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data volumes

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Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Gemini Data     Published Date: Jan 16, 2018
The increasing reliance on big data platforms for all functions of the organization has been transformative. As these environments mature and data volumes increase, organizations face infrastructure and management scalability challenges. Gemini Enterprise Manager simplifies deployment and management with a turnkey, NoOps appliance, providing simplicity, security, and speed to accelerate the time to value for any analysis use case. Manager allows you to control your Splunk deployment as a single, unified solution deployed on premises, in the cloud or both.
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Gemini Data
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Cloudian     Published Date: Feb 15, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Dell EMC     Published Date: Nov 10, 2015
From your most critical workloads to your cold data, a scale-out or scale-up storage solution — one that can automatically tier volumes or data to the most appropriate arrays or media (flash SSDs or HDDs) and offers advanced software features to help ensure availability and reliability — can help you efficiently manage your data center.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
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Dell EMC
Published By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
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data lake, big data, analytics
    
IBM APAC
Published By: VMWare - vFabric     Published Date: May 10, 2012
View this webcast to learn how to achieve real-time awareness by managing ever-increasing data volumes and transaction rates.
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vfabric, vmware virtualization, server virtualization, desktop virtualization, public cloud, private cloud, virtual machine, vmware
    
VMWare - vFabric
Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
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MarkLogic
Published By: VMware     Published Date: Aug 23, 2011
View this webcast to learn how to achieve real-time awareness by managing ever-increasing data volumes and transaction rates.
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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: Riverbed     Published Date: May 24, 2012
Data transfer bottlenecks and unpredictability on the Wide Area Network (WAN) can hurt application performance. In addition, the time required to migrate large volumes of data to and from data centers can be a serious concern to business continuity.
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wan, wan optimization, riverbed, virtual steelhead, data center
    
Riverbed
Published By: Dell & Microsoft     Published Date: Aug 14, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
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data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
    
Dell & Microsoft
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: CA Mainframe     Published Date: Sep 12, 2008
Increasing infrastructure complexity has led to unprecedented growth in enterprise systems management data on all systems, including the mainframe and it is becoming more complex to manage SMF data.  Download this Technology Brief to learn how to address the complexity of managing SMF data.
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smf, service management, data management, infrastructure, systems management, ca mainframe, mainframe
    
CA Mainframe
Published By: NetApp     Published Date: Nov 13, 2017
To help member hospitals and clinics easily, securely, and affordably protect expanding data volumes, Engage switched to NetApp® AltaVault backup.
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NetApp
Published By: EMC Corporation     Published Date: Jul 07, 2013
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
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enterprises, storage, information management, technology, platform, big data analytics, emc, self service
    
EMC Corporation
Published By: EMC Corporation     Published Date: Jul 07, 2013
While the concept of big data is nothing new, the tools and technology and now in place for companies of all types and sizes to take full advantage. Enterprises in industries such as media, entertainment, and research and development have long been dealing with data in large volumes and unstructured formats - data that changes in near real time. However, extracting meaning from this data has been prohibitive, often requiring custom-built, expensive technology. Now, thanks to advancements in storage and analytics, all organizations can leverage big data to gain the insight needed to make their businesses more agile, innovative, and competitive.
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big data, emc, technology, storage, analytics, data management, security, knowledge management
    
EMC Corporation
Published By: EMC Corporation     Published Date: Feb 13, 2015
Clutch Group provides litigation, compliance, and legal services to major Fortune 500 companies in sectors with large legal exposure (Finance, Life Sciences, Natural Resources, etc.). By using purpose-built technology solutions to extract deep insights from large data volumes, the company transformed its business approach of helping client firms make better legal decisions.
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all-flash-array, purpose-built technology, large data volumes, business approach, legal decisions, data management
    
EMC Corporation
Published By: Dell     Published Date: Sep 26, 2017
Government leaders have the unprecedented opportunity to accelerate the path to IT modernization. Download this whitepaper to learn more about the IT trends driving digital transformations and the considerations to be made in determining a successful strategy toward effective and compliant IT modernization. With the right approach, organizations can create an efficient and future-ready launching pad to agilely, cost-effectively and securely meet the needs of constituents, employees and internal customers; accommodate increasing data volumes; and comply with regulatory requirements.
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Dell
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: IBM     Published Date: Jul 06, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
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ibm, big data, trusted data, data management, data solutions, data center
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
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ibm, big data, trusted data, data management, data solutions, data center
    
IBM
Published 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
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