data volume

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Published By: Dell EMC     Published Date: Oct 30, 2019
As data volumes grow larger every year, businesses that adopt more sophisticated approaches to storing and deriving value from that data benefit in terms of performance, scalability, and cost. How do you migrate effectively to the latest storage and infrastructure technologies, while also mitigating the associated disruption and risk? Download this overview from Dell EMC and Intel® to learn more.
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Dell EMC
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
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MicroStrategy
Published By: Gigaom     Published Date: Dec 12, 2019
Day in and day out, organizations run their businesses with transactional applications and databases. A key to any transactional application—whether it is processing bank transactions, keeping a gaming platform in sync, or monitoring health conditions—is processing high volumes of data at high speed. Latency is particularly relevant to read- and write-intensive applications in the cloud, where database latency, plus latency created by network throughput, API/microservice calls, and other processes compound. There are a variety of databases available to the transactional application. Ideally, any database would have the required capabilities. This free 1-hour webinar from GigaOm Research brings together GigaOm analyst William McKnight and special guests from Microsoft, Senior Product Marketing Manager Debbie Lyons and Microsoft Principal Program Manager Joe Sack, to discuss the results from a GigaOm Analytic Field Test derived from the industry-standard TPC Benchmark™ E (TPC-E) to com
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Gigaom
Published By: SAP     Published Date: Feb 03, 2017
In the digital economy, data is becoming more interconnected every day. The volume of highly-connected data is growing rapidly, while also becoming a highly-valued corporate asset. By exploring relationships among people, processes and things, new business opportunities emerge, helping grow your business's competitive advantage.
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SAP
Published By: HERE Technologies     Published Date: Jan 22, 2019
To improve safety and mobility across its 5,600km road network, the City of Toronto forged a partnered with HERE Technologies for the provision of traffic, incident, and historical traffic data. Access to this data allows the city authority to see exactly what’s happening on its roads and more easily and affectively run studies on improvement projects. This case study details how HERE Technologies enabled the City of Toronto’s transportation team to: Work smarter with comprehensive network coverage and accurate data to aid analysis Examine the impact of city projects without significant forward planning or expenditure Ensure travel volume models used to drive decision making are calibrated to represent real-world truths
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public sector, urbanization, traffic management
    
HERE Technologies
Published By: Spectrum Enterprise     Published Date: Jun 05, 2019
The success of every business is driven by the quality of its connections, whether with clients, employees, investors, suppliers, manufacturers or other key stakeholders. Increasingly, these relationships are measured through data-driven analytics, enhanced through video communication, and empowered through cloud computing and collaboration. As the volume of data grows, so do bandwidth requirements.
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Spectrum Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Modern storage arrays can’t compete on price without a range of data reduction technologies that help reduce the overall total cost of ownership of external storage. Unfortunately, there is no one single data reduction technology that fits all data types and we see savings being made with both data deduplication and compression, depending on the workload. Typically, OLTP-type data (databases) work well with compression and can achieve between 2:1 and 3:1 reduction, depending on the data itself. Deduplication works well with large volumes of repeated data like virtual machines or virtual desktops, where many instances or images are based off a similar “gold” master.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
The next wave of cloud storage innovation is upon us. It’s called multicloud. With multicloud storage you can combine cloud simplicity with enterprise-grade reliability, provide data mobility among multiple cloud types, and eliminate vendor lock-in. And it’s available right now through the Nimble Cloud Volumes service.
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cloud, storage, flash
    
Hewlett Packard Enterprise
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: Dell EMC     Published Date: Nov 03, 2016
IT managers are struggling to keep up with the “always available” demands of the business. Data growth and the nearly ubiquitous adoption of server virtualization among mid-market and enterprise organizations are increasing the cost and complexity of storage and data availability needs. This report documents ESG Lab testing of Dell EMC Storage SC Series with a focus on the value of enhanced Live Volume support that provides always-available access with great ease of use and economics.
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storage, data, sql, architecture
    
Dell EMC
Published By: Freshdesk     Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love. In this whitepaper, we detail how you can - Provide your agents with complete context by pulling data from your third party systems into your helpdesk - Reduce ticket volume and help customers help themselves by setting up a knowledge base - Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!
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Freshdesk
Published By: Commvault     Published Date: Jul 06, 2016
Think of a wildfire that quickly spreads as it increases in speed and power. That is what is happening today as data growth increases the volume and management complexity of storage, backup and recovery. Now think of trying to stop that fire with a garden hose. Your traditional backup and recovery process is equally under-equipped to manage and facilitate operations that need more speed, efficiency, scalability and reliability to handle today’s 24/7, always-on environment. Here we examine the benefits of moving from a solution comprised of multiple point products to a holistic data protection platform designed to serve today’s enterprise.
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commvault, data protection, storage, backup, recovery, holistic data protection, singe pane of glass, common code base
    
Commvault
Published By: Commvault     Published Date: Jul 06, 2016
ENDPOINT DATA. It’s often one of the most forgotten aspects of an enterprise data protection strategy. Yet, content on laptops, desktops and mobile devices is among a company’s most valuable data even while it’s potentially at the greatest risk. According to IDC there will be some 1.3 billion mobile workers by 2015. However, only half of enterprises today are using some type of endpoint backup. That means that the volume of endpoint data that is in jeopardy is nothing short of significant. Download to read the buyer's checklist on endpoint data protection!
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commvault, endpoint data protection, endpoint data, data protection, backup, encryption, data loss prevention, mobile app
    
Commvault
Published By: Carbonite     Published Date: Apr 09, 2018
Malware that encrypts a victim’s data until the extortionist’s demands are met is one of the most common forms of cybercrime. And the prevalence of ransomware attacks continues to increase. Cybercriminals are now using more than 50 different forms of ransomware to target and extort money from unsuspecting individuals and businesses. Ransomware attacks are pervasive. More than 4,000 ransomware attacks happen every day, and the volume of attacks is increasing at a rate of 300 percent annually.1 According to an IDT911 study, 84 percent of small and midsize businesses will not meet or report ransomware demands.2 No one is safe from ransomware, as it attacks enterprises and SMBs, government agencies, and individuals indiscriminately. While ransomware demands more than doubled in 2016 to $679 from $294 in 2015, the cost of remediating the damage and lost productivity is many multiples higher.3 Ransomware is the equivalent of catastrophic data loss, except
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Carbonite
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: Dell PC Lifecycle     Published Date: Mar 09, 2018
Komprimierungsalgorithmen sorgen dafür, dass weniger Bit benötigt werden, um einen bestimmten Datensatz zu repräsentieren. Je höher das Komprimierungsverhältnis, desto mehr Speicherplatz wird durch dieses spezielle Datenreduzierungsverfahren eingespart. Während unseres OLTP-Tests erreichte das Unity-Array bei den Datenbank-Volumes ein Komprimierungsverhältnis von 3,2:1, während das 3PAR-Array im Schnitt nur ein Verhältnis von 1,3:1 erreichte. In unserem Data Mart-Ladetest erzielte das 3PAR bei den Datenbank-Volumes ein Verhältnis von 1,4:1, das Unity-Array nur 1,3:1.
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Dell PC Lifecycle
Published By: Automation Anywhere     Published Date: Feb 21, 2019
Automation Anywhere’s flagship product is Automation Anywhere Enterprise – a RPA platform offering a variety of tools to help organisations develop, operate and manage RPA bots that automate data entry, data gathering and other repetitive, routine tasks usually carried out as part of high-volume, repetitive work (for example, service fulfilment work in call centres, shared-service centres, and back-office processing environments). Automation Anywhere Enterprise bots can add value both in unattended (server-based, lights-out operation) and attended (desktop-based, interactive) deployment configurations. In this report, MWD Advisors digs deeper into the features and capabilities of Automation Anywhere’s product portfolio, analysing its fast-growth trajectory and highlighting large-scale implementations.
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Automation Anywhere
Published By: Dell EMC     Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data. Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
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Dell EMC
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
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