data types

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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: 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: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional databases and data warehouses are evolving to capture new data types and spread their capabilities in a hybrid cloud architecture, allowing business users to get the same results regardless of where the data resides. The details of the underlying infrastructure become invisible. Self-managing data lakes automate the provisioning, reliability, performance and cost, enabling data access and experimentation.
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AWS - ROI DNA
Published By: Tripp Lite     Published Date: Sep 30, 2015
This white paper: • Explains the staggering growth of digital data volume and the increasing demand for faster access • Examines the different types of data transmission • Outlines the two potential solutions for connecting 10Gb equipment with higher-speed equipment
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equipment, higher-speed, data transmission, infrastructure, volume, integrate, network, speed
    
Tripp Lite
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
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DataStax
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
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Datastax
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: 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: 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: IBM     Published Date: Nov 09, 2015
IBM believes the Data Warehouse market continues to expand and adapt to address new requirements for user self-service, increased agility, requirements for new data types, lower cost solutions, adoption of open source, driving better business insight, and faster time to value.
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ibm, data, magic quadrant, data management, analytics
    
IBM
Published By: Canon     Published Date: Oct 09, 2019
THE NOTIFIABLE DATA BREACHES (NDB) SCHEME came into effect on Feb 22nd 2018 making it obligatory for every organisation covered by the Australian Privacy Act to notify the Australian government of certain security breaches. The 2019 Canon Security Report is a guide to understanding which organisations are affected by this policy, the types of security breaches that require notification and what your organisation can do to help mitigate the risk of such breaches happening in the first place. Download this handy guide and protect your business from the business costs and legal ramifications of security breaches.
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Canon
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: 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: Vertica     Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
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vertica, analytical computing, adbms, mapreduce, application management, data management, data mining
    
Vertica
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: 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: Oracle     Published Date: Oct 20, 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: 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: Workday UK     Published Date: Jan 31, 2019
People analytics is increasingly on the agenda for organisations. With the rise of workplace technology allowing leaders to track employees’ performance, productivity and wellbeing, we partnered with the CIPD to survey over 3,000 business professionals to understand how people analytics is being used. And the results are in, 65% of respondents who work in an organisation with a strong people analytics culture, say their business performance is strong compared to competitors. As well as outlining the key opportunities leaders can capitalise on, this report covers: • How different professions are using people data • The various types of people data that are being used • How people analytics adds value to organisations • What the future holds for people data
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workday, workforce technology, digital strategy
    
Workday UK
Published By: Workday Italy     Published Date: Sep 19, 2018
People analytics is increasingly on the agenda for organisations. With the rise of workplace technology allowing leaders to track employees’ performance, productivity and wellbeing, we partnered with the CIPD to survey over 3,000 business professionals to understand how people analytics is being used. And the results are in. 65% of respondents who work in an organisation with a strong people analytics culture, say their business performance is strong compared to competitors. As well as outlining the key opportunities leaders can capitalise on, this report covers: - How different professions are using people data - The various types of people data that are being used - How people analytics adds value to organisations - What the future holds for people data
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Workday Italy
Published By: Workday Spain     Published Date: Sep 19, 2018
People analytics is increasingly on the agenda for organisations. With the rise of workplace technology allowing leaders to track employees’ performance, productivity and wellbeing, we partnered with the CIPD to survey over 3,000 business professionals to understand how people analytics is being used. And the results are in. 65% of respondents who work in an organisation with a strong people analytics culture, say their business performance is strong compared to competitors. As well as outlining the key opportunities leaders can capitalise on, this report covers: - How different professions are using people data - The various types of people data that are being used - How people analytics adds value to organisations - What the future holds for people data
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Workday Spain
Published By: AlienVault     Published Date: Mar 30, 2016
Given that Point of Sale (POS) systems are used to transmit debit and credit card information in retail transactions, it's no wonder they are a desirable target for attackers. In this white paper, you'll learn about some of the common types of POS malware, how they work and best practices for protecting cardholder data. Topics covered in this white paper include: • Common types of POS malware and how they work • How attackers exfiltrate data from POS systems once they gain access • POS security techniques to protect payment card data Download your copy today to learn how to effectively detect and respond to POS malware threats.
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AlienVault
Published By: Schneider Electric     Published Date: May 09, 2016
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices. This white paper describes the types of PM services that can help safeguard the uptime of data centers and IT equipment rooms. Various PM methodologies and approaches are discussed. Recommended practices are suggested.
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schneider electric, edge computing, data center, energy efficiency, data center energy, preventive maintenance, tool for controlling, tco
    
Schneider Electric
Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel
Published By: SAS     Published Date: Jun 05, 2017
From cars to factories to cities, many governments are already collecting information from citizens and connected devices that send and receive data over the internet of things (IoT). While analysts expect the IoT to soar to tens of billions of devices by 2020, no one knows how many or what new types of intelligent devices will emerge. But we do know that traditional approaches to data management and analytics may not be sufficient for sustaining value in this new, connected world
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SAS
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