cloud analytics

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Published By: IBM     Published Date: Nov 30, 2016
Learn how to create powerful analytic apps with IBM Cloudant, dashDB and Apache Spark. This presentation will contain demos of real-life use cases e.g. machine learning predictive analytics, Graph-parallel computation and more.
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ibm, cloud, analytic apps, apps, cloudant, enterprise applications, cloud computing
    
IBM
Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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AWS
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
Published By: Flexential     Published Date: Jul 17, 2019
The “edge” is emerging as a critical concept to reduce latency for network-based services in a world that has become increasingly centralized by public cloud services. Consumption habits of services and the need for analytics are shifting beyond core population centers and becoming local or even hyper-local within a region or city. As the online population continues to grow and new services emerge, the ability to handle data traffic securely and close to the customer or application will become a common pattern for the new service evolution.
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Flexential
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population. Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as they do not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population. Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Feb 11, 2019
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population. Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
Tags : 
lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms. Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure. Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability. Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms. Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure. Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability. Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: IBM     Published Date: Jan 02, 2014
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm, analytic answers, prioritized collections, collection agencies, debt collection, constrained budgets, constrained resources, the cloud, analytics technology, predictive and prescriptive, effective collection, up-to-date insights, trends and patterns, capital expenses, operational changes, data-driven, visual trends, potential opportunities, potential threats, business goals
    
IBM
Published By: IBM     Published Date: Jul 28, 2016
Watch this short video to see how the right commerce solution can help you understand your customers like never before, and deliver exactly what they want.
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ibm, commerce, cloud, cloud computing, commerce solutions, analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
Cloud-based data warehousing as-a-service, built for analytics
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ibm, dashdb, data, analytics, data warehouse, cloud, analytics, business insights, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: May 23, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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cloud strategy, database projects, disaster recover, geographic reach, large database, ibm, analytics, management optimization
    
IBM
Published By: IBM     Published Date: Nov 12, 2013
IBM SmartCloud Solutions is a unique portfolio of SaaS and BPaaS capabilities that accelerate business process innovation, deliver business analytics at the point of impact, and enable collaboration within and across the enterprise. Learn how to leverage a growing portfolio of 80+ IBM SasS and BPaaS solutions, accelerate your business process innovation, deliver business analtyics at the point of impact and connect people with collaborative business networks.
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software as a service, saas, saas solutions, business process innovation, analytics, bpaas, business process as a service, network management, network performance, network performance management, remote network management, business analytics, marketing automation, cloud computing
    
IBM
Published By: IBM     Published Date: Nov 12, 2013
Today IBM offers more than 80 cloud-based business solutions through software-as-a-service. IBM SmartCloud Solutions accelerate innovation for the enterprise across business processes, deliver business analytics at the point of impact, and connect people with collaborative business networks. Learn more at ibm.com/saas
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software as a service, saas, saas solutions, business process innovation, analytics, business process as a service, knowledge management, enterprise applications, cloud computing
    
IBM
Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: Dell EMC     Published Date: Nov 02, 2015
Read IDC’s Flash Survey and learn about how the digital transformation for industries, governments and economies is based on the three key enterprise IT mega trends: the modernization of IT legacy; harnessing cloud, mobile, big data analytics and social business; and innovation acceleration.
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emc, idc, flash, digital, enterprise, analytics, networking, security, enterprise applications
    
Dell EMC
Published By: Cisco     Published Date: Aug 28, 2015
A growing number of enterprises are adopting both private and public cloud computing models. While virtualization, cloud, mobility, data analytics, and the Internet of Things (IoT) are providing tremendous opportunities for businesses, they are also creating new challenges for IT departments.
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cloud, hybrid, iot, public cloud, application integration, itil, data warehousing, cloud computing
    
Cisco
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: NetApp     Published Date: Mar 05, 2018
Read this vendor assessment from IDC and find out about the suitability of 10 vendors' AFA platforms for dense mixed enterprise workload consolidation. Discover the areas where the most differentiation between vendors was noted, including their strategies around NVMe and cloud-based predictive analytics.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Cisco     Published Date: Jan 05, 2015
The current evolution of computing is prompting enterprise datacenters and their associated networks to adopt new approaches. The four pillars of computing — cloud, mobility, social, and analytics — are now the key trends driving new levels of network innovation that will determine the design and operation of datacenter networks over the next several years.
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cloud computing, infrastructure, marketplace, application, hybrid, enterprise, it management, enterprise applications
    
Cisco
Published By: Cisco     Published Date: Jul 30, 2015
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks.
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Cisco
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