data types

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Published By: NetApp     Published Date: Mar 05, 2018
New innovations in storage technology are changing the game for data centers, and NetApp is working to help our customers capitalize on them. The introduction of faster and faster media types and more efficient mechanisms to access those media across well-defined SAN and Ethernet infrastructures will unlock unprecedented speeds, lower latencies, and dramatic improvements in system and application efficiency.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Dell EMC     Published Date: Aug 22, 2017
Identifying the benefits, costs, and risks associated with an Isilon implementation, Forrester interviewed several customers with experience using Isilon. Dell EMC Isilon is a scale-out NAS platform that enables organizations to store, manage, and analyze unstructured data. Isilon clusters are composed of different node types that can scale up to 68 petabytes (PB) in a single cluster while maintaining management simplicity. Isilon clusters can also scale to edge locations and the cloud
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Dell EMC
Published By: Brother     Published Date: Mar 08, 2018
Documents are an integral component to the successful operation of an organization. Whether in hardcopy or digital form, they enable the communication, transaction, and recording of business-critical information. To ensure documents are used effectively, organizations are encouraged to continually evaluate and improve surrounding workflows. This may involve automating elements of document creation, securing the transfer and storage of information, and/or simplifying the retrieval of records and the data contained within. These types of enhancements can save time, money, and frustration. This white paper will discuss top trends and requirements in the optimization of document-related business processes as well as general technology infrastructures for document management. It will also address how some office technology vendors have reacted to these trends to guide their design and development of products, solutions, and services.
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documents, workflows, business process, document management
    
Brother
Published By: Carbonite     Published Date: Oct 05, 2017
Data protection often seems like a clash between competing interests: the need to protect data, against the need to protect access to data. The challenge lies in deploying the right protection across the different systems and types of data, since they each require different forms of protection. IT pros need confidence that the protection they deploy can: •Ensure long-term survivability of historical data •Deliver data securely to different waypoints. •Extend protection as environments change.
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data protection, data security, carbonite, data recovery, data resiliency, data backup
    
Carbonite
Published By: Datastax     Published Date: Dec 27, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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Datastax
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms
    
Splunk
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published By: Pure Storage     Published Date: Oct 09, 2017
Storing data is critical. Everyone stores data. Today, it’s all about how you use the data you’re storing and if you’re storing the right data. The right mix of data and the ability to analyze it against all data types is driving markets worldwide in what is known as digital transformation. Digital transformation requires storing, accessing, and analyzing all types of data as fast and efficiently as possible. The end goal is to derive insights and gain a competitive advantage by using those insights to move faster and deliver smarter products and services than your competition.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Pure Storage
Published By: Carbonite     Published Date: Jan 04, 2018
Data protection often seems like a clash between competing interests: the need to protect data, against the need to protect access to data. The challenge lies in deploying the right protection across the different systems and types of data, since they each require different forms of protection.
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Carbonite
Published By: IBM     Published Date: Apr 14, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Just a few years ago, many organizations turned to private cloud environments to help increase flexibility and control costs—largely because of the immaturity and lack of control within the public cloud environments then available. Today, however, the decision to “go cloud” is less of a binary, and more of a spectrum of choices, spanning different deployment models (public, private and hybrid) and service types, including IaaS, PaaS and SaaS.
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cloud, data protection, security, deployment methods, service types
    
IBM
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
    
EMC Corporation
Published By: Oracle     Published Date: Mar 09, 2017
In this white paper, IDC discusses the inherent difficulties associated with traditional backup schemes and the changing dynamics of data protection strategies. We examine Oracle's Zero Data Loss Recovery Appliance (ZDLRA) and the role it can play in providing significantly improved service levels for all types of Oracle databases.
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Oracle
Published By: ClearStory     Published Date: Oct 07, 2014
Why be bogged down by different analysis solutions for different data types and sources, when a single solution can give you direct access and blending, of all your data, wherever it is? Get the paper and find out more.
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data harmonization, analysis solutions, data types, collaboration
    
ClearStory
Published By: Carbonite     Published Date: Oct 10, 2018
Data protection is a balancing act between the need to protect data and the need to protect access to data. The trick lies with deploying the right protection across the different systems and types of data, since they each require different forms of protection.
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Carbonite
Published By: Schneider Electric     Published Date: Feb 12, 2018
Internet use is trending towards bandwidth-intensive content and an increasing number of attached “things”. At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow, computing power and storage is being inserted out on the network edge in order to lower data transport time and increase availability. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. This white paper explains the drivers of edge computing and explores the various types of edge computing available.
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Schneider Electric
Published By: Schneider Electric     Published Date: Feb 12, 2018
Many of the mysteries of equipment failure, downtime, software and data corruption, are the result of a problematic supply of power. There is also a common problem with describing power problems in a standard way. This white paper will describe the most common types of power disturbances, what can cause them, what they can do to your critical equipment, and how to safeguard your equipment, using the IEEE standards for describing power quality problems.
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Schneider Electric
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
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IBM APAC
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: Nice Systems     Published Date: Feb 26, 2019
NICE WFM 7.0’s Forecaster unlocks a high level of transparency into interaction history, allowing you to centrally forecast, schedule and manage contacts between multiple locations and ensure that site- and enterpriselevel objectives are met. With more than two thousand customers and two million users depending on its unparalleled ability to fine-tune the most precise forecasts, Forecaster allows you to plan and respond to the peaks and valleys of customer history through automatic collection of key historical data from all types of contact sources: • Automatic call distributors (ACDs) • Outbound dialers • Multi-channel routing platforms • Back-office employee desktops Download today to learn more.
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Nice Systems
Published By: IBM     Published Date: Jan 27, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
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IBM
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
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unified data architecture, big data, analytics, finance
    
Teradata
Published By: Cox Business     Published Date: May 31, 2017
For cybersecurity professionals, 2016 presented a year of distributed denial of service (DDoS) attacks that were unprecedented. Week after week, the public was inundated with news of hacks, attacks, and data leaks. It didn’t take long for everybody to realize the old axiom of cybersecurity still holds true - there are two types of companies: those who are hacked and know about it, and those who are hacked and soon will find out. As a key player in the war against DDoS attacks, Neustar has been on the front line, detecting, alerting, and mitigating strikes to keep companies and their customers safe.
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Cox Business
Published By: DataStax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
Tags : 
    
DataStax
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