intelligence

Massivement Parallèle avec
PDW !
Lionel Pénuchot
Gilbert Breton

Business Intelligence

L’approche traditionnelle d’un DWH

Data sources

#mstechdays

Business Intelligence

L’approche traditionnelle d’un DWH

Data sources
Non-Relational Data

#mstechdays

Business Intelligence

Modernisation d’un projet décisionnel


Data sources

#mstechdays

Non-Relational Data

Business Intelligence

Scale-out données relationnelles
Scale out technologies in SQL Server Parallel Data
Warehouse

#mstechdays

Business Intelligence

Scale-out données non relationnelles
Scale out non-relational data in HDInsight (for Azure or
PDW)

#mstechdays

Business Intelligence

Financial Risk Management System Use
case

• Basel III implementation on PDWImprovement Scale factor
Improvement
# Contracts x 1 SMP (Extrapolated) 4 Node
10 Node
4 node MPP
10 node MPP vs 4 vs 10
Million• RDBMS> PDW
hour:min
PDW
SMP
nodes
Windows HPC vs SMP
computation farm55 min
8 min 18sec 3 min 30sec
1
6.6x
15.7x
2.4x
02 hr 45 store 50sec aggregate
3 > PDWmin 25 minand 9 min 52sec
6.4x
16.7x
2.6x
32 min
9 hr 9minaggregation daily
1 hr 40min
•
26sec
10 Run the
5.5x
16.9x
3.1x
25
50

#mstechdays

22 hr 52min 4 hr 31min
1day
9 hr 35min
21 hr 45min

1 hr 29min

5.1x

15.4x

3.0x

3 hr 7 min

4.8x

14.7x

3.1x

Business Intelligence

SCALE-OUT WITH MPP
TECHNOLOGIES IN PDW

#mstechdays

Business Intelligence

Traitement In-Memory

#mstechdays

Business Intelligence

Insight en quasi temps réel

#mstechdays

Business Intelligence

Retail industry Use case
• 30 users, 6 TB of data (5 years of history)
• Daily volumes: 50 million rows
• Bank data for customer and fraud analysis
– Weekly analysis of deviance and strange transactions, suspect of money
laundry.

• Retail data for customer purchase analysis on receipt line level
– For example backtracking last 6 months per customer, per product and per
category; resulting in marketing offers such as “you like item A, other who
Item A also purchase item B” etc.

• Now queries cover half a year of data complete in 1.5 minute
on PDW compared to 8 minutes covering a month of data on
traditional DW.
#mstechdays

Business Intelligence

IN-MEMORY COLUMNSTORE
FOR
NEXT-GEN PERFORMANCE
#mstechdays

Business Intelligence

Exploration de données non relationnelles
Windows
Azure

#mstechdays

Business Intelligence

Intégration avec Polybase
SQL

#mstechdays

PolyBase

Result set

Business Intelligence

POLYBASE TO JOIN
RELATIONAL
AND NON-RELATIONAL DATA
#mstechdays

Business Intelligence

Différentes options de déploiement

#mstechdays

Business Intelligence

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Une architecture hybride était souvent vue comme un déploiement temporaire pour la transition vers le Cloud Microsoft. Cependant, avec l'arrivée de SharePoint Server 2016, qui a été conçu et inspiré depuis Office 365, beaucoup d’organisations sont à la recherche de moyens pour combiner leurs investissements SharePoint existants avec le Cloud. Un déploiement hybride est la voie à suivre pour de nombreuses organisations au moins pour quelques années encore. Au cours de cette session, nous vous proposons de revenir sur les scenarios déjà existants ainsi que les nouveautés. Que ce soit OneDrive for Business, la recherche, les sites SharePoint, Delve, Delve Analytics, Power BI ou encore les Groupes Office 365, Video ou Planner, nous verrons ensemble comment une topologie hybride peut vous permettre dès maintenant de tirer le potentiel maximum de vos infrastructures SharePoint.

SharePoint 2016 : architecture, déploiement et topologies hybrides

Microsoft Technet France

" Avec des utilisateurs mobiles et autonomes, le MDM est une solution de choix pour une gestion légère et efficace des périphériques Windows 10. Cette session est l'occasion de montrer, à travers quelques démonstrations de Microsoft Intune et Azure AD, comment l'identité est au centre de cette gestion et de nouveaux scénarios. Nous vous démontrerons comment déployer des applications universelles métier en entreprise, par exemple, pour faire des achats en volume, pour la facturation ou l'utilisation d'identités professionnelles. avec le Windows Store pour Entreprises."

Gestion de Windows 10 et des applications dans l'entreprise moderne

Microsoft Technet France

Office 365 dans votre Système d'Informations

Microsoft Technet France

Mais de Microsoft Technet France (20)

Automatisez, visualisez et améliorez vos processus d’entreprise avec Nintex

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Protéger vos données avec le chiffrement dans Azure et Office 365

Protéger votre patrimoine informationnel dans un monde hybride avec Azure Inf...

Comprendre la stratégie identité de Microsoft

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Supervisez la qualité des appels Skype for Business Online à l'aide de Call Q...

SharePoint 2016 : architecture, déploiement et topologies hybrides

Gestion de Windows 10 et des applications dans l'entreprise moderne

Office 365 dans votre Système d'Informations

Último

How to convert PDF to text with Nanonets

naman860154

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Earley Information Science

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

🐬 The future of MySQL is Postgres 🐘

RTylerCroy

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

Tech Trends Report 2024 Future Today Institute.pdf

hans926745

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Partners Life - Insurer Innovation Award 2024

The Digital Insurer

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The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

CNv6 Instructor Chapter 6 Quality of Service

giselly40

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Handwritten Text Recognition for manuscripts and early printed texts

Maria Levchenko

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

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12. Financial Risk Management System Use case • Basel III implementation on PDWImprovement Scale factor Improvement # Contracts x 1 SMP (Extrapolated) 4 Node 10 Node 4 node MPP 10 node MPP vs 4 vs 10 Million• RDBMS> PDW hour:min PDW SMP nodes Windows HPC vs SMP computation farm55 min 8 min 18sec 3 min 30sec 1 6.6x 15.7x 2.4x 02 hr 45 store 50sec aggregate 3 > PDWmin 25 minand 9 min 52sec 6.4x 16.7x 2.6x 32 min 9 hr 9minaggregation daily 1 hr 40min • 26sec 10 Run the 5.5x 16.9x 3.1x 25 50 #mstechdays 22 hr 52min 4 hr 31min 1day 9 hr 35min 21 hr 45min 1 hr 29min 5.1x 15.4x 3.0x 3 hr 7 min 4.8x 14.7x 3.1x Business Intelligence

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