data as service

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Published By: Pega     Published Date: May 24, 2016
The digital service revolution is well underway. For communications service providers (CSPs), it means going beyond traditional voice and data and upgrading their entire digital communications infrastructure. Research shows enterprise-class organizations are allocating heavy dollars towards communications solutions and prefer a single provider for digital services. This is a massive opportunity for CSPs to expand their services, generate more revenue, grow profit and increase market share. However, the majority of enterprises reported not receiving a consistently excellent experience with their most recent service contract. As a result, many switch to new providers. CSPs are losing credibility and the loyalty of their customers because of legacy and traditional systems that constrain their ability to act quickly. Enterprises are looking for CSPs who understand their complex business and can offer a full portfolio of digital services with quality and creativity to meet their needs.
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Pega
Published By: Emerson Network Power     Published Date: Feb 07, 2011
In this whitepaper, we will explain trends that drive management challenges that data center operators are faced with. We will then show you the value proposition of Emerson's solutions, which can help you to: . Adapt data center infrastructure without increased cost; . Improving efficiency without added risk; . Maximize existing infrastructure investments; . Ensure availability of mission-critical services; and . Extend the life of existing infrastructure. Read on for more.
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emerson, data center, automation, infrastructure, virtualization, cloud computing, cloud
    
Emerson Network Power
Published By: Siemon Company     Published Date: May 12, 2010
Siemon, a global leader in network cabling solutions and data center physical layer infrastructure, offers this new 66-page E-Book focused on guiding data center professionals and service providers through key infrastructure challenges.
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siemon, ieee, cooling, data center, cabling, cooling, networking, physical infrastructure
    
Siemon Company
Published By: HP     Published Date: Jul 29, 2008
This white paper describes an energy audit tool which can lead to significant decreases in the costs of running a data center.  Thermal Zone Mapping (TZM) is a visualization tool developed to present in graphical format high level thermal metrics developed by HP and targeted for use as part of the HP Data Center Thermal Assessment service. This tool uses data generated from computer models of the data center and generates metrics, which are then post-processed and visualized in the three-dimensional data center space.
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heat, data center, heat monitoring, hardware, datacenter, mission critical
    
HP
Published By: Teradata     Published Date: May 02, 2017
even West Media (SWM) is Australia’s leading multiple platform media company with a market-leading presence in broadcast television, magazine and newspaper publishing, and online. To support its unprecedented broadcast of the Rio de Janeiro 2016 Olympic Games, SWM integrated the world’s first production implementation of the Teradata Database running on Amazon Web Services (AWS) into its existing data ecosystem. This enabled the delivery of critical insights during the event and helped directly drive audience engagement with SWM’s digital products, resulting in the creation of a powerful audience asset that that now informs their broadcasting, marketing, and advertising plans. Find out how with in this case study.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Teradata
Published By: Infosys     Published Date: Sep 12, 2019
Digital-born companies have challenged large long-established businesses across industries with newer data, AI-powered experiences, products/services. Sustained competitive advantage through customer ownership and seller power has since been significantly challenged and overturned. Customers are taking to newer AI and data-powered products/services in their pursuit of better experiences and exponentially higher value. This has triggered every company to challenge status-quo, unleash themselves from very structure of industry and embrace transformation in the new world. Data and AI have shaped themselves into a major economic force that is at the epicenter of transformation of every industry; through 3 horizons. Data, in the first horizon, was the key ingredient in driving more data-driven decisions. Data, in the second horizon, is playing a transformational role in the enterprises' pursuit of being Data Native Digital Native enterprise.
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Infosys
Published By: NetApp     Published Date: Mar 05, 2018
NetApp® Data Fabric enabled solutions empower organizations to use data to make intelligent decisions about how to optimize their business and get the most out of their IT infrastructure. They provide essential data services for data visibility and insight, data access and control, and data protection and security. 
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: DataFlux     Published Date: Jan 07, 2011
This white paper explores the various methods of data integration that can help an organization find a solution that fits its specific business needs.
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dataflux, data integration, etl, extract, transform and load, enterprise, consolidation, software-as-a-service
    
DataFlux
Published By: Hitachi Vantara     Published Date: Apr 12, 2018
Not applications. Not infrastructure. Data. Innovate faster with data services from Hitachi Vantara. Regardless of Where You Are on the Path to Transformation – Get There Faster With Hitachi Hitachi Vantara is the only data company with advanced data services for every type of data, from any application, on any vendor’s solution and for any need. Partner With Hitachi To Master Your Digital Transformation.
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Hitachi Vantara
Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: Intralinks     Published Date: Mar 12, 2014
In the age of Edward Snowden and the NSA, there are increasing concerns about data privacy and especially where best to keep data secure. The prevalence of cloud computing and cloud-based storage and collaboration services is only exacerbating these concerns. Many organizations are confused about regulations that protect data in different countries and jurisdictions, and don’t know what steps to take to ensure their cloud collaboration vendor can provide adequate safeguards. While pushback and reform efforts are evolving, the reality is that companies must operate within the law. Deciding where to house your data and how to move it is an exercise in understanding the relevant legal regimes and the application of risk analysis in the decision making process. This white paper will examine those elements with regard to cloud-based storage and processing.
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data privacy, technology, data, security, safeguards, cloud computing
    
Intralinks
Published By: EMC Backup & Recovery Solutions     Published Date: Aug 27, 2009
Data profile assessments will let us help you determine the best match for your situation, the data you are looking to protect, your service level agreements, and the specifics of your current challenges and environment.
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emc, data domain, efficiency, api, disk backup, recovery, vmware, server consolidation
    
EMC Backup & Recovery Solutions
Published By: TIBCO Software     Published Date: Jan 17, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. TIBCO® Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •?What data virtualization is and its benefits •?When and when not to use data virtualization •?How to deploy data virtualization to benefit your business
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virtualization, data, users, analytics, sql, application, access, directory
    
TIBCO Software
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. TIBCO® Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •? What data virtualization is and its benefits •? When and when not to use data virtualization •? How to deploy data virtualization to benefit your business
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TIBCO Software GmbH
Published By: TIBCO Software     Published Date: Jan 17, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: What data virtualization is and its benefits When and when not to use data virtualization How to deploy data virtualization to benefit your business How to unlock the value of your SAP data
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virtualization, data, users, analytics, sql, application, access, directory
    
TIBCO Software
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •? What data virtualization is and its benefits •? When and when not to use data virtualization •? How to deploy data virtualization to benefit your business •? How to unlock the value of your SAP data
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TIBCO Software GmbH
Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19
Published By: Oracle     Published Date: Apr 03, 2012
This white paper describes how to successfully consolidate your database onto a private cloud through several deployment models.
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orace, service models, cloud management, 11g, database services, database consolidation
    
Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Traditional backup systems fail to meet the needs of modern organizations by focusing on backup, not recovery. They treat databases as generic files to be copied, rather than as transactional workloads with specific data integrity, consistency, performance, and availability requirements. Additionally, highly regulated industries, such as financial services, are subject to ever?increasing regulatory mandates that require stringent protection against data breaches, data loss, malware, ransomware, and other risks. These risks require fiduciary?class data recovery to eliminate data loss exposure and ensure data integrity and compliance
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Oracle
Published By: Oracle     Published Date: Aug 02, 2018
T raditional backup systems fail to meet the needs of modern organizations by focusing on backup, not recovery. They treat databases as generic files to be copied, rather than as transactional workloads with specific data integrity, consistency, performance, and availability requirements. Additionally, highly regulated industries, such as financial services, are subject to ever?increasing regulatory mandates that require stringent protection against data breaches, data loss, malware, ransomware, and other risks. These risks require fiduciary?class data recovery to eliminate data loss exposure and ensure data integrity and compliance. This book explains modern database protection and recovery challenges (Chapter 1), the important aspects of a database protection and recovery solution (Chapter 2), Oracle’s database protection and recovery solutions (Chapter 3), and key reasons to choose Oracle for your database protection and recovery needs (Chapter 4).
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Oracle
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: Aberdeen Group     Published Date: Jun 02, 2011
The focus of this document is to quantify the cost of IT-induced business downtime.
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aberdeen, datacenter uptime, roi, disaster recovery, best-in-class, industry average, laggard, sla
    
Aberdeen Group
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