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big data cloud computing

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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: 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
    
SAP
Published By: IBM     Published Date: Jul 07, 2015
Users expect quick, consistent access to their business-critical data and applications around the clock. That’s why outages, whether they are planned or unplanned, can negatively affect revenue, consumer trust and your reputation.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
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: 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
    
EMC Corporation
Published By: TIBCO     Published Date: Nov 11, 2013
In an IT landscape dominated by big data, mobility, social networking and cloud computing, integration will not only grow in importance, its very nature will change. This paper will discusses the 21st Century IT landscape as it relates to the new integration, and argues that the need for a comprehensive integration strategy has never been more urgent.
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tibco, mobile strategy, integration, technology, best practices, inefficient integration, platform, business strategy
    
TIBCO
Published By: IBM     Published Date: May 28, 2015
In this book, you look at how the Smarter Process approach helps you create a more customer-centric organization. You discover how four major technologies — mobile, cloud computing, Big Data, and social collaboration — are disrupting the way you do business and how you can work through the challenges.
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smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration
    
IBM
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     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
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: 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
    
Schneider Electric
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
Tags : 
    
Amazon Web Services
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
    
QTS Data Centers
Published By: Kronos Incorporated     Published Date: Jan 23, 2013
Join Mollie Lombardi, Vice President of Aberdeen Group's Human Capital Management practice as she shares the latest research findings on how workforce management solutions can help the SMB improve productivity and business results.
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it trends, big data, workforce management, cloud, cloud computing, hrms, small business, hris
    
Kronos Incorporated
Published By: Kronos Incorporated     Published Date: Jan 23, 2013
For High-Performing Organizations, Time and Attendance Is More Than Just Tracking and Automating Timesheets
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it trends, big data, workforce management, cloud, cloud computing, hrms, small business, hris
    
Kronos Incorporated
Published By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
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forrester, enterprise, data, technology, best practices, innovation, security
    
SnowFlake
Published By: IBM     Published Date: Jul 27, 2015
Read this white paper for insight into the trends and factors driving the future of energy and utilities, and the resulting implications for the industry.
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insights, trends, business models, iot, internet of things, situational awareness, big data cloud computing, viable substitutes
    
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
    
Adaptive Computing
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
    
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: 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: May 29, 2015
Take action in the Internet of Things through data-in-motion analytics
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Pushing the start button on information governance.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure
    
IBM
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