Regardez la version complète du webinar à la demande ici: https://goo.gl/ZxRqmX
"D'ici à 2020, 50% des entreprises mettront en œuvre une forme de virtualisation des données comme une option pour l'intégration de données", selon le cabinet d’analystes Gartner. La virtualisation des données ou data virtualization est devenue une force motrice pour les entreprises pour la mise en œuvre d’une architecture de données d'entreprise agile, temps réel et flexible.
Au sommaire de ce webinar:
Denodo et son positionnement sur le marché de la Data Virtualization
Les principales fonctionnalités
Démo/vidéo
Les principaux cas d’usage. Présentation d'un cas client : comment Intel a repensé l’architecture de ses données avec la Data Virtualization
Les ressources
Questions/Réponses
Enabling a Culture of Self-Service AnalyticsPrecisely
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
Why Data Virtualization Matters in Your PortfolioDenodo
Watch full webinar here: [https://buff.ly/2W925vO]
Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. In this webinar, Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, will address:
Data virtualization market growth trends and momentum
Key solutions and use cases
How leaders like Denodo are differentiating from other vendors in the market
Learn about the organizational and architectural strategies needed to make self-service analytics successful. Self-service is more about process and training instead of only focusing on tools.
Download this research to read about self-service architecture in detail:https://www.eckerson.com/articles/a-reference-architecture-for-self-service-analytics
If you need help with self-service analytics, data architecture or data management, contact us on the following link: https://www.eckerson.com/consulting
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...Denodo
Voir: https://bit.ly/2Oycfnn
À l’ère du numérique, la digitalisation et modernisation des services financiers sont plus que jamais requises compte tenu de leur rôle clé dans les processus de prise de décisions et le pilotage de la performance. Les directions financières nécessitent ainsi de fournir des informations fiables et vérifiées, tout en répondant aux exigences de gouvernance et de sécurité. À cela s’ajoute, l’étendue de leurs fonctions qui comprend désormais l’analyse prédictive des données. Cependant, ce pôle stratégique est souvent confronté à des défis tels que le difficile accès à la donnée ou la faible automatisation des tâches.
La Data Virtualization ou virtualisation des données permet d’accroître la valeur ajoutée de la fonction finance et il s’agit d’un levier qui permet de consacrer le plus du temps à l'analyse prédictive au détriment de la collecte et la consolidation depuis les différentes sources de données. Visionnez ce webinar pour découvrir comment la Data Virtualization permet de :
- Donner plus d'autonomie à la finance vis-à-vis de l'informatique, tant sur la modification des paramétrages, que sur la modélisation des règles de gestion, sur les éditions …
- Éviter la saisie multiple d'informations, de nombreux retraitements manuels, et procéder à différentes simulations.
- Effectuer des analyses multidimensionnelles
- Passer plus de temps sur les tâches à valeur ajoutée
- Utiliser, dans un seul outil, les données en provenance de plusieurs sources
- Se concentrer sur l’analyse plutôt que sur la consolidation des données
- Garantir la rigueur du reporting institutionnel
… et bien plus encore ! La séance comprend une démo live de cette technologie appliquée à l’analyse prédictive.
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
The Role of the Logical Data Fabric in a Unified Platform for Modern AnalyticsDenodo
Watch full webinar here: https://bit.ly/3FHKalT
Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification?
In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is explored. One of the approaches for unification outlined in the report is a data fabric approach.
Join us for a webinar with our Director of Product Marketing, Robin Tandon, where he will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report. He will share insights and use case examples that demonstrate how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations.
Watch on-demand & Learn:
- The benefits of a unified platform and its ability to capture diverse & emerging data types and how to support high performance and scalable solutions.
- The role of an enhanced AI driven data catalog and its implications towards the findings in the best practice report.
- Implications of a logical data fabric as it relates to several of the recommendations outlined in the report.
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Enabling a Culture of Self-Service AnalyticsPrecisely
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
Why Data Virtualization Matters in Your PortfolioDenodo
Watch full webinar here: [https://buff.ly/2W925vO]
Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. In this webinar, Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, will address:
Data virtualization market growth trends and momentum
Key solutions and use cases
How leaders like Denodo are differentiating from other vendors in the market
Learn about the organizational and architectural strategies needed to make self-service analytics successful. Self-service is more about process and training instead of only focusing on tools.
Download this research to read about self-service architecture in detail:https://www.eckerson.com/articles/a-reference-architecture-for-self-service-analytics
If you need help with self-service analytics, data architecture or data management, contact us on the following link: https://www.eckerson.com/consulting
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...Denodo
Voir: https://bit.ly/2Oycfnn
À l’ère du numérique, la digitalisation et modernisation des services financiers sont plus que jamais requises compte tenu de leur rôle clé dans les processus de prise de décisions et le pilotage de la performance. Les directions financières nécessitent ainsi de fournir des informations fiables et vérifiées, tout en répondant aux exigences de gouvernance et de sécurité. À cela s’ajoute, l’étendue de leurs fonctions qui comprend désormais l’analyse prédictive des données. Cependant, ce pôle stratégique est souvent confronté à des défis tels que le difficile accès à la donnée ou la faible automatisation des tâches.
La Data Virtualization ou virtualisation des données permet d’accroître la valeur ajoutée de la fonction finance et il s’agit d’un levier qui permet de consacrer le plus du temps à l'analyse prédictive au détriment de la collecte et la consolidation depuis les différentes sources de données. Visionnez ce webinar pour découvrir comment la Data Virtualization permet de :
- Donner plus d'autonomie à la finance vis-à-vis de l'informatique, tant sur la modification des paramétrages, que sur la modélisation des règles de gestion, sur les éditions …
- Éviter la saisie multiple d'informations, de nombreux retraitements manuels, et procéder à différentes simulations.
- Effectuer des analyses multidimensionnelles
- Passer plus de temps sur les tâches à valeur ajoutée
- Utiliser, dans un seul outil, les données en provenance de plusieurs sources
- Se concentrer sur l’analyse plutôt que sur la consolidation des données
- Garantir la rigueur du reporting institutionnel
… et bien plus encore ! La séance comprend une démo live de cette technologie appliquée à l’analyse prédictive.
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
The Role of the Logical Data Fabric in a Unified Platform for Modern AnalyticsDenodo
Watch full webinar here: https://bit.ly/3FHKalT
Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification?
In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is explored. One of the approaches for unification outlined in the report is a data fabric approach.
Join us for a webinar with our Director of Product Marketing, Robin Tandon, where he will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report. He will share insights and use case examples that demonstrate how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations.
Watch on-demand & Learn:
- The benefits of a unified platform and its ability to capture diverse & emerging data types and how to support high performance and scalable solutions.
- The role of an enhanced AI driven data catalog and its implications towards the findings in the best practice report.
- Implications of a logical data fabric as it relates to several of the recommendations outlined in the report.
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Talend Summer 16 launch présentation: Open Data Preparation for Everyone Jean-Michel Franco
Everyone needs data to make smarter decisions. But data unleashed and ungoverned puts the whole enterprise at risk. With the latest Talend platform, you can empower anyone in your organization to put data to work, without risk.
Watch this on-presentation to learn about our latest innovations:
Self-service data access
IT-governed data usage with role-based security
Fully integrated with Talend Data Fabric
Plus, see what’s new from Talend to boost big data and cloud productivity and expand scalability.
Denodo DataFest 2016: Metadata and Data: Search and ExplorationDenodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/ptQMW7
What matters the most for analysts and decision makers is finding the right data within seconds. Data virtualization incorporates a rich metadata catalog and graphical interface for the self-service users
In this session, you will learn:
• How to discover, search, explore, curate and share trusted data assets in a governed manner
• How to view and utilize the complete lineage of data assets
• Ways to infer patterns in data and metadata
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
The promise of self-service analytics asserts that business users should be empowered make data-driven decisions quickly without having to involve the analytics team, while critics say that it could lead to faulty choices. In this presentation we’ll cover topics such as acknowledging diverse customer needs, choosing the right tools, understanding the pitfalls, and considering the future of self-service analytics. And cake.
Introduction to Segment, Analytics API and Customer Data Platform. (Demo: Segment, AWS Redshift, Redash, Segment and GTM Alternatives) (Frontend Fighters Edition)
Recommended links:
https://segment.com/ - Analytics API and Customer Data Platform
https://open.segment.com/ - Open Source Projects of Segment
https://segment.com/docs/ - Documentation of Segment
https://redash.io/ - Open Sorce Data Dashboard
https://aws.amazon.com/redshift/ - Data Warehouse Solution
https://quicksight.aws/ - Business Analytics Service
https://www.ghostery.com/ - Tracker Detector
Keywords: business agility, tag managers, data-driven
Reinvent Your Data Management Strategy for Successful Digital TransformationDenodo
Watch Dinesh's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/3Pa8np
Leaders are re-inventing their data management strategies through the effective use of IoT, Big Data, and data science to boost their customer experience. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.
Attend this session to hear from the Big Data pioneer, Hortonworks:
• Why big data and data virtualization should be core technology components of your digital transformation.
• How to manage, govern, and secure your global data footprint across a hybrid multi-cloud landscape.
• Learn about key global data management strategies and use cases that drive leading digital enterprises.
Regulation and Compliance in the Data Driven EnterpriseDenodo
Watch full webinar here: [https://buff.ly/2R9qSfq]
Data proliferation has become a major challenge for many customers as they deal with new regulations and more stringent compliance requirements. Hear how these challenges can be addressed with fine grained security, full data lineage and comprehensive auditability.
In this Denodo DataFest session we will cover how to:
Assure compliance with optimized data management
Data classification with security policy enforcement
Increase flexibility with extended protection capabilities
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
Users and customers don't just want products and services anymore - they also want the data and analytics that are under the hood! The good news is that delivering value with data is more achievable than ever before thanks to greater access to diverse data sources and the ability to process, blend, and refine data at unprecedented scale.
Digital Transformation: How to Build an Analytics-Driven CultureAlexander Loth
http://alexloth.com/2017/12/11/diversify-long-term-crypto-portfolio/
<- Follow-up blog post "How to diversify a Long-term Crypto Portfolio"!
Executive Talk, Frankfurt School of Finance & Management, 8 December 2017
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
Big Data LDN 2018: THE NEXT WAVE: DATA, AI AND ANALYTICS IN 2019 AND BEYONDMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:10 - 13:40
Speaker: Matt Aslett
Organisation: 451 Research
About: As 2018 draws to a close, Matt Aslett, Research VP, 451 Research looks ahead to 2019 and the key trends the research company’s Data, AI and Analytics team is anticipating for the year ahead, including the continued rise of DataOps; the increased importance of data science operationalisation; mainstream adoption of AI and machine learning; data platforms evolution; and the confluence of distributed database and blockchain technology in supporting the move towards planetary-scale data processing and analytics.
Understanding Big Data: Strategies to Re-envision Decision-Making
Amy Mayer, Vice President, Capgemini
Oracle Analytics Leader, North America
Presented at Oracle OpenWorld 2012
Leap to Next Generation Data Management with Denodo 7.0Denodo
Watch Mike's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/cC3bCq
Mike Ferguson is an independent analyst and the Managing Director for Intelligent Business Strategies. In this session, he will be discussing how Denodo Platform 7.0 enables and redefines data management for the next generation.
Attend this session to discover:
• Perspectives from independent industry analyst Mike Ferguson
• Why data virtualization is gaining momentum
• How Denodo Platform 7.0 enables next generation data management
Talend Summer 16 launch présentation: Open Data Preparation for Everyone Jean-Michel Franco
Everyone needs data to make smarter decisions. But data unleashed and ungoverned puts the whole enterprise at risk. With the latest Talend platform, you can empower anyone in your organization to put data to work, without risk.
Watch this on-presentation to learn about our latest innovations:
Self-service data access
IT-governed data usage with role-based security
Fully integrated with Talend Data Fabric
Plus, see what’s new from Talend to boost big data and cloud productivity and expand scalability.
Denodo DataFest 2016: Metadata and Data: Search and ExplorationDenodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/ptQMW7
What matters the most for analysts and decision makers is finding the right data within seconds. Data virtualization incorporates a rich metadata catalog and graphical interface for the self-service users
In this session, you will learn:
• How to discover, search, explore, curate and share trusted data assets in a governed manner
• How to view and utilize the complete lineage of data assets
• Ways to infer patterns in data and metadata
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
The promise of self-service analytics asserts that business users should be empowered make data-driven decisions quickly without having to involve the analytics team, while critics say that it could lead to faulty choices. In this presentation we’ll cover topics such as acknowledging diverse customer needs, choosing the right tools, understanding the pitfalls, and considering the future of self-service analytics. And cake.
Introduction to Segment, Analytics API and Customer Data Platform. (Demo: Segment, AWS Redshift, Redash, Segment and GTM Alternatives) (Frontend Fighters Edition)
Recommended links:
https://segment.com/ - Analytics API and Customer Data Platform
https://open.segment.com/ - Open Source Projects of Segment
https://segment.com/docs/ - Documentation of Segment
https://redash.io/ - Open Sorce Data Dashboard
https://aws.amazon.com/redshift/ - Data Warehouse Solution
https://quicksight.aws/ - Business Analytics Service
https://www.ghostery.com/ - Tracker Detector
Keywords: business agility, tag managers, data-driven
Reinvent Your Data Management Strategy for Successful Digital TransformationDenodo
Watch Dinesh's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/3Pa8np
Leaders are re-inventing their data management strategies through the effective use of IoT, Big Data, and data science to boost their customer experience. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.
Attend this session to hear from the Big Data pioneer, Hortonworks:
• Why big data and data virtualization should be core technology components of your digital transformation.
• How to manage, govern, and secure your global data footprint across a hybrid multi-cloud landscape.
• Learn about key global data management strategies and use cases that drive leading digital enterprises.
Regulation and Compliance in the Data Driven EnterpriseDenodo
Watch full webinar here: [https://buff.ly/2R9qSfq]
Data proliferation has become a major challenge for many customers as they deal with new regulations and more stringent compliance requirements. Hear how these challenges can be addressed with fine grained security, full data lineage and comprehensive auditability.
In this Denodo DataFest session we will cover how to:
Assure compliance with optimized data management
Data classification with security policy enforcement
Increase flexibility with extended protection capabilities
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
Users and customers don't just want products and services anymore - they also want the data and analytics that are under the hood! The good news is that delivering value with data is more achievable than ever before thanks to greater access to diverse data sources and the ability to process, blend, and refine data at unprecedented scale.
Digital Transformation: How to Build an Analytics-Driven CultureAlexander Loth
http://alexloth.com/2017/12/11/diversify-long-term-crypto-portfolio/
<- Follow-up blog post "How to diversify a Long-term Crypto Portfolio"!
Executive Talk, Frankfurt School of Finance & Management, 8 December 2017
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
Big Data LDN 2018: THE NEXT WAVE: DATA, AI AND ANALYTICS IN 2019 AND BEYONDMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:10 - 13:40
Speaker: Matt Aslett
Organisation: 451 Research
About: As 2018 draws to a close, Matt Aslett, Research VP, 451 Research looks ahead to 2019 and the key trends the research company’s Data, AI and Analytics team is anticipating for the year ahead, including the continued rise of DataOps; the increased importance of data science operationalisation; mainstream adoption of AI and machine learning; data platforms evolution; and the confluence of distributed database and blockchain technology in supporting the move towards planetary-scale data processing and analytics.
Understanding Big Data: Strategies to Re-envision Decision-Making
Amy Mayer, Vice President, Capgemini
Oracle Analytics Leader, North America
Presented at Oracle OpenWorld 2012
Leap to Next Generation Data Management with Denodo 7.0Denodo
Watch Mike's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/cC3bCq
Mike Ferguson is an independent analyst and the Managing Director for Intelligent Business Strategies. In this session, he will be discussing how Denodo Platform 7.0 enables and redefines data management for the next generation.
Attend this session to discover:
• Perspectives from independent industry analyst Mike Ferguson
• Why data virtualization is gaining momentum
• How Denodo Platform 7.0 enables next generation data management
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
These slides—based on the on-demand webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Confluent –examines how business and technology leaders are adopting streaming strategies and how the world of streaming data implementations have changed for the better.
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingDenodo
Watch full webinar here: https://bit.ly/37YkgN4
This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.
These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.
During the session we'll address:
- What is a data-driven enterprise?
- What are the critical success factors?
- What are companies doing to create a data-driven enterprise and why?
- What progress are they making?
- What are the plans on people, process and technologies?
- Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
- How should you get started?
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITDenodo
Watch here: https://bit.ly/3iGMsH6
Today’s CIOs carry a paradoxical responsibility of balancing the yin and yang of the Business – IT interface. That is, "Backroom IT’s quest for Stability" with the “Frontline Business’ need for Agility".
A paradox that is no longer optional, but is essential. A paradox that defines the business competitiveness, business survival, and business sustainability. Also enables the visibility to the fuzzy future.
“Trusted Data Foundation with Data Virtualization” provides a powerful ammunition in the hands of the CIO, to effectively balance these Yin and Yang at the speed of the business. In a trusted, compliant, auditable, flexible and regulated fashion.
Find out more on how you can enhance the competitive edge for your business in the CIO special webinar from COMPEGENCE and DENODO.
Entry Points – How to Get Rolling with Big Data AnalyticsInside Analysis
The Briefing Room with Robin Bloor and IBM
Live Webcast Sept. 24, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7501927&rKey=664935ceb7de1aec
Where to begin? That question remains prominent for many organizations who are trying to leverage the value of big data analytics. Most sources of big data are quite different than traditional enterprise data systems. This requires new skill sets, both for the granular integration work, as well as the strategic business perspective required to design useful solutions.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the pain points associated with modern data volumes and types. He will be briefed by Rick Clements of IBM, who will tout IBM's big data platform, specifically InfoSphere BigInsights, InfoSphere Streams and InfoSphere Data Explorer. He will also present specific use cases that demonstrate how IT and the line of business can springboard over existing challenges, gain insight and improve operational performance.
Visit InsideAnalysis.com for more information
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
Learn how you can generate revenue, reduce risk and save costs by monetizing your organisations data. Apply advanced machine learning and AI techniques to get insights and generate actions out of your data. Build the robust IT systems to get started with the data and AI.
With a plethora of inventory and discovery tools, IT organizations often sink beneath an unreconciled data universe.
These slides, based on the webinar from leading IT analyst firm Enterprise Management Associates (EMA), draw from extensive EMA research and consulting experience to explain how IT organizations can improve their effectiveness in ‘discovering the truth’ about their environments.
Tableau reseller partner in Djibouti Bilytica Best business Intelligence Comp...Carie John
Email: info@bilytica.com
Bilytica provides best in class services in Business Intelligence, Data-warehousing, Data Governance, Big Data management, Enterprise Applications, Enterprise Performance Management, Mobile Applications & Gaming and Business Consulting Services. Being a Tableau preferred reseller and consulting partner for Middle East, Europe, Turkey, Asia & Russia. Bilytica has helped 500+ small to large enterprises in Tableau implementation and training. We provide End to end Tableau consulting and training services including Tableau Proof of Concepts, Tableau Software license sales ,Tableau dashboard design Services , Onsite and remote Tableau consulting ,Customized onsite Tableau training , Tableau Server hosting ,Tableau integration services, Tableau advanced analytic & Tableau managed services.
Tableau reseller partner in Fiji Bilytica Best business Intelligence Company ...Carie John
Email: info@bilytica.com
Bilytica provides best in class services in Business Intelligence, Data-warehousing, Data Governance, Big Data management, Enterprise Applications, Enterprise Performance Management, Mobile Applications & Gaming and Business Consulting Services. Being a Tableau preferred reseller and consulting partner for Middle East, Europe, Turkey, Asia & Russia. Bilytica has helped 500+ small to large enterprises in Tableau implementation and training. We provide End to end Tableau consulting and training services including Tableau Proof of Concepts, Tableau Software license sales ,Tableau dashboard design Services , Onsite and remote Tableau consulting ,Customized onsite Tableau training , Tableau Server hosting ,Tableau integration services, Tableau advanced analytic & Tableau managed services.
Tableau reseller partner in Brunei Bilytica Best business Intelligence Compan...Carie John
Email: info@bilytica.com
Bilytica provides best in class services in Business Intelligence, Data-warehousing, Data Governance, Big Data management, Enterprise Applications, Enterprise Performance Management, Mobile Applications & Gaming and Business Consulting Services. Being a Tableau preferred reseller and consulting partner for Middle East, Europe, Turkey, Asia & Russia. Bilytica has helped 500+ small to large enterprises in Tableau implementation and training. We provide End to end Tableau consulting and training services including Tableau Proof of Concepts, Tableau Software license sales ,Tableau dashboard design Services , Onsite and remote Tableau consulting ,Customized onsite Tableau training , Tableau Server hosting ,Tableau integration services, Tableau advanced analytic & Tableau managed services.
Tableau reseller partner in Cambodia Bilytica Best business Intelligence Comp...Carie John
Email: info@bilytica.com
Bilytica provides best in class services in Business Intelligence, Data-warehousing, Data Governance, Big Data management, Enterprise Applications, Enterprise Performance Management, Mobile Applications & Gaming and Business Consulting Services. Being a Tableau preferred reseller and consulting partner for Middle East, Europe, Turkey, Asia & Russia. Bilytica has helped 500+ small to large enterprises in Tableau implementation and training. We provide End to end Tableau consulting and training services including Tableau Proof of Concepts, Tableau Software license sales ,Tableau dashboard design Services , Onsite and remote Tableau consulting ,Customized onsite Tableau training , Tableau Server hosting ,Tableau integration services, Tableau advanced analytic & Tableau managed services.
Tableau reseller partner in Congo Bilytica Best business Intelligence Company...Carie John
Email: info@bilytica.com
Bilytica provides best in class services in Business Intelligence, Data-warehousing, Data Governance, Big Data management, Enterprise Applications, Enterprise Performance Management, Mobile Applications & Gaming and Business Consulting Services. Being a Tableau preferred reseller and consulting partner for Middle East, Europe, Turkey, Asia & Russia. Bilytica has helped 500+ small to large enterprises in Tableau implementation and training. We provide End to end Tableau consulting and training services including Tableau Proof of Concepts, Tableau Software license sales ,Tableau dashboard design Services , Onsite and remote Tableau consulting ,Customized onsite Tableau training , Tableau Server hosting ,Tableau integration services, Tableau advanced analytic & Tableau managed services.
Similar to Réinventez le Data Management avec la Data Virtualization de Denodo (20)
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
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
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Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
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Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Réinventez le Data Management avec la Data Virtualization de Denodo
1. Data Virtualization
‘Enterprise Data Delivery Platform’
Stop collecting start connecting
Yahya Jarraya, New Generation Data Management advocate
2018
2. Agenda1. Dilemma & positioning
2. Data virtualisation main functions
3. Quick Demonstration (video)
4. Patterns & Intel use-case
5. Denodo – leader & pioneer
6. Take away & what to do next
3. 3
Denodo provides agile, high performance data access & abstraction
across the broadest range of enterprise, cloud, big data & unstructured
data sources, and real-time data services at half the cost & twice faster
than traditional approaches
Denodo
The Leader in Data Virtualization
DENODO OFFICES, CUSTOMERS, PARTNERS
Palo Alto, CA.
Global presence throughout North America,
EMEA, APAC, and Latin America.
CUSTOMERS
~500 customers, including many F500,
G2000 & start-ups companies across every
major industry have gained significant business
agility and ROI.
FINANCIALS
Backed by $4B+ private equity firm (HGGC).
50+% annual growth; Profitable.
LEADERSHIP
§ Longest continuous focus on data
virtualization – since 1999
§ Leader in 2017 Forrester Wave –
Enterprise Data Virtualization
§ Winner of numerous awards
5. 5
IT & Business need…
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
Big Data
… an Enterprise
Data Delivery Platform
6. 6
IT data Dilemma
IT focuses on Data Collection,
Management & Security
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
Big Data
Figuring out how to manage data
(Best way, best technologies, based on
use case, etc.)
7. 7
Business data Dilemma
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Figuring out how to use it
(Analysis, Risks & Compliance,
Innovation, New services, etc.)
8. 8
IT & Business data Dilemma
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
How ?
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
Big Data
How ?
9. 9
IT & Business data Dilemma 1st approach: anarchy
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
10. 10
IT & Business data Dilemma 2nd approach: structuring & automation
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
11. 11
IT & Business data Dilemma But…
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
By2020
§500% growth in Data &
Device Avalanche
§ Due to lack of data accessibility
today < 0.5% of all data is ever
analyzed and use
By2020
§ Business Speeding Up (aka
digital, decision, transformation,
disruptors, etc.)
§ To remain competitive, by 2020,
Business Decision Speed &
Analysis Sophistication
Requires 300% Increase
Data Sources and Volumes Time to Consumption
12. 12
IT & Business data Dilemma But…
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
Can you
retrieve all
the data
No one data
container
solution for all
Can you
consume
all the
data
No unique way
for consuming
data
13. 13
IT & Business data Dilemma But…
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
So much replication
(security, data, license, storage,
hardware, €, etc.)
So much replication
(security, data, license, storage,
hardware, €, etc.)
So much replication
(security, data, license, storage,
hardware, €, etc.)
So much replication
(security, data, license, storage,
hardware, €, etc.)
75% data stored not used
90% request need current data2016
14. 14
IT & Business data Dilemma But…
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
Not Time-to-Market Oriented
Between request & consumption, the unit is couple of months, limited agility &
devOps readiness à limited value to business
15. 15
IT & Business data Dilemma But…
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
Hybrid IT
- Cloud
- Internal Data centers
Hybrid Apps
- SaaS/PaaS/IaaS
- Internal Data centers
16. 16
IT & Business data Dilemma But…
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
Innovation & digital initiatives (MVPs)
(APIs 1st, independent data, fast & agile products)
17. 17
IT & Business data Dilemma But…
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Big Data
Data Governance
Who can access what, where, filtering, hiding, encrypting, compliances, lineage, origin, transformation, auditability (IT & Biz)
18. 18
IT & Business need…
IT focuses on Data Collection,
Management & Security
Analytics &
Reporting
Enterprise Apps
Customer
Support
Digital
Transformation
M & A
Revenue
Collection
Decision
making
Risks &
Compliance
Biz focuses on data Consumption,
Analysis & strategic decisions
Product Data
Billing System
Cloud/SaaS
System UsageInventory System
CRM
Product Catalog
Customer Voice
PLM
Big Data … an Enterprise
Data Delivery Platform
That enables
- IT & Business to move at different
speeds so…
- IT can store data in the most efficient
way w/o affecting the business and…
- Business can use the best tools to
make decisions without affecting IT
with best Time-to-Market…
…& Cost effective.
20. 20
Essential Capabilities of Data Virtualization
1. Data abstraction
2. Zero replication, zero relocation
3. Real-time information
4. Self-Service & active Data Catalog
5. Centralized metadata, security & governance
6. Multi-location accelerator
23. 29
Denodo ‘Horizontal Solution’ Categories
Data Services
✓ Data as a Service
✓ Digital Apps consumption
✓ Application Migration
✓ Governance & compliance
Cloud Solutions
✓ Cloud BI Analytics
✓ Cloud Apps
✓ Cloud Modernization
✓ Hybrid Data Fabric
Agile BI
✓ Real-Time Dashboards
✓ Self-Service BI & Analytics
✓ Operational Reporting
✓ Virtual Data Marts
Logical DataWH/Data Lake
✓ Logical Data Warehouse
✓ Logical Data Lake
✓ DWH Offloading
✓ Big Data & Predictive
Enterprise Data Virtualization platform
26. 32
Denodo provides agile, high performance data access & abstraction
across the broadest range of enterprise, cloud, big data & unstructured
data sources, and real-time data services at half the cost & twice faster
than traditional approaches
Denodo
The Leader in Data Virtualization
DENODO OFFICES, CUSTOMERS, PARTNERS
Palo Alto, CA.
Global presence throughout North America,
EMEA, APAC, and Latin America.
CUSTOMERS
~500 customers, including many F500,
G2000 & start-ups companies across every
major industry have gained significant business
agility and ROI.
FINANCIALS
Backed by $4B+ private equity firm (HGGC).
50+% annual growth; Profitable.
LEADERSHIP
§ Longest continuous focus on data
virtualization – since 1999
§ Leader in 2017 Forrester Wave –
Enterprise Data Virtualization
§ Winner of numerous awards
28. 34
Denodo Product AwardsCustomer Awards
2016 Technology Innovation Finalist
for Information Management
2017 Rank Companies
that Matters Most in Data
2016 Big Data 50 – Companies
Driving Innovation
Trend-Setting Products in Data and
Information Management for 2016
AUTODESK
FINALIST in 2017 Excellence
Awards (Data Mgmt.)
SEACOAST BANK
2016 Business Leadership
Award (Biz. Intel.)
CIT BANK
2016 Premier 100
Technology Leader
ULTRA MOBILE
2017 Best Practices Award
(Emerging Tech.)
AUTODESK
2017 CIO 100
Award
2017 #1 Readers Choice Awards For
Data Virtualization Platforms
ASURION
2017 Best Practices Award
(EDW)
BIOSTORAGE
2016 Business Leadership
Award (Oper. Intel.)
Denodo: leader in Enterprise Data Virtualization
29. 35
Forrester Wave: Enterprise Data Virtualization
Denodo: leader in Enterprise Data Virtualization
2016 Technology Innovation Finalist
for Information Management
2017 Rank Companies
that Matters Most in Data
2016 Big Data 50 – Companies
Driving Innovation
Trend-Setting Products in Data and
Information Management for 2016
2017 #1 Readers Choice Awards For
Data Virtualization Platforms
30. 36
Forrester Wave: Enterprise Data Virtualization
Denodo: leader in Enterprise Data Virtualization
Customers appreciate Denodo’s easy-to-use,
tight integration with non-structured data, simple
yet sophisticated data modeling capabilities,
search, data life-cycle management, and support
for comprehensive lists of data sources including
big data, IoT, and cloud sources. In addition,
customers often mention lower cost and faster
time-to-value are top reasons for selecting
Denodo.”
– Analyst Noel Yuhanna, Forrester Research
33. 39
Take away
PerformanceEase of use Flexibility Enterprise Governed
Fastest Time-to-market & Cost Effective
Pioneer & Leader in DV (Analyst & customers feedback)
34. 40
Next steps
Where to find more information & where to start
• Yahya Jarraya: yjarraya@denodo.com
• Présentation (cette présentation vous sera envoyée)
• Démonstration
• Workshop & POC
• Instruction de dossier
• Vidéo 3’ générale sur la DV (fr): https://www.denodo.com/fr
• Documents, analyses, études (fr): https://www.denodo.com/fr/references
• Denodo Platform: demonstration complète, whitepaper, datasheet, technical approach:
https://www.denodo.com/en/denodo-platform/denodo-platform-70
• Télécharger et évaluer Denodo Express: https://www.denodo.com/fr/denodo-
platform/denodo-express