data growth

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By: HP     Published Date: Feb 02, 2015
Ever-increasing data volumes driven by the constant growth in both structured and unstructured data coupled with the ever decreasing costs of storage capacity on a per GB basis are continuing to put a strain on corporate backup abilities. While other backup and data optimization technologies offer some relief, deduplicating backup appliances have become the go to solution. They provide a quick, largely non-disruptive plug-and-play solution that alleviates backup pain, reduces storage consumption by up to 20x and have become a proven frontrunner in the ongoing battle to improve the backup experience.
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     HP
By: Delphix     Published Date: Jun 27, 2014
Healthcare reform is transforming the US health insurance sector, creating a dynamic and competitive new market with compelling opportunities for growth. Does your IT organization have what it takes to capitalize on these opportunities? Here are 5 ways technology investment delivers the agility you need – and how.
Tags : agile data, healthcare payer, cios, growth, technology, health insurance, it management, knowledge management, data management
     Delphix
By: HP     Published Date: Feb 11, 2015
Ever-increasing data volumes driven by the constant growth in both structured and unstructured data coupled with the ever decreasing costs of storage capacity on a per GB basis are continuing to put a strain on corporate backup abilities. While other backup and data optimization technologies offer some relief, deduplicating backup appliances have become the go to solution. They provide a quick, largely non-disruptive plug-and-play solution that alleviates backup pain, reduces storage consumption by up to 20x and have become a proven frontrunner in the ongoing battle to improve the backup experience.
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     HP
By: Dun & Bradstreet     Published Date: Oct 30, 2015
Big returns on marketing investments.
Tags : hoover, data, marketing, investment, growth
     Dun & Bradstreet
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
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
By: Veritas     Published Date: May 12, 2016
The Data Genomics Index is a first-of-its-kind benchmark analysis of data stored within a typical enterprise environment. This report reveals insights into data growth, data age, and data type thereby providing organizations with the comparison standard for beginning to take action on their data. In addition to the Index, Veritas has founded the Data Genomics Project. This community of likeminded data scientists, industry experts and thought leaders will come together to surface the true nature of enterprise environments, build the data-genome that matters for information management, and share the discussion with a world struggling to solve tremendous data growth challenges.
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     Veritas
By: VMware     Published Date: Jun 04, 2019
How can a software-defined data center help your company gain a bigger competitive advantage? To help your business stay competitive, your IT organization needs a modern data center that can provide the agility, security, and scalability required to drive innovation and growth in the digital era. Get suggestions and tips for modernizing your data center in this For Dummies guide.
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     VMware
By: VMware     Published Date: Jun 04, 2019
"In an era where speed and performance are critical, moving to a software-centric approach in every area of the data center is the only way to get ahead in today's digital economy. A modern, software-defined infrastructure, enables organizations to leverage prior investments, extend existing IT knowledge and minimize disruption along the way. VMware and Intel provide IT organizations a path to digital transformation, delivering consistent infrastructure and consistent operations across data centers and public clouds to accelerate application speed and agility for business innovation and growth."
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     VMware
By: IBM     Published Date: Jan 19, 2017
With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.
Tags : ibm, analytics, data, ecm, big data, information governance, enterprise applications, data management
     IBM
By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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     IBM
By: HotSchedules     Published Date: Apr 25, 2018
Restaurant technologies have transformed drastically over the past decade, however there have been several misconceptions about the impact big data can have on restaurant operations. According to a Hospitality Technology study, only 23% of restaurants have confidence in overall tech innovation. When it comes to the state of technology many restaurants are still stuck with disconnected architecture, complex legacy systems, lack of visibility, and high maintenance costs. These challenges ultimately intimidate restaurant operators to outdated systems and processes that significantly limit their business growth. This ebook looks at the four pressing challenges and presents one unifying solution.
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     HotSchedules
By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
Tags : cloud, data model, multi-model
     Datastax
By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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     IBM
By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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     Group M_IBM Q418
By: OracleSMB     Published Date: Jan 04, 2018
You may think that your finance group is performing well, but it is critical to always look for ways to improve. Continuous improvement equates to competitive advantage, no matter the department. Seek out ways to improve the handling of payables and receivables, streamline the procurement process, expedite the financial close process, and effectively analyze all your data. If you are not sure where to start, read this ebook to learn the four questions you should ask to improve your finance and reporting capabilities and ensure continued growth.
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     OracleSMB
By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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     Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
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     Group M_IBM Q2'19
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.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Diligent
By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
Tags : it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
     Red Hat, Inc.
By: MicroStrategy     Published Date: Jan 23, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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     MicroStrategy
By: MicroStrategy     Published Date: Apr 11, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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     MicroStrategy
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.
Tags : virtualization, converged infrastructure, cloud computing, convergence, mission-critical applications, servers, cloud, it infrastructure, data management
     HP - Intel® Xeon® processors
By: NetApp     Published Date: Dec 15, 2014
Organizations expect their IT departments to deliver a SAN storage infrastructure that can support faster rollout of applications and services, continuous and fast access to data in key applications, and efficient scale to address corporate data growth without comparable growth in IT expenses. This IDC white paper reviews the key SAN storage features required to meet such challenges and the NetApp SAN storage portfolio offerings that best address your needs.
Tags : san storage, business workloads, access to data, data growth, it expenses, storage
     NetApp
By: NetApp     Published Date: Dec 15, 2014
IT managers and line-of-business stakeholders are striving to increase efficiency of their application environments. The biggest challenges they face in supporting database environments are managing data growth and database size, and meeting database performance requirements. This ESG Lab Report documents the performance, reliability, availability, and serviceability of NetApp EF Series flash arrays in Oracle database environments.
Tags : it managers, application environments, data growth, serviceability, performance, storage
     NetApp
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