rapid data growth

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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: HPE & Intel®     Published Date: Oct 10, 2016
In the financial services industry (FSI), high-performance compute infrastructure is not optional; it’s a prerequisite for survival. No other industry generates more data, and few face the combination of challenges that financial services does: a rapidly changing competitive landscape, a complex regulatory environment, tightening margin pressure, exponential data growth, and demanding performance service-level agreements (SLAs).
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HPE & Intel®
Published By: Sage     Published Date: Nov 26, 2018
In our latest survey report, we explore the growth challenges facing businesses and HR leaders in a rapidly changing landscape. We surveyed over 500 HR leaders in leading organizations to explore their views around these challenges, and to find out how they are supporting people and leveraging people data to help them achieve their growth goals. Read our report to learn more and discover what you can do to become a People Company.
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Sage
Published By: Akamai Technologies     Published Date: Aug 17, 2017
The rapid rate of mobile adoption provides today’s users with nearly unlimited access to data and information anytime, anywhere. While “always on” users represent a tremendous opportunity for businesses to increase engagement, revenue, and customer loyalty, they also create unprecedented mobile delivery challenges. In this e-book, we will delve into these challenges and learn how to master them by optimizing for fast APIs, mobile apps, and mobile sites. But before we do that, let’s start our mobile story with some perspective: Approximately half of you reading this e-book will do so on mobile. That fact alone should be a compelling enough reason to keep reading, but in case it’s not, the following data illustrates the impact mobile growth has had on our technological landscape.
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mobile, mobile adoption, customer loyalty, always on
    
Akamai Technologies
Published By: HPE     Published Date: Dec 05, 2014
Data is the lifeblood of your business. To compete in today’s global information economy, you need to keep your IT systems up and running and provide consistent and reliable access to business-critical applications at all times. Application downtime or slow performance can mean diminished employee productivity, dissatisfied customers, and lost revenue. But keeping pace with change and managing growth can be a real challenge. Increasing numbers of applications, evolving technology, and rapid data growth are pushing older IT infrastructure to the limit—demanding more storage and bandwidth, greater security and agility, and higher availability than ever before.
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platform, technology, lync, server, sql, flex-bundles, proliant, processors, server experience, customers, configuration, storage, networking, data management
    
HPE
Published By: HPE     Published Date: Dec 05, 2014
Data is the lifeblood of your business. To compete in today’s global information economy, you need to keep your IT systems up and running and provide consistent and reliable access to business-critical applications at all times. Application downtime or slow performance can mean diminished employee productivity, dissatisfied customers, and lost revenue. But keeping pace with change and managing growth can be a real challenge. Increasing numbers of applications, evolving technology, and rapid data growth are pushing older IT infrastructure to the limit—demanding more storage and bandwidth, greater security and agility, and higher availability than ever before.
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platform, technology, lync, server, sql, flex-bundles, proliant, processors, server experience, customers, configuration, storage, networking, data management
    
HPE
Published By: Sage People     Published Date: Jan 22, 2019
In our latest survey report, we explore the growth challenges facing businesses and HR leaders in a rapidly changing landscape. We surveyed over 500 HR leaders in leading organisations to explore their views on these challenges, and to find out how they are supporting people and leveraging people data to help them achieve their growth goals. The survey revealed that: • It’s the war for talent, again. The greatest challenges for growing companies are winning the war for talent, growing productivity and improving workforce visibility. • Fast-growth companies share common traits in the way they manage and engage their people—we call this being a People Company. • There’s a disconnect between managers and employees in terms of what being a People Company means. • Becoming a People Company is a journey, with many organisations some way from embracing all aspects. • People Science is a thing: there’s an appetite to leverage people data and analytics, but there are blockers in the way. Re
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Sage People
Published By: Sage People     Published Date: Jan 29, 2018
In our latest survey report, we explore the growth challenges facing businesses and HR leaders in a rapidly changing landscape. We surveyed over 500 HR leaders in leading organisations to explore their views on these challenges, and to find out how they are supporting people and leveraging people data to help them achieve their growth goals.
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Sage People
Published By: Palo Alto Networks     Published Date: May 25, 2017
The security perimeter once familiar to the enterprise has become incredibly fragmented. Data and applications reside everywhere: on the network, endpoints and in the cloud. The cloud, in particular, is seeing huge growth with enterprises adopting these environments at a rapid pace. According to Gartner, 55 percent of large enterprises will successfully implement an all-in cloud SaaS strategy by 2025.1 Combined with an increasingly mobile and global workforce, and more importantly, increasingly distributed SaaS cloud environments, organizations are now faced with securing a multitude of applications, users, devices and networks – all hosting sensitive data that is critical to business growth, reputation and customer trust.
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Palo Alto Networks
Published By: Veritas     Published Date: May 12, 2016
In the US Databerg Report, Veritas indicates that 54% of data in US companies is "dark data", costing companies alot of money. The report advises that businesses should keep a close eye on the rapidly growing data deluge (that is, the huge influx of data), adding that many businesses already do not anticipate the contstant growth of data. As such, there are important consequences for those who ignore the growing Databerg.
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Veritas
Published By: Diligent     Published Date: Jul 10, 2017
Data is everywhere - on moblie devices, in the cloud, in transit. The Accumulation of data and the rise of business using data to better hone their practices are rapidly evolving as data comes from various platforms and in different forms. Data growth, new technologies and evolving cyber threats create challenges for organizations looking to set the strategies, framework and policies for keeping all of that information secure.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Diligent
Published By: HP - Intel® Xeon® processors     Published Date: Nov 07, 2012
Learn how Priceline accommodated significant year-over-year data growth while speeding time to offer new services, boosting storage utilization, and maintaining constant availability.
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virtualization, converged infrastructure, cloud computing, convergence, mission-critical applications, servers, cloud, it infrastructure
    
HP - Intel® Xeon® processors
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
Published By: McAfee EMEA     Published Date: Mar 14, 2018
Use of cloud computing services continues to grow rapidly as organizations migrate business applications and data to cloud-based software, platform and infrastructure services. Gartner estimates 2017 will see growth of 18% in spending on public cloud services and that cloud adoption will infuence more than 50% of IT spending through 2020. Deloitte Global predicts that by the end of 2022 more than half of all IT spending will go to IT-as-a-service providers. In the 2016 edition of this survey, 56% of the security professionals responding said limitations on access to collect incident response data and evidence for forensic analysis was a key challenge to securing the cloud. Sixty-two percent said they were concerned about unauthorized access by outsiders, and 59% said they worried about access by other cloud tenants. Of the 10% who reported being breached, half blamed stolen credentials or compromised accounts.
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McAfee EMEA
Published By: HP     Published Date: Aug 03, 2009
Medical research is surging into the 21st Century, and includes the dawn of personalized medicine. The realization of personalized medicine is being driven by the increasing speed and dropping costs of gene sequencing. These new technologies for rapid sequencing have created a dramatic need for storage technologies that will radically increase the speed, while reducing costs for research storage. Read this white paper to learn how the exponential growth in genome-mapping data has spawned the growth in affordable, petabyte-capacity storage solutions that can scale as quickly as the data is produced.
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hp storageworks, data storage, petabyte-scale storage, network-attached storage (nas)
    
HP
Published By: NexGen     Published Date: Feb 09, 2015
Data integrity and ultra-high performance dictate the success and growth of many companies. One of these companies is BridgePay Network Solutions, a recently launched and rapidly growing financial services organization that allows merchants around the world to process millions of daily credit card transactions. Due to the nature of their business, their IT team needed to strike the perfect balance between meeting regulatory-mandated data security measures with the lowest possible levels of latency and response times. As their growth accelerated, BridgePay realized the need to immediately address infrastructure shortcomings and prepare for their future growth. Download the case study now and see how BridgePay built a competitive advantage and scaled transactions by 500% in the same storage footprint using some of the most advanced and differentiated technology available today.
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vmware, bridgepay, solutions, spx, hyrbrid, flash
    
NexGen
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: Basho     Published Date: Apr 13, 2015
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers. Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
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riak, basho, telecommunications service provider, license fees, scalability, availability, data usage, big data, service operations system
    
Basho
Published By: EMC Corporation     Published Date: Jun 12, 2012
Due to rapid data growth and an ambitious virtualization plan, the Belgian town of Balen needed a more cost-effective and scalable storage solution. Find out about how Balen used EMC VNXe to solve their problems in this complimentary case study!
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emc vnx, balen, emc vnxe, san, nas, backup, emc, idc analyst report, virtualization, backup and recovery, vm sprawl, vmware, disaster recovery, infrastructure, avamar
    
EMC Corporation
Published By: HP and Intel® Xeon® processors     Published Date: Nov 12, 2012
In this case study, We look at Priceline.com, one of the Internets biggest winners, that ended up redefining how people would book travel reservations. Learn how HP helped priceline accommodate year over data growth, constant availability and more.
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hp converged infrastructure, priceline, it management, it infrastructure
    
HP and Intel® Xeon® processors
Published By: HP-Intel®     Published Date: Feb 28, 2013
Priority Health recently implemented two HP P9500 Disk Arrays to handle its Oracle database, financials, and other critical data totaling around 200 TB.
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healthcare, priority health, rapid data growth
    
HP-Intel®
Published By: Group M_IBM Q1'18     Published Date: Mar 06, 2018
Rapid data growth and inefficient data protection systems cause many organizations to spend money in ways they'd rather not. Learn 10 ways that IBM data protection solutions can help organizations modernize infrastructure and save money - freeing up funds to invest in new ideas.
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data protection systems, ibm data protection, modernize infrastructure
    
Group M_IBM Q1'18
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