data growth

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Published By: Cisco     Published Date: Apr 04, 2014
A Cisco infographic on the predicted growth of the cloud with projections and behavioral predictions until 2017.
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cisco, cloud, data center, growth, predictions, research
    
Cisco
Published By: VMWare - vFabric     Published Date: May 10, 2012
Join IDC Analysts and NewEdge's Global Head of Data to hear how a new approach to applications and data is driving revenue growth and cost savings.
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vfabric, applications, vmware virtualization, server virtualization, desktop virtualization, public cloud, private cloud, virtual machine
    
VMWare - vFabric
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
Organizations are running their business on exponentially more data, created by more users, from different devices, and through different IT services and digital processes. While some data growth is fueled by new applications, it also arrives increasingly from non-traditional IT sources, including digital media, machines, and edge devices. Edge IoT devices are generating a massive amount of data that must be managed, monitored, stored, and analyzed. Deciding where to perform each of these functions is critical to supporting new data-driven global business services and processes. This blueprint from HPE Pointnext, the Services division of HPE, is based on real-world experiences from many customers across a range of industries on how to leverage flash storage modernization.
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Hewlett Packard Enterprise
Published By: IBM UK - ISM&S Storage     Published Date: Nov 17, 2011
Working with CVSI to deploy IBM Tivoli, BladeCenter and System Storage technologies
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data growth, data, storage, blade, back up, backup, tivoli, rpo
    
IBM UK - ISM&S Storage
Published By: Netsuite DWASF Leads Display Q1 2015     Published Date: Jun 10, 2015
This research paper argues that it is up to the CFO to work with IT to modernize the business before it is too late. Enterprises need greater transparency into the streams of data illuminating market opportunities and market risks. They need systems that scale in step with the organization’s growth and technologies assisting a more intimate customer relationship. This paper highlights five reasons why the CFO must lead the charge to modernize their organizations now—or risk being outrun by the competition.
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business management software, cloud erp, erp, business software, accounting software, business accounting software, cloud financials, small business software
    
Netsuite DWASF Leads Display Q1 2015
Published By: Schneider Electric     Published Date: Oct 31, 2017
In some cases, adopting cloud IoT platform may make more sense where required processes, communication costs and cloud costs meet sufficient total cost of ownership against deploying MDC. Additionally, in situations that an end-user organization already has a secure room or a modular data center solution where infrastructure can be housed and/or the amount of infrastructure involved may be too small to benefit from power/cooling advantages of being housed in an MDC, the organization may not see a need for an MDC. An MDC is nothing more than a smaller form of a modular data center, and a number of providers have entered the modular data center solutions space in the past. These modular data center solution providers came into the market with high expectations for growth and ROI only to find that high sales were not forthcoming due to limited use cases, so many exited the space.
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algorithm analysis, buyer trend, iot, workloads, market, vendors, data centers
    
Schneider Electric
Published By: CA Technologies     Published Date: Sep 25, 2017
APIs are a critical component of digital business—empowering developers to build apps across any channel and enabling partners to incorporate your data or services into their offerings. By making it easier for other organizations to access your services, you create value and growth opportunities.
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digital experience, mobile applications, business success, innovations, market, risk and cost, software development, ca technologies
    
CA Technologies
Published By: Juniper Networks     Published Date: Oct 20, 2015
Design a flexible and agile campus and data center network that will scale with a fast growing business.
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juniper, cloud, data center, zulily, network, networking, security, storage
    
Juniper Networks
Published By: Butler Technologies     Published Date: Jul 02, 2018
The Tenth Annual State of the Network Global Study focuses a lens on the network team’s role in security investigations. Results indicate that 88 percent of network teams are now spending time on security issues. In fact, out of 1,035 respondents, nearly 3 out of 4 spend up to 10 hours per week working exclusively on these types of problems - in addition to managing network upgrades, SDN, cloud, and big data initiatives. When it comes to technology adoption, both cloud and 100 GbE deployment continue to grow aggressively. VoIP adoption is closing in on 60 percent and software-defined networking (SDN) is projected to cross the halfway mark, indicating compounding network complexity amidst the ongoing struggle to ID security threats. With growth comes change and some trends identified in this year’s survey include a rise in email and browser-based malware attacks (63 percent) and an increase in sophistication (52 percent). Nearly 1 in 3 also report a surge in DDoS attacks, signaling a ne
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Butler Technologies
Published By: Schneider Electric     Published Date: Mar 28, 2019
Attracting Investors Webinar: With more than $18 billion in M&A activity in the first half of last year alone, the colocation industry is riding the bubble of rapid growth. Colocation data center providers are being evaluated by a wide range of investors, with varying experience and perspectives. Understanding the evaluation criteria is a critical competency for attracting the right type of investor and investment to your colocation business. Steve Wallage, Managing Director of Broad Group Consulting, has led more than 30 due diligence projects and will discuss specific areas of focus including assessment of financials, management, customers, business plan, competitive positioning and future strategy and exit. By attending this presentation colocation providers will: • Hear how investors are assessing colocation providers • Understand different types of investor strategy and positioning • Explore actual case studies –success stories as well as examples where investors walked away • Walk away with a greater understanding of how to not only attract investment, but the right type of investor to propel their business growth
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investors, schneider electric, - colocation provider, attracting investors, colo data center
    
Schneider Electric
Published By: Ogilvy - IBM UK     Published Date: Aug 08, 2011
This ESG whitepaper reviews challenges introduced by data growth and focuses on IBM data protection and retention products/technologies that address storage efficiency.
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ibm uk, esg, data growth, data protection, information systems, information management, business continuity, business resiliency
    
Ogilvy - IBM UK
Published By: Schneider Electric     Published Date: May 31, 2019
Data center designs have become much more safe, reliable, & efficient. However, we must continue to adopt new designs & emerging technologies to stay ahead of the pace of change. In this webinar, Steve Wallage, Managing Director of BroadGroup Consulting, shares his expertise to help global colocation providers: 1. Learn what changes colocation providers can make to adapt to the marketplace 2. Understand the future requirements of hyperscale cloud players 3. Hear of successful projects around the world and why they succeeded
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data center, business growth, schneider electric
    
Schneider Electric
Published By: Schneider Electric     Published Date: May 31, 2019
Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you: 1. Overcome the worldwide shortage of experienced data center professionals 2. Understand how out-tasking data center operations can benefit you & your clients 3. Identify key characteristics of a strong data center operations partner
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data center, business growth, schneider electric
    
Schneider Electric
Published By: VMware     Published Date: Aug 23, 2011
Join IDC Analysts and NewEdge's Global Head of Data to hear how a new approach to applications and data is driving revenue growth and cost savings.
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application server, data management, application monitoring and management, web server load balancing, enterprise messaging, vmware virtualization, server virtualization, desktop virtualization
    
VMware
Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
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ibm, application data, technology, enterprise, database archive
    
IBM
Published By: Dell Storage     Published Date: Apr 17, 2012
Traditional approaches to handling file data growth have proven costly, hard to manage and difficult to scale effectively. DFFS is designed to go beyond the limitations of traditional file systems with a flexible architecture.
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dell, fluid file, dffs, fluid file system, scale, architecture, limitations, capacity
    
Dell Storage
Published By: Clustrix     Published Date: Sep 04, 2013
Online advertising is a highly competitive and innovative market being driven to new levels by the rise of ad exchanges, real-time bidding alongside traditional ad networks. With advertisers increasingly buying one impression at a time, advertising market growth is soaring. If your database is the bottleneck limiting the growth of your advertising business, this is the white paper for you. Find out how Clustrix will give you access to functionality, such as ad segmentation and targeting based on up-to-the minute campaign performance, as well as instant access to smart data, so your clients can make the right buy decisions. This free whitepaper considers the technical challenges this rise presents for the database, and discusses the unique technology that enables Clustrix to solve these challenges and give your advertising business a competitive advantage.
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technology, clustrix, online advertising, real time bidding, database, analytics, it management, knowledge management
    
Clustrix
Published By: Epicor     Published Date: Oct 17, 2016
Why investing in better business intelligence tools is critical to your success
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data, success, metrics, business intelligence, success, networking, it management, knowledge management
    
Epicor
Published By: CA Technologies     Published Date: Aug 22, 2017
Today, 75% of Twitter traffic and 65% of Salesforce.com traffic comes through APIs. But APIs are not just for the social Web. According to ProgrammableWeb.com, the number of open APIs being offered publicly over the Internet now exceeds 2000—up from just 32 in 2005. Opening APIs up to outside developers enables many technology start-ups to become platforms, by fostering developer communities tied to their core data or application resources. This translates into new reach (think Twitter’s rapid growth), revenue (think Salesforce.com’s AppExchange) or end user retention (think Facebook).
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CA Technologies
Published By: Carbonite     Published Date: Apr 09, 2018
Global data deduplication provides important benefits over traditional deduplication processes because it removes redundant data through entire enterprises, not just single devices. Global deduplication increases the data deduplication ratio—the size of the original data measured against the size of the data store after redundancies are removed. This helps reduce the amount of storage required at a time when businesses face exponential storage growth. Chief benefits of global deduplication include: • Reductions in storage of up to 60% • The most optimal deduplication ratio • Enterprise-wide reach • Massive reductions in backup-related WAN traffic By shrinking storage capacity needs, data deduplication can cut storage costs quickly. At the same time, businesses today need to access and utilize their data in real time, making the most recent and relevant information available. By eliminating redundant data, deduplication technology makes it simpler for data to be managed across various b
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Carbonite
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Application release automation (ARA) tools enable best practices in deploying and promoting applicationrelated artifacts, properties, configurations and even data across an application lifecycle in a safe, predictable and repeatable manner. Gartner reports that using an ARA tool is key to enabling DevOps and achieving continuous delivery. Wikipedia also defines five dimensions of scalability that can apply to ARA tools: • Administrative scalability • Functional scalability • Geographic scalability • Load scalability • Generational scalability This white paper will explain how each of these criteria is relevant when choosing an ARA product that is capable of scaling along with the growth of your enterprise.
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CA Technologies_Business_Automation
Published By: Cognizant     Published Date: Oct 23, 2018
The implications of AI’s unique approach are profound: AI can learn by example rather than through brute-force programming; can understand human intention and emotions and act accordingly; and can handle extraordinarily complex relationships of data that are beyond the capability of human analysts working alone. AI can multiply what we currently do and take us to experiences we’ve never had before, at a speed and scale that will change entire industries. In these case studies, we’re pleased to present a range of real-world examples to guide your imagination. Here, you’ll find situations where companies like yours found AI to be part of the solution. These examples show how AI can enhance an existing application, workflow or process and reduce friction. This e-book presents how 10 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
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cognizant, artificial intelligence
    
Cognizant
Published By: Intapp     Published Date: Jan 09, 2019
New researchconducted by Intapp found that, while Mid Law firms attest that data-driven strategies are highly important in all areas of the client lifecycle, a significant gap exists as to how or whether they are currently deploying enabling technologies such as intelligent automation. Read the ebook to discover the full breadth of this gap, and learn best practices for how you can use technology to drive growth in the client-empowered era.
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law firm time, law firm better time, law firm automated time, law firm time sheet, law firm timesheet, law firm better time sheet, law firm better timesheet, law firm automated time sheet
    
Intapp
Published By: IBM     Published Date: Jan 27, 2017
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
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IBM
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
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