Oracle 11g and 12c are database management systems. Oracle 11g allows for grid computing across clustered servers and has a browser-based interface. It supports creating and manipulating database objects. Oracle 12c has new features like cloud support and a pluggable database architecture. It is designed for the cloud and supports in-memory processing and native JSON. Grid computing links computing resources over a network to complete tasks more quickly. Cloud computing delivers computing resources over the internet in a pay-as-you-go model.
The document discusses the impact of cloud computing on e-learning. It explains that cloud computing provides on-demand access to computing resources and services over the Internet. This allows e-learning platforms to be easily accessible, collaborative, inexpensive to store resources, and scalable. Some key benefits of using cloud computing for e-learning include lower upfront costs, built-in monitoring and analytics, and the ability to access learning materials from anywhere using an Internet connection. Due to these advantages, more educational organizations are moving their e-learning workloads to the cloud.
Traditional Data center and its virtualizationAmit Lanjewar
The traditional data center architecture relies heavily on physical servers and hardware, which results in high operating costs of $10-25 million annually on average for large data centers. Key drivers of cloud adoption include cost reductions, better collaboration capabilities, enabling employee mobility, increasing business agility, simplifying data security, and on-premise hosting of sensitive data. The financial services sector is currently the biggest consumer of cloud computing due to the security and flexibility it provides to navigate challenges.
This document defines key cloud computing and cloud storage terms and concepts. It distinguishes between cloud storage, which saves and shares data, and cloud computing, which allows remote work on data. Key differences are that cloud computing requires more processing power while cloud storage needs more storage space. The document also outlines public, private, and hybrid cloud models and major cloud vendors. It introduces cloud mapping as a service that maintains updated resource locations.
Bridging to a hybrid cloud data services architectureIBM Analytics
Enterprises are increasingly evolving their data infrastructures into entire cloud-facing environments. Interfacing private and public cloud data assets is a hallmark of initiatives such as logical data warehouses, data lakes and online transactional data hubs. These projects may involve deploying two or more of the following cloud-based data platforms into a hybrid architecture: Apache Hadoop, data warehouses, graph databases, NoSQL databases, multiworkload SQL databases, open source databases, data refineries and predictive analytics.
Data application developers, data scientists and analytics professionals are driving their organizations’ efforts to bridge their data to the cloud. Several questions are of keen interest to those who are driving an organization’s evolution of its data and analytics initiatives into more holistic cloud-facing environments:
• What is a hybrid cloud data services architecture?
• What are the chief applications and benefits of a hybrid cloud data services architecture?
• What are the best practices for bridging a logical data warehouse to the cloud?
• What are the best practices for bridging advanced analytics and data lakes to the cloud?
• What are the best practices for bridging an enterprise database hub to the cloud?
• What are the first steps to take for bridging private data assets to the cloud?
• How can you measure ROI from bridging private data to public cloud data services?
• Which case studies illustrate the value of bridging private data to the cloud?
Sign up now for a free 3-month trial of IBM Analytics for Apache Spark and IBM Cloudant, IBM dashDB or IBM DB2 on Cloud.
http://ibm.co/ibm-cloudant-trial
http://ibm.co/ibm-dashdb-trial
http://ibm.co/ibm-db2-trial
http://ibm.co/ibm-spark-trial
This document discusses cloud computing, including its definition, how it works, and different types. Cloud computing delivers hosted services over the internet and enables access to data and applications from remote servers. The main types of cloud computing are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS provides virtual servers and storage, PaaS hosts development tools, and SaaS delivers software applications via the internet. The document also covers characteristics, advantages, and disadvantages of cloud computing.
Oracle 11g and 12c are database management systems. Oracle 11g allows for grid computing across clustered servers and has a browser-based interface. It supports creating and manipulating database objects. Oracle 12c has new features like cloud support and a pluggable database architecture. It is designed for the cloud and supports in-memory processing and native JSON. Grid computing links computing resources over a network to complete tasks more quickly. Cloud computing delivers computing resources over the internet in a pay-as-you-go model.
The document discusses the impact of cloud computing on e-learning. It explains that cloud computing provides on-demand access to computing resources and services over the Internet. This allows e-learning platforms to be easily accessible, collaborative, inexpensive to store resources, and scalable. Some key benefits of using cloud computing for e-learning include lower upfront costs, built-in monitoring and analytics, and the ability to access learning materials from anywhere using an Internet connection. Due to these advantages, more educational organizations are moving their e-learning workloads to the cloud.
Traditional Data center and its virtualizationAmit Lanjewar
The traditional data center architecture relies heavily on physical servers and hardware, which results in high operating costs of $10-25 million annually on average for large data centers. Key drivers of cloud adoption include cost reductions, better collaboration capabilities, enabling employee mobility, increasing business agility, simplifying data security, and on-premise hosting of sensitive data. The financial services sector is currently the biggest consumer of cloud computing due to the security and flexibility it provides to navigate challenges.
This document defines key cloud computing and cloud storage terms and concepts. It distinguishes between cloud storage, which saves and shares data, and cloud computing, which allows remote work on data. Key differences are that cloud computing requires more processing power while cloud storage needs more storage space. The document also outlines public, private, and hybrid cloud models and major cloud vendors. It introduces cloud mapping as a service that maintains updated resource locations.
Bridging to a hybrid cloud data services architectureIBM Analytics
Enterprises are increasingly evolving their data infrastructures into entire cloud-facing environments. Interfacing private and public cloud data assets is a hallmark of initiatives such as logical data warehouses, data lakes and online transactional data hubs. These projects may involve deploying two or more of the following cloud-based data platforms into a hybrid architecture: Apache Hadoop, data warehouses, graph databases, NoSQL databases, multiworkload SQL databases, open source databases, data refineries and predictive analytics.
Data application developers, data scientists and analytics professionals are driving their organizations’ efforts to bridge their data to the cloud. Several questions are of keen interest to those who are driving an organization’s evolution of its data and analytics initiatives into more holistic cloud-facing environments:
• What is a hybrid cloud data services architecture?
• What are the chief applications and benefits of a hybrid cloud data services architecture?
• What are the best practices for bridging a logical data warehouse to the cloud?
• What are the best practices for bridging advanced analytics and data lakes to the cloud?
• What are the best practices for bridging an enterprise database hub to the cloud?
• What are the first steps to take for bridging private data assets to the cloud?
• How can you measure ROI from bridging private data to public cloud data services?
• Which case studies illustrate the value of bridging private data to the cloud?
Sign up now for a free 3-month trial of IBM Analytics for Apache Spark and IBM Cloudant, IBM dashDB or IBM DB2 on Cloud.
http://ibm.co/ibm-cloudant-trial
http://ibm.co/ibm-dashdb-trial
http://ibm.co/ibm-db2-trial
http://ibm.co/ibm-spark-trial
This document discusses cloud computing, including its definition, how it works, and different types. Cloud computing delivers hosted services over the internet and enables access to data and applications from remote servers. The main types of cloud computing are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS provides virtual servers and storage, PaaS hosts development tools, and SaaS delivers software applications via the internet. The document also covers characteristics, advantages, and disadvantages of cloud computing.
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Denodo
Watch full webinar here: https://bit.ly/3dudL6u
It's not if you move to the cloud, but when. Most organisations are well underway with migrating applications and data to the cloud. In fact, most organisations - whether they realise it or not - have a multi-cloud strategy. Single, hybrid, or multi-cloud…the potential benefits are huge - flexibility, agility, cost savings, scaling on-demand, etc. However, the challenges can be just as large and daunting. A poorly managed migration to the cloud can leave users frustrated at their inability to get to the data that they need and IT scrambling to cobble together a solution.
In this session, we will look at the challenges facing data management teams as they migrate to cloud and multi-cloud architectures. We will show how the Denodo Platform can:
- Reduce the risk and minimise the disruption of migrating to the cloud.
- Make it easier and quicker for users to find the data that they need - wherever it is located.
- Provide a uniform security layer that spans hybrid and multi-cloud environments.
This document discusses cloud computing, including definitions, advantages, and types of cloud services. Cloud computing provides scalable infrastructure over networks to host applications, data, and files. It reduces costs for computation, hosting, storage, and delivery. The cloud allows access to information from anywhere and removes the need to store data locally. Small businesses can use cloud storage instead of purchasing hardware. The cloud offers low barriers to entry, scalability, multi-tenancy, and device independence. Companies move to the cloud to reduce costs, optimize personnel usage, and gain scalability. The cloud delivers infrastructure, self-service management, and pay-per-use models. Both consumers and businesses widely use cloud services like email, social media, reservations
2020 Cloud Data Lake Platforms Buyers Guide - White paper | QuboleVasu S
Qubole's buyer guide about how cloud data lake platform helps organizations to achieve efficiency & agility by adopting an open data lake platform and why data lakes are moving to the cloud
https://www.qubole.com/resources/white-papers/2020-cloud-data-lake-platforms-buyers-guide
Cloud computing is a type of internet-based computing where services such as servers, storage, and applications are provided to organizations through the internet. It offers advantages like lower costs, unlimited storage, and universal access to documents from any device. However, it also has disadvantages like requiring a constant internet connection and potential security issues if data is not properly secured. There are different types of cloud models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
Govern and Protect Your End User InformationDenodo
Watch this Fast Data Strategy session with speakers Clinton Cohagan, Chief Enterprise Data Architect, Lawrence Livermore National Lab & Nageswar Cherukupalli, Vice President & Group Manager, Infosys here: https://buff.ly/2k8f8M5
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.
Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate compliance.
Attend this session to learn:
• How data virtualization provides a compliance foundation with data catalog, auditing, and data security.
• How you can enable single enterprise-wide data access layer with guardrails.
• Why data virtualization is a must-have capability for compliance use cases.
• How Denodo’s customers have facilitated compliance.
The document discusses cloud computing, providing definitions and describing key characteristics, architectures, service models, deployment models, trends, issues, economics, advantages, and disadvantages. Specifically, it defines cloud computing as using remote servers on the Internet rather than local servers. It outlines common service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The document also discusses security, reliability, and workforce issues associated with cloud computing and how they can potentially be addressed.
An Integrated Cloud Computing Architectural Stack Zara Tariq
Cloud computing is the classification of those computing which are built on personal devices to handle applications.
The cloud computing architectural stack aims at facilitating communication about different cloud technologies and services.
Accelerate Cloud Modernization using Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3jxGhIm
Many companies have been modernizing their data infrastructure from legacy on-premises to modern cloud systems. But such a transition has not been easy - many companies had to re-architect their IT landscape to fit the new technology model, disrupting business. Data virtualization provides a layer of abstraction for the IT to transform their systems, while enabling the business users to continue their operations without disruption. In this session, Paul Moxon, SVP Data Architecture and Chief Evangelist at Denodo, will discuss how some of Denodo’s largest customers have successfully modernized their IT infrastructure using data virtualization as the data abstraction layer.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing to manage physical infrastructure. There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS offers platforms for developing applications, and SaaS delivers software through web browsers. Cloud deployment models include public, private, hybrid, community, and multi-cloud options.
Move your on-premises data today with BuurstMH Riad
Move your on-premises data today with Buurst and learn how to remove obstacles that prevent your organization from unlocking robust capabilities that position you for future growth.
Visit us at www.buurst.com
This document provides an overview of cloud computing by defining it, describing its key characteristics and models (SaaS, PaaS, IaaS), discussing its advantages and disadvantages, challenges, and major providers for each cloud service model. Specifically:
- Cloud computing refers to storing and accessing data and programs over the Internet instead of a computer's hard drive. It provides on-demand access to shared computing resources that can be rapidly provisioned with minimal management effort.
- The major cloud service models are SaaS, PaaS, and IaaS. SaaS provides software applications, PaaS provides platforms for developing apps, and IaaS provides basic computing infrastructure like servers and storage.
This document provides an overview of cloud computing. It defines cloud computing as storing and accessing data and programs over the Internet instead of a computer's hard drive. The cloud delivers computing resources like storage, databases, and computing power over the Internet. There are different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Cloud computing provides advantages like reduced costs, scalability, and accessibility but also risks around security, privacy, and dependency on cloud providers.
E newsletter promise_&_challenges_of_cloud storage-2Anil Vasudeva
The document discusses the promise and challenges of cloud storage. The promise includes reduced costs, scalability, and accessibility. However, challenges include performance issues due to latency, security concerns about data in third-party control, and interoperability with existing systems and protocols. The document also outlines types of cloud storage solutions and how to optimize cloud storage using tiered data sets placed in different storage mediums and locations according to characteristics and needs.
The document discusses consolidating databases onto private clouds. Key benefits include reduced costs through increased efficiency and utilization, reduced complexity by standardizing configurations, improved quality of service through centralized management and monitoring, and improved agility allowing faster deployment and provisioning of resources. Private clouds are preferable to public clouds as they allow for control over quality of service levels and security of data within corporate networks and governance regulations. Oracle Database 11g can be successfully consolidated onto private clouds through different deployment models.
This document provides an overview of key concepts and services in Microsoft Azure. It discusses economies of scale, public cloud models, private and hybrid cloud models, and compares cloud service models. It also covers core Azure architectural components, services, solutions, and management tools. Key areas discussed include compute, networking, data services, big data and analytics, artificial intelligence, internet of things, and security. Monitoring and governance methodologies in Azure are also summarized.
Cloud storage is a model where digital data is stored in logical pools across multiple servers, often in multiple locations, managed by a hosting company. It allows data access from anywhere at any time. Data is maintained, backed up, and made available to users over a network like the Internet. Benefits include low costs, automatic data updates across devices, remote data recovery in disasters, and scalability. Types include public, private, hybrid, and community cloud storage. Considerations for choosing a provider include storage needs, budget, performance, support, data protection, and security.
This document provides an overview of cloud computing, including definitions, examples of cloud services, basic concepts around service and deployment models, and advantages and disadvantages. Specifically, it defines cloud computing as on-demand access to computer resources without direct management. It lists common cloud services like Google Drive, Dropbox, and AWS. It also describes the main service models of SaaS, PaaS, and IaaS and deployment models of public, private, and hybrid clouds. Finally, it outlines advantages like flexibility and cost savings as well as disadvantages like lack of control and potential bandwidth issues.
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.
What is cloud computing?
what is virtualization?
what is scaling?
Types of virtualization
Advantages of cloud computing
Types of Hypervisors
Cloud computing uses
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Denodo
Watch full webinar here: https://bit.ly/3dudL6u
It's not if you move to the cloud, but when. Most organisations are well underway with migrating applications and data to the cloud. In fact, most organisations - whether they realise it or not - have a multi-cloud strategy. Single, hybrid, or multi-cloud…the potential benefits are huge - flexibility, agility, cost savings, scaling on-demand, etc. However, the challenges can be just as large and daunting. A poorly managed migration to the cloud can leave users frustrated at their inability to get to the data that they need and IT scrambling to cobble together a solution.
In this session, we will look at the challenges facing data management teams as they migrate to cloud and multi-cloud architectures. We will show how the Denodo Platform can:
- Reduce the risk and minimise the disruption of migrating to the cloud.
- Make it easier and quicker for users to find the data that they need - wherever it is located.
- Provide a uniform security layer that spans hybrid and multi-cloud environments.
This document discusses cloud computing, including definitions, advantages, and types of cloud services. Cloud computing provides scalable infrastructure over networks to host applications, data, and files. It reduces costs for computation, hosting, storage, and delivery. The cloud allows access to information from anywhere and removes the need to store data locally. Small businesses can use cloud storage instead of purchasing hardware. The cloud offers low barriers to entry, scalability, multi-tenancy, and device independence. Companies move to the cloud to reduce costs, optimize personnel usage, and gain scalability. The cloud delivers infrastructure, self-service management, and pay-per-use models. Both consumers and businesses widely use cloud services like email, social media, reservations
2020 Cloud Data Lake Platforms Buyers Guide - White paper | QuboleVasu S
Qubole's buyer guide about how cloud data lake platform helps organizations to achieve efficiency & agility by adopting an open data lake platform and why data lakes are moving to the cloud
https://www.qubole.com/resources/white-papers/2020-cloud-data-lake-platforms-buyers-guide
Cloud computing is a type of internet-based computing where services such as servers, storage, and applications are provided to organizations through the internet. It offers advantages like lower costs, unlimited storage, and universal access to documents from any device. However, it also has disadvantages like requiring a constant internet connection and potential security issues if data is not properly secured. There are different types of cloud models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
Govern and Protect Your End User InformationDenodo
Watch this Fast Data Strategy session with speakers Clinton Cohagan, Chief Enterprise Data Architect, Lawrence Livermore National Lab & Nageswar Cherukupalli, Vice President & Group Manager, Infosys here: https://buff.ly/2k8f8M5
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.
Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate compliance.
Attend this session to learn:
• How data virtualization provides a compliance foundation with data catalog, auditing, and data security.
• How you can enable single enterprise-wide data access layer with guardrails.
• Why data virtualization is a must-have capability for compliance use cases.
• How Denodo’s customers have facilitated compliance.
The document discusses cloud computing, providing definitions and describing key characteristics, architectures, service models, deployment models, trends, issues, economics, advantages, and disadvantages. Specifically, it defines cloud computing as using remote servers on the Internet rather than local servers. It outlines common service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The document also discusses security, reliability, and workforce issues associated with cloud computing and how they can potentially be addressed.
An Integrated Cloud Computing Architectural Stack Zara Tariq
Cloud computing is the classification of those computing which are built on personal devices to handle applications.
The cloud computing architectural stack aims at facilitating communication about different cloud technologies and services.
Accelerate Cloud Modernization using Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3jxGhIm
Many companies have been modernizing their data infrastructure from legacy on-premises to modern cloud systems. But such a transition has not been easy - many companies had to re-architect their IT landscape to fit the new technology model, disrupting business. Data virtualization provides a layer of abstraction for the IT to transform their systems, while enabling the business users to continue their operations without disruption. In this session, Paul Moxon, SVP Data Architecture and Chief Evangelist at Denodo, will discuss how some of Denodo’s largest customers have successfully modernized their IT infrastructure using data virtualization as the data abstraction layer.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing to manage physical infrastructure. There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS offers platforms for developing applications, and SaaS delivers software through web browsers. Cloud deployment models include public, private, hybrid, community, and multi-cloud options.
Move your on-premises data today with BuurstMH Riad
Move your on-premises data today with Buurst and learn how to remove obstacles that prevent your organization from unlocking robust capabilities that position you for future growth.
Visit us at www.buurst.com
This document provides an overview of cloud computing by defining it, describing its key characteristics and models (SaaS, PaaS, IaaS), discussing its advantages and disadvantages, challenges, and major providers for each cloud service model. Specifically:
- Cloud computing refers to storing and accessing data and programs over the Internet instead of a computer's hard drive. It provides on-demand access to shared computing resources that can be rapidly provisioned with minimal management effort.
- The major cloud service models are SaaS, PaaS, and IaaS. SaaS provides software applications, PaaS provides platforms for developing apps, and IaaS provides basic computing infrastructure like servers and storage.
This document provides an overview of cloud computing. It defines cloud computing as storing and accessing data and programs over the Internet instead of a computer's hard drive. The cloud delivers computing resources like storage, databases, and computing power over the Internet. There are different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Cloud computing provides advantages like reduced costs, scalability, and accessibility but also risks around security, privacy, and dependency on cloud providers.
E newsletter promise_&_challenges_of_cloud storage-2Anil Vasudeva
The document discusses the promise and challenges of cloud storage. The promise includes reduced costs, scalability, and accessibility. However, challenges include performance issues due to latency, security concerns about data in third-party control, and interoperability with existing systems and protocols. The document also outlines types of cloud storage solutions and how to optimize cloud storage using tiered data sets placed in different storage mediums and locations according to characteristics and needs.
The document discusses consolidating databases onto private clouds. Key benefits include reduced costs through increased efficiency and utilization, reduced complexity by standardizing configurations, improved quality of service through centralized management and monitoring, and improved agility allowing faster deployment and provisioning of resources. Private clouds are preferable to public clouds as they allow for control over quality of service levels and security of data within corporate networks and governance regulations. Oracle Database 11g can be successfully consolidated onto private clouds through different deployment models.
This document provides an overview of key concepts and services in Microsoft Azure. It discusses economies of scale, public cloud models, private and hybrid cloud models, and compares cloud service models. It also covers core Azure architectural components, services, solutions, and management tools. Key areas discussed include compute, networking, data services, big data and analytics, artificial intelligence, internet of things, and security. Monitoring and governance methodologies in Azure are also summarized.
Cloud storage is a model where digital data is stored in logical pools across multiple servers, often in multiple locations, managed by a hosting company. It allows data access from anywhere at any time. Data is maintained, backed up, and made available to users over a network like the Internet. Benefits include low costs, automatic data updates across devices, remote data recovery in disasters, and scalability. Types include public, private, hybrid, and community cloud storage. Considerations for choosing a provider include storage needs, budget, performance, support, data protection, and security.
This document provides an overview of cloud computing, including definitions, examples of cloud services, basic concepts around service and deployment models, and advantages and disadvantages. Specifically, it defines cloud computing as on-demand access to computer resources without direct management. It lists common cloud services like Google Drive, Dropbox, and AWS. It also describes the main service models of SaaS, PaaS, and IaaS and deployment models of public, private, and hybrid clouds. Finally, it outlines advantages like flexibility and cost savings as well as disadvantages like lack of control and potential bandwidth issues.
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.
What is cloud computing?
what is virtualization?
what is scaling?
Types of virtualization
Advantages of cloud computing
Types of Hypervisors
Cloud computing uses
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
2. • A Cloud info could be a cloud information storage answer to store and access data
within the kind an outsized database. it's a service designed for additional
performance & flexibility supported cloud computing. while moving workloads to
the general public cloud, you wish to contemplate choices of secure file sharing.
And for an info, it must be Database-as-a-Service or (DBaaS).
• In the world of databases or let’s contemplate an electronic information service,
whereby information is kept in rows and columns, and gets programmed in SQL,
it's the aptitude of a cloud to be elastic and deliver quick figure capabilities.
3. • The cloud is gaining vital traction and recognition for enterprises and enterprise
house owners in terms of comfort and security. To run the info, users ought to
install associate application on a cloud platform to use or implement the info.
• The advantages of employing a relational information base electronic database on-
line database computer database electronic information service over a
transactional database would be its quality for data analytics. while deploying an
electronic information service, it largely gets down the price, will increase
measurability, and performance in terms of DBaaS.
4. • Cloud information storage has varied benefits over gift systems viz.
1. Mitigates the necessity of on-premise systems that need area, costs, workforce,
and more
2. Higher process power for applications and analytics
3. reach higher cost-savings with –
4. Reduced or no-in-house work force
5. Reduced Cloud information Storage valuation
6. Pay-as-you-go model
7. Advantage of hosting a NoSQL or SQL info within the cloud.
5. • Secure file sharing over the cloud has become an outstanding driver for info to
flow inside numerous people. it's necessary for enterprises to leverage this
technology for its vital edges in terms of its information security, file access.
measurability, and more.