The document discusses implementing cloud technology for business processes and choosing a cloud provider. It highlights the benefits of cloud computing like availability, scalability, and cost savings. It also covers important considerations for cloud adoption like data types used, integration needs, and strategies. When choosing a provider, the document emphasizes clarifying topics in the service level agreement like security, privacy, compliance, and performance definitions.
The hybrid cloud computing market is analyzed based on four segments: solutions, service model, verticals and regions. The solutions segment includes application architecture, network integration and management systems. Application architecture segment is expected to have a major role in the hybrid cloud computing market.
According to Infoholic research, the “Worldwide Hybrid Cloud Computing Market” is expected to grow at a CAGR of 34.3% during the forecast period 2016–2022.
Cloud Infrastructure-as-a-Service (IaaS) model is gaining traction among businesses.The advent of more powerful, streamlined and cost-effective cloud-enabled services is fueling this migration process by giving organizations another infrastructure management alternative.
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
Watch full webinar here: https://bit.ly/2XXyc3R
“Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch on-demand this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...Denodo
Watch full webinar here: https://bit.ly/3AdAzkW
Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
The hybrid cloud computing market is analyzed based on four segments: solutions, service model, verticals and regions. The solutions segment includes application architecture, network integration and management systems. Application architecture segment is expected to have a major role in the hybrid cloud computing market.
According to Infoholic research, the “Worldwide Hybrid Cloud Computing Market” is expected to grow at a CAGR of 34.3% during the forecast period 2016–2022.
Cloud Infrastructure-as-a-Service (IaaS) model is gaining traction among businesses.The advent of more powerful, streamlined and cost-effective cloud-enabled services is fueling this migration process by giving organizations another infrastructure management alternative.
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
Watch full webinar here: https://bit.ly/2XXyc3R
“Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch on-demand this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...Denodo
Watch full webinar here: https://bit.ly/3AdAzkW
Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
Denodo as the Core Pillar of your API StrategyDenodo
Watch full webinar here: https://buff.ly/2KTz2IB
Most people associate data virtualization with BI and analytics. However, one of the core ideas behind data virtualization is the decoupling of the consumption method from the data model. Why should the need for data requests in JSON over HTTP require extra development? Denodo provides immediate access to its datasets via REST, OData 4, GeoJSON and other protocols, with no coding involved. Easy to scale, cloud friendly and ready to integrate with API management tools, Denodo can be the perfect tool to fulfill your API strategy!
Attend this session to learn:
- What’s the role of Denodo in an API strategy
- Integration between Denodo and other elements of the API stack, like API management tools
- How easy it is to access Denodo as a RESTful endpoint
- Advanced options of Denodo web services: OAuth, OpenAPI, geographical capabilities, etc.
Watch full webinar here: https://bit.ly/39gFful
Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management.
Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo with Data Virtualization.
We will discuss how a business can easily support and manage a Data Service platform, providing a more flexible approach for information sharing supporting an ever diverse community of consumers.
Watch on-demand this webinar to learn:
- Why Data Services are a critical part of a modern data ecosystem
- How IT teams can manage Data Services and the increasing demand by businesses
- How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing business to experiment with data and fail fast where necessary.
- How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Denodo
Watch full webinar here: https://bit.ly/38uCCUB
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 joint live webinar session from Denodo and Wipro, 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
- Wipro’s role in helping enterprises define the business case, end-to-end services and operating model for the successful data virtualization implementations
Schedule a Discovery Session to learn more about Wipro and Denodo joint solutions for Banking, Financial Services, and Insurance.
Secure your data with Virtual Data Fabric (Middle East)Denodo
Watch full webinar here: https://bit.ly/3w2jCYK
Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas. Data virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources. As a single point of data access for applications, it is the ideal place to enforce access security restrictions that can be defined in terms of the canonical model with a very fine granularity.
Denodo has been successfully deployed in many organizations worldwide with strict security requirements. Those organizations benefit from Denodo's capabilities to customize security policies in the data abstraction layer, centralize security when data is spread across multiple systems residing both on-premises and in the cloud, or control and audit data access across different regions.
Watch on-demand this webinar to know how to:
- Build enterprise-wide data access role model
- Apply Dynamic Masking on your data on fly
- Use sophisticated masking algorithms to manage your non-production data sets
The cloud migration services market was valued at USD 119.13 billion in 2019 and is expected to reach USD 448.34 billion by 2025, at a CAGR of 28.89% over the forecast period 2020 - 2025.
Modernizing Data Architecture using Data Virtualization for Agile Data DeliveryDenodo
In this presentation, Dave Kay, Data Consultant within the Analytics and Architecture group at Zurich Insurance, explains how Zurich is modernizing their data infrastructure using data virtualization to accelerate delivery of mortgage insurance and intra-day operational reports to business analysts, salespeople, underwriters, managers, and actuarial staff.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/GLPPg2.
Cloud Migration headache? Ease the pain with Data Virtualization! (EMEA)Denodo
Watch full webinar here: https://bit.ly/3CWIBzd
Moving data to the Cloud is a priority for many organizations. Benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. This journey to the Cloud is not easy: moving application(s) and data to the Cloud can be challenging and entails disruption of business, when not carefully managed.
When systems are being migrated, the resultant hybrid (or even multi-) Cloud architecture is, by definition, more complex AND making it harder/more costly to retrieve the data we need.
Data Virtualization can help organizations at all stages of a Cloud journey - during migration as well as in our “new hybrid multi-Cloud reality”
Watch on-demand this webinar to learn how Data Virtualization can:
- Help organizations manage risk and minimize the disruption caused as systems are moved to the Cloud
- Provide a single point of access for data that is both on-premise and in the Cloud, making it easier for users to find and access the data that they need
- Provide a secure layer to protect and manage data when it's distributed across hybrid or multi-Cloud architectures
… watch a live demo about how to ease the migration.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
A Successful Data Strategy for Insurers in Volatile Times (EMEA)Denodo
Watch full webinar here: https://bit.ly/34gVVzH
To capitalize on all their data, insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures.
Join this webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch: https://bit.ly/2DYsUhD
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- How Prologis accelerated their use of Machine Learning with data virtualization
Big Data as a Service - A Market and Technology PerspectiveEMC
This white paper looks at what service providers can do to address the booming Big Data market and how solutions that leverage EMC technologies, such as Greenplum and Isilon, can be stepping stones on the path to providing Big Data in the cloud.
Denodo as the Core Pillar of your API StrategyDenodo
Watch full webinar here: https://buff.ly/2KTz2IB
Most people associate data virtualization with BI and analytics. However, one of the core ideas behind data virtualization is the decoupling of the consumption method from the data model. Why should the need for data requests in JSON over HTTP require extra development? Denodo provides immediate access to its datasets via REST, OData 4, GeoJSON and other protocols, with no coding involved. Easy to scale, cloud friendly and ready to integrate with API management tools, Denodo can be the perfect tool to fulfill your API strategy!
Attend this session to learn:
- What’s the role of Denodo in an API strategy
- Integration between Denodo and other elements of the API stack, like API management tools
- How easy it is to access Denodo as a RESTful endpoint
- Advanced options of Denodo web services: OAuth, OpenAPI, geographical capabilities, etc.
Watch full webinar here: https://bit.ly/39gFful
Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management.
Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo with Data Virtualization.
We will discuss how a business can easily support and manage a Data Service platform, providing a more flexible approach for information sharing supporting an ever diverse community of consumers.
Watch on-demand this webinar to learn:
- Why Data Services are a critical part of a modern data ecosystem
- How IT teams can manage Data Services and the increasing demand by businesses
- How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing business to experiment with data and fail fast where necessary.
- How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Denodo
Watch full webinar here: https://bit.ly/38uCCUB
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 joint live webinar session from Denodo and Wipro, 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
- Wipro’s role in helping enterprises define the business case, end-to-end services and operating model for the successful data virtualization implementations
Schedule a Discovery Session to learn more about Wipro and Denodo joint solutions for Banking, Financial Services, and Insurance.
Secure your data with Virtual Data Fabric (Middle East)Denodo
Watch full webinar here: https://bit.ly/3w2jCYK
Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas. Data virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources. As a single point of data access for applications, it is the ideal place to enforce access security restrictions that can be defined in terms of the canonical model with a very fine granularity.
Denodo has been successfully deployed in many organizations worldwide with strict security requirements. Those organizations benefit from Denodo's capabilities to customize security policies in the data abstraction layer, centralize security when data is spread across multiple systems residing both on-premises and in the cloud, or control and audit data access across different regions.
Watch on-demand this webinar to know how to:
- Build enterprise-wide data access role model
- Apply Dynamic Masking on your data on fly
- Use sophisticated masking algorithms to manage your non-production data sets
The cloud migration services market was valued at USD 119.13 billion in 2019 and is expected to reach USD 448.34 billion by 2025, at a CAGR of 28.89% over the forecast period 2020 - 2025.
Modernizing Data Architecture using Data Virtualization for Agile Data DeliveryDenodo
In this presentation, Dave Kay, Data Consultant within the Analytics and Architecture group at Zurich Insurance, explains how Zurich is modernizing their data infrastructure using data virtualization to accelerate delivery of mortgage insurance and intra-day operational reports to business analysts, salespeople, underwriters, managers, and actuarial staff.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/GLPPg2.
Cloud Migration headache? Ease the pain with Data Virtualization! (EMEA)Denodo
Watch full webinar here: https://bit.ly/3CWIBzd
Moving data to the Cloud is a priority for many organizations. Benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. This journey to the Cloud is not easy: moving application(s) and data to the Cloud can be challenging and entails disruption of business, when not carefully managed.
When systems are being migrated, the resultant hybrid (or even multi-) Cloud architecture is, by definition, more complex AND making it harder/more costly to retrieve the data we need.
Data Virtualization can help organizations at all stages of a Cloud journey - during migration as well as in our “new hybrid multi-Cloud reality”
Watch on-demand this webinar to learn how Data Virtualization can:
- Help organizations manage risk and minimize the disruption caused as systems are moved to the Cloud
- Provide a single point of access for data that is both on-premise and in the Cloud, making it easier for users to find and access the data that they need
- Provide a secure layer to protect and manage data when it's distributed across hybrid or multi-Cloud architectures
… watch a live demo about how to ease the migration.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
A Successful Data Strategy for Insurers in Volatile Times (EMEA)Denodo
Watch full webinar here: https://bit.ly/34gVVzH
To capitalize on all their data, insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures.
Join this webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch: https://bit.ly/2DYsUhD
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- How Prologis accelerated their use of Machine Learning with data virtualization
Big Data as a Service - A Market and Technology PerspectiveEMC
This white paper looks at what service providers can do to address the booming Big Data market and how solutions that leverage EMC technologies, such as Greenplum and Isilon, can be stepping stones on the path to providing Big Data in the cloud.
Founded in 2009, we currently have more than 55 high-tech & ICT companies associated, more than 50 events, seminars & technical workshops organized every year, more than 1.500 people linked on social media. Our mission is to develop a network between Companies, IT Professionals, Universities and R&D Centers.
Exposé Oral d'Ibtissam Zaidouni "Le travail des enfants dans le monde "Ahmedd Slaoui
C'est avec beaucoup de fierté et de respect que nous saluons l'effort et le travail sous forme de Production Orale ( exposé oral) accompli par l'apprenante Ibtissam Zaidouni. Bravo !
Get ahead of the cloud or get left behindMatt Mandich
An enterprise cloud computing strategy results in:
Broad consensus on goals and expected results of moving select processes to the cloud
Standardized, consistent approach to evaluating the benefits and challenges of cloud projects
Clear requirements for the negotiation and monitoring of partnerships with cloud service providers
Understanding and consensus on the enabling and managing role IT will play in future cloud initiatives
Goals and a roadmap for transforming internal IT from asset managers to service broker
Gain Deep Visibility into APIs and Integrations with Anypoint MonitoringInfluxData
On average, a business supporting digital transactions now crosses 35 backend systems—and legacy tools haven’t been able to keep up. This session will cover how MuleSoft uses InfluxCloud to help power their monitoring and diagnostic solutions as well as provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Cloud Adoption in Capital Markets: A PerspectiveCognizant
For the financial services industry, the adoption of cloud services has become a viable business directive. As firms work to recoup their losses from the recent financial crisis, pay-as-you-go cloud services allow them to focus more on strategic, innovative and revenue-generating endeavors and less on managing routine IT activities and the supporting infrastructure.
Webinar presentation March 3, 2016.
The CSCC deliverable, Practical Guide to Hybrid Cloud Computing, contains prescriptive guidance for the successful deployment of hybrid cloud computing. The whitepaper outlines the key considerations that customers must take into account as they adopt hybrid cloud computing and covers the strategic and tactical activities for decision makers implementing hybrid cloud solutions as well as technical considerations for deployment.
Download the deliverable: http://www.cloud-council.org/resource-hub
IRJET- An Overview on Cloud Computing and Challenges
Cloud cpmputing and busness processes
1. Business processes with urgent need to implement
and adopt cloud technology and to integrate them
into the existing core ERP.
Main topics to consider in choosing the right cloud
provider and the best SLA.
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2. Cloud Computing and Company’s Business Processes
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Main characteristics Cloud technology is promising/
offering to Business
• Availability – 99,999%; 24/7
• Reliability
• Performance
• Elasticity
• Scalability – be always able to use what you need (scale up and down)
without to think about resources and capital expenditure.
• ROI / TCO – pay for what you have used
• Better Security of data against third parties
• Outsourced Privacy of core processes, data, business development
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3. Cloud Computing and Company’s Business Processes
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Basic financial benefits:
• Cost savings from using cloud technology – When migrating ERP resources
or parts into a public/private cloud infrastructure, the number of servers running in-house
and the number of racks used will reduce significantly. Estimated up to 70% ROI for a Tier 3
workload and about 50% for Tier 1.
• Cost Savings from labor and application maintenance – Cloud technology
will reduce costs for application development and maintenance. Highly reduced need for
installed software as cloud-hosted software can be made available to any workstation with an
internet connection, which significantly lowers the required budget for software.
• Cost savings from external hosting – Hosting on-premises means acquiring own
hardware which is considered as a capital expenditure and is usually larger planned than the
current need. Availing of cloud hosting is considered as an operational expenditure because
due to pay-per-use models.
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4. Cloud Computing and Company’s Business Processes
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Main data types used and supported by processes:
Transaction data (block storage): - describes an event (the change is a result of a
transaction in the system). Transaction data always has: time dimension, a numerical value and an
object (or more objects) to refer to (blocks).
Big data (file storage): - is a collection of data sets (files), that is difficult to process using
database management tools or traditional data processing applications.
Gartner prediction on
storage need growth
5. Cloud Computing and Company’s Business Processes
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Porter’s Value Chain – creating value for the organization
by excellence in the processes and systems
From Wikipedia, the free encyclopedia
• Talent and performance
management;
• Managing HR
processes (esp.
recruitment,
e-learning).
• Global sourcing;
• Supplier risk management.
• E-business models;
• Mobility;
• Need for business agility.
• Global customer reach;
• Global product reach;
• Social media presence;
6. Cloud Computing and Company’s Business Processes
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Main strategies on the way to cloud adoption:
On-Premise: Your data and software applications are held in-house where
all servers, connections, access, and data are controlled and hosted
internally. You can still continue doing so and use cloud technology on your
premises.
On-Demand: Your data and applications are available via the web where
servers and data are hosted by the application vendor (SaaS). You have
outsourced infrastructure and application data management.
Hybrid Solution: Solution that combines best of both extreme options -
data and applications can be hosted by a third-party, but ownership is still
held internally. Sensitive data are controlled by your trusted staff, you can
even host some of it in-house using cloud technology/ storage.
7. Cloud Computing and Company’s Business Processes
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Questions to ask yourself before the final decision to
migrate to the Cloud is made:
1. Are my process data an important asset to my business? Do I
need better availability, reliability, performance etc.?
2. What is the total cost of the solution over next 3 to 5 years?
(licenses, extra functionality, current data center vs. external
hosting, configuration and process mapping, training and support)
3. Do I need data mobility in the field where my direct business
takes place?
4. How can I integrate the on-demand solution with my
processes running on-premise (existing back-office data)?
8. Cloud Provider and SLA (service level agreements)
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What is Service Level Agreement (SLA)
(based on Cloud Computing Use Cases Whitepaper by IBM)
- List of services the provider commits to deliver, i.e. complete definition
of each service;
- Metrics to evaluate whether the provider is delivering the service and
an auditing mechanism to monitor the service.
- Responsibilities of the provider and the customer, i.e. remedies to both
if the SLA conditions are not met.
- NB.: Most providers offer standard SLA. Negotiations might be
quite a difficult process.
9. Cloud Provider and SLA (service level agreements)
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Which are the critical topics to clarify before signing the SLA?
(based on Cloud Computing Use Cases Whitepaper by IBM)
Security: Provider and consumer must understand and agree on security requirements and what
kind of controls are necessary.
Data encryption: Data must be encrypted while in motion and while at rest. Specific algorithms
are not likely to be provided to the customer.
Privacy: Basic privacy concerns should be addressed by requirements such as data encryption,
retention, and deletion. Isolation of data must be also clear.
Regulatory compliance: If regulations must be enforced (i.e. due to a given data type), the
cloud provider must be able to prove his compliance.
Transparency: Providers must be informing customers in case of SLA breaches (infrastructure
issues like outages, performance problems, security incidents).
10. Cloud Provider and SLA (service level agreements)
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Which are the critical topics to clarify before signing the SLA?
Certification: The provider should be responsible for having required certifications and keeping it
up-to-date. (Especially data center certifications).
Performance definitions: Availability of all resources (i.e. servers on any continent etc.)
Monitoring: Proofs given by the provider or third party monitoring.
Auditability: The SLA should make clear how, when and by whom audits should be performed.
Human interaction: Specialized staff should be made available to the customer in case of a
need.
11. Cloud Provider and SLA (service level agreements)
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Best examples of global cloud solutions – HUMAN CAPITAL
Gartner 2013 magic
quadrant for Talent
management suits
12. Cloud Provider and SLA (service level agreements)
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Magic Quadrant 2012 for
CRM Contact centers
Best examples of global cloud solutions – CRM
13. Cloud Provider and SLA (service level agreements)
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Best examples of global cloud solutions – PROCUREMENT
• SAP Ariba, Inc;
• Oracle Procurement on demand;
• MAXCloud (Microsoft dynamics)
Other cloud SaaS for SCM and procurement:
• IBM;
• MercuryGate (cloud based TMS);
• LeanLogistics, (SaaS Transportation Technology and Services)
• JDA (global SCM);
• Amber Road (Global Trade Management Software);
• Logfire (Global Logistics Management)
• Deposco (SaaS SCM);
• e-BIZnet (SaaS – Cloud Supply Chain Software)
