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big data cloud computing

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Published By: IBM     Published Date: May 12, 2015
In this guide, we explore the technological trends that are transforming the retail industry, across the areas of Big Data and Analytics, Cloud Computing, Mobile and Social Engagement, and Security
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retail industry, big data, analytics, cloud computing, mobile engagement, security, emerging marketing, crm & customer care, e-commerce
    
IBM
Published By: IBM     Published Date: Jan 14, 2015
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
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big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model, scale on demand
    
IBM
Published By: IBM     Published Date: May 29, 2015
Learn how innovative communications service providers are extracting value from uncertain data through this whitepaper!
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, telecommunications
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: Adaptive Computing     Published Date: Feb 06, 2014
A new approach, known as “Big Workflow,” is being created by Adaptive Computing to address the needs of these applications. It is designed to unify public clouds, private clouds, Map Reduce-type clusters, and technical computing clusters. Download now to learn more.
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adaptive, ada[tive computing, big data, data center, workload management, servers, cloud, cloud computing, storage, data storage
    
Adaptive Computing
Published By: Progress Software     Published Date: Mar 12, 2014
Big data and cloud data are still hurling outward from the “big bang.” As the dust settles, competing forces are emerging to launch the next round of database wars—the ones that will set new rules for connectivity. Progress® DataDirect Cloud™ is well positioned to help organizations establish data control amid the chaos. How? Information workers at all levels require easy access to multiple data sources. With a premium cloud based connectivity service, they can count on a single, standardized protocol to inform their most business critical applications.
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progess software, datadirect, big data, cloud computing, connectivity, data management, cloud data, database wars
    
Progress Software
Published By: Dell     Published Date: Aug 24, 2015
This paper discusses how the many Dell | Cloudera Hadoop solutions help organizations of all sizes, and with a variety of needs and use cases, tackle their big data requirements.
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dell, big data, data management, cloud solutions, hadoop, servers, cloud computing, storage
    
Dell
Published By: HP and Intel ®     Published Date: May 27, 2014
Download this whitepaper to learn about the shifting IT landscape, as we see the rise of mobility, social networking, Big Data, and cloud computing.
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intel, converged infrastructure, mobile users, applications, virtualization, enterprises
    
HP and Intel ®
Published By: HP     Published Date: May 27, 2014
Download this whitepaper to learn about the shifting IT landscape, as we see the rise of mobility, social networking, Big Data, and cloud computing.
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intel, converged infrastructure, mobile users, applications, virtualization, enterprises
    
HP
Published By: Oracle EPM     Published Date: May 11, 2015
Which EPM priorities are at the top of the Finance agenda? What are the most compelling developments in big data, analytics, mobile technology, and cloud computing that motivate Finance leaders to undertake new technology initiatives?
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epm, finance, technology, cloud computing, big data
    
Oracle EPM
Published By: SAP     Published Date: Dec 04, 2015
Download this whitepaper to see how advanced technologies such as big data, cloud computing, mobile devices, and enterprise access to in-memory platforms, predictive analytics, and planning software can help CFOs make better and more sophisticated use of data, influence decisions, and take practical, timely action.
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finance function, finance, cfo, big data, cloud computing, mobile, in-memory platforms, predictive analytics, planning software
    
SAP
Published By: EMC Corporation     Published Date: Mar 20, 2014
Learn how EMC Solutions help create value by merging Big Data with Cloud Computing in this animation video narrated by EMC's Patricia Florissi, VP and Global Sales CTO.
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emc, big data, cloud computing, video, applications, merging big data with cloud computing, growth of data, data structure, data format
    
EMC Corporation
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: 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.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: IBM     Published Date: Sep 15, 2014
In this white paper, IDC examines how IBM's Storwize family of storage offerings is changing the game by delivering a robust enterprise grade virtualization platform that is efficient, cost-effective, and optimized.
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enterprise storage, big data, cloud computing, virtualization platform
    
IBM
Published By: IBM     Published Date: Apr 15, 2015
EMA is very much aligned with the directions that IBM is taking in its IT operations analytics strategy and product portfolio. While there is room for improvement, EMA remains optimistic that Netcool Operations Insight is the next step in a continuing set of leadership moves by the company.
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business intelligence, efficiency, analytics, big data, cloud computing, insight
    
IBM
Published By: QTS Data Centers     Published Date: Feb 18, 2014
The cloud has been beneficial to many IT departments by enabling quicker responses to the fast-moving market and ever-changing customer needs. So when is your business migrating over?
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qts, the cloud, migrating, integration, technology, it departments, migration, it leaders, it budget, it budget increase, flexibility, scalability, capital expenditures, service provider, cloud provider, big data, analytics, cloud computing, cloud working, application
    
QTS Data Centers
Published By: IBM     Published Date: May 28, 2015
Transform your organization into a mobile enterprise for optimized business and customer-centric engagements
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smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration
    
IBM
Published By: Oracle EPM     Published Date: May 11, 2015
No matter how you define it, cloud, social, mobile, and big data are changing the competitive dynamics of the global economy and creating significant value for companies that know how to create business models leveraging these technologies.
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finance, investment, big data, cloud computing
    
Oracle EPM
Published By: Schneider Electric     Published Date: Feb 17, 2017
In this white paper, we will look into: • The changing face of the colocation buyer • Industry structure, including mergers and acquisitions • The Internet of Things and big data • Edge computing • Cloud computing and Internet Giants • The impact of data center infrastructure management (DCIM) • Data center design architectures
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colocation, iot, internet of things, big data, edge computing, cloud computing, dcim, data center infrastructure management, data center design architectures
    
Schneider Electric
Published By: Oracle     Published Date: Jan 28, 2019
This report provides an overview of the Oracle Cloud at Customer portfolio (this includes Oracle Exadata Cloud at Customer, Oracle Big Data Cloud at Customer, Oracle SaaS at Customer and Oracle Cloud at Customer) and analyzes its capabilities to satisfy the need of enterprises for a next-generation computing platform. A next-generation computing platform allows enterprises to deploy workloads across the premises and the public cloud. For enterprises running their next-generation applications on a next-generation computing platform, Oracle Cloud at Customer does very well because of Oracle’s vision of the “chip-to-click” integrated technology stack (i.e., from the CPU silicon, across all OSI layers and all the way to the end-user mouse click). With Oracle using the same technology stack and machines both in its cloud and on premises, it has the highest degree of identicality across these offerings from all vendors that are part of Constellation Research’s Market Overview on next-genera
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Oracle
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