data management

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Published By: Symantec.cloud     Published Date: Sep 12, 2012
In this e-book, you'll learn how to protect your valuable assets without the expense or time commitment of building a full IT infrastructure.
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database security, data management, data and security, smb, cloud based security, security, business technology, data center
    
Symantec.cloud
Published By: Syncsort     Published Date: Feb 21, 2019
With data lakes offering the means to capture, store and utilize a broad array of internal, third party and external data from a variety of sources, organizations of all types are ready to gain greater and better insights. While this promise of Big Data and improved visibility is substantial, data is pretty much useless if it can’t be trusted. The only way to be certain that your data governance policies are consistently followed and enforced is to ensure data quality across your IT systems. Download this white paper with Information Management, Discover the Value of Data Quality for Data Governance Success, to learn more about empowering your data governance program with quality data.
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Syncsort
Published By: Systemware     Published Date: Sep 07, 2018
Five key trends are shaping the enterprise content management (ECM) space. New business objectives, new market imperatives, and new cloud-based platforms compel technology and business decision makers to take a fresh look at their strategy and underlying platforms. This report will help enterprise architecture (EA) professionals make informed decisions about their content management agenda.
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systemware, content management, digital transformation, content cloud, top key trends, intelligent information, data storage, enterprise content management, it management, content services, enterprise architecture
    
Systemware
Published By: Systemware     Published Date: Sep 07, 2018
How’s your digital transformation going? What processes are you focusing on? Who’s leading the transformation? What technologies are a priority? What challenges do you face? To answer these questions, tap into the Forrester Data Global Business Technographics® Business And Technology Services Survey of your peers. Digital business pros should open this infographic to see the state of digital transformation.
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systemware, content management, digital transformation, content cloud, top key trends, intelligent information, data storage, enterprise content management, it management, content services, enterprise architecture
    
Systemware
Published By: T2 Tech Group     Published Date: May 09, 2018
Download this white paper to learn a method to group applications and prepare for an application migration.
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application migration, migration, data center management, applications, application management, healthcare applications, healthcare cloud, data integration, cloud computing
    
T2 Tech Group
Published By: Tableau     Published Date: Apr 13, 2018
In this whitepaper, discover the benefits of expanding your analytics toolkit. Combine Excel’s data collection and management capabilities with Tableau’s intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet. Read more at about this partnership.
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Tableau
Published By: Tableau Software     Published Date: Dec 12, 2014
A new generation of business intelligence emerges as the expectation for user-friendly analytics and the expertise to ask and answer questions with data continues to grow. The wave of innovation is far from over. This paper highlights the top trends in business intelligence for 2015.
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tableau, business intelligence, business management, data management, analytics, top trends, data governance, data journalism, the cloud, cloud data
    
Tableau Software
Published By: Tableau Software     Published Date: Dec 12, 2014
Get started by creating the best type of chart for your data and questions. From there, you’ll quickly find you’re not only answering your initial questions, but telling amazing stories with your data.
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tableau, charts, business charts, data management, data charts, graphs, data analytics, data
    
Tableau Software
Published By: Tableau Software     Published Date: Dec 12, 2014
Congratulations: you are part of a small but growing group that’s taking advantage of the power of visualization. However, bringing your visualizations from “good” to “great” takes time, patience, attention to detail, and some basic knowledge of visual analysis best practices.
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tableau, visual analysis, visualization, best practices, data management, analytical applications
    
Tableau Software
Published By: Tail-f Systems     Published Date: Sep 16, 2008
This whitepaper describes how NETCONF and YANG can help drastically simplify network configuration management. The IETF has recently standardized the NETCONF configuration management protocol and is currently in the process of standardizing a NETCONF-oriented data modeling language called YANG. These two new technologies promise to drastically simplify network configuration management.
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configuration management, netconf, yang, next-generation network management, next-generation networks, netconf protocol, tail-f, tailf
    
Tail-f Systems
Published By: Tamr, Inc.     Published Date: Feb 08, 2019
Traditional data management practices, such as master data management (MDM), have been around for decades – as have the approaches vendors take in developing these capabilities. And they were well-equipped for the problem at hand: managing data at modest size and complexity. However, as enterprises mature and start to view their data assets as a source of competitive advantage, new methods to managing enterprise data become desirable. Enterprises now need approaches to data management that can solve critical issues around speed and scale in an increasingly complex data environment. This paper explores how data curation technology can be used to solve data mastering challenges at scale.
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Tamr, Inc.
Published By: TD Bank Group     Published Date: Aug 10, 2018
This paper examines whether blockchain distributed ledger technology could improve the management of trusted information, specifically considering data quality. Improvement was determined by considering the impact of a distributed ledger as an authoritative source in TD Bank Group's Enterprise Data Quality Management Process versus the use of standard authoritative sources such as databases and files. Distributed ledger technology is not expected, or proven, to result in a change in the Data Quality Management process. Our analysis focused on execution advantages possible due to distributed ledger properties that make it an attractive resource for data quality management (DQM).
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TD Bank Group
Published By: Tealium     Published Date: Mar 12, 2014
In this paper, Web Analytics Demystified presents an approach towards big data that has the potential to simplify the quest for “whole customer” data and improve your company’s odds of success.
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tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, marketing, marketing optimization, web analytics, analytical applications, business intelligence, business technology
    
Tealium
Published By: Tealium     Published Date: Mar 12, 2014
“The Rise of Data Activism: How Digital Data Distribution Platforms (D3P) Enable Marketers to Act on Their Data” discusses how marketers can solve the optimization gap and leverage new solutions to take action on their most actionable audience segments in real time.
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tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, digital data distribution platform, d3p, marketing, data, data activism, data consolidation, digital marketing, analytical applications
    
Tealium
Published By: TeamQuest     Published Date: Nov 13, 2014
Learn how to drive success with business metrics, data, and automated forecasting and see how you can increase staff productivity and free up time for other projects.
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teamquest, enterprise rent-a-car, business metrics, data, automated forecasting, capacity management, service optimization, itso, it analytics, show back, charge back, virtualized it, data management, business technology
    
TeamQuest
Published By: Ted Hills     Published Date: Mar 29, 2016
NoSQL database management systems give us the opportunity to store our data according to more than one data storage model, but our entity-relationship data modeling notations are stuck in SQL land. Is there any need to model schema-less databases, and is it even possible? In this short white paper, Ted Hills examines these questions in light of a recent paper from MarkLogic on the hybrid data model. Ted Hills has been active in the Information Technology industry since 1975. At LexisNexis, Ted co-leads the work of establishing enterprise data architecture standards and governance processes, working with data models and business and data definitions for both structured and unstructured data. His book, NoSQL and SQL Data Modeling, was recently released by Technics Publications (http://technicspub.com).
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Ted Hills
Published By: Ted Hills     Published Date: Mar 08, 2017
NoSQL database management systems give us the opportunity to store our data according to more than one data storage model, but our entity-relationship data modeling notations are stuck in SQL land. Is there any need to model schema-less databases, and is it even possible? In this short white paper, Ted Hills examines these questions in light of a recent paper from MarkLogic on the hybrid data model.
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Ted Hills
Published By: Ted Hills     Published Date: Mar 08, 2017
Ever since Codd introduced so-called “null values” to the relational model, there have been debates about exactly what they mean and their proper handling in relational databases. In this paper I examine the meaning of tuples and relations containing “null values”. For the type of “null value” representing unknown data, I propose an interpretation and a solution that is more rigorously defined than the SQL NULL or other similar solutions, and which can be implemented in a systematic and application-independent manner in database management systems.
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Ted Hills
Published By: Ted Hills     Published Date: Mar 08, 2017
Ever since Codd introduced so-called “null values” to the relational model, there have been debates about exactly what they mean and their proper handling in relational databases. In this paper I examine the meaning of tuples and relations containing “null values”. For the type of “null value” representing that data are not applicable, I propose an interpretation and a solution that is more rigorously defined than the SQL NULL or other similar solutions, and which can be implemented in a systematic and application-independent manner in database management systems.
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Ted Hills
Published By: Tenable     Published Date: Feb 05, 2018
"This IDC Technology Spotlight examines the evolution of vulnerability management. By leveraging the cloud and new technologies that deliver greater visibility, organizations can gain an accurate picture of their assets and overall risk posture. This is a critical step toward addressing the current landscape where attackers are using a wide variety of vectors such as mobile, social, and cloud-based attacks to infiltrate organizations and steal data. By reading this report you will get an overview of: - Benefits of cloud-based security and vulnerability management - Challenges of adopting cloud-based vulnerability management - IDC assessment of Tenable.io cloud vulnerability management"
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vulnerability management, analyst report, idc
    
Tenable
Published By: Tenable     Published Date: Feb 07, 2018
"This IDC Technology Spotlight examines the evolution of vulnerability management. By leveraging the cloud and new technologies that deliver greater visibility, organizations can gain an accurate picture of their assets and overall risk posture. This is a critical step toward addressing the current landscape where attackers are using a wide variety of vectors such as mobile, social, and cloud-based attacks to infiltrate organizations and steal data. By reading this report you will get an overview of: - Benefits of cloud-based security and vulnerability management - Challenges of adopting cloud-based vulnerability management - IDC assessment of Tenable.io cloud vulnerability management"
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Tenable
Published By: TeraCloud     Published Date: Dec 11, 2007
Storage spawns where it is needed. This leaves IT to manage many islands of storage devices scattered across the enterprise. Compliance requirements, multimedia-rich applications, unstructured content and a proliferation of databases are pushing IT departments to increase the size and complexity of their storage networks. All of this is occurring at a time when the need for centralized storage management has never been greater.
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storage, storage management, infrastructure, compliance, tsa, teracloud, teracloud storage analytics, san, storage area networks
    
TeraCloud
Published By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
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data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management, data center
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Hadoop is the rising star of the business technology agenda for a simple reason — it disrupts the economics of data, analytics, and someday soon, all enterprise applications; it is secretly becoming an application platform too. Application development and delivery (AD&D) professionals should be aware of and take action on these eight predictions, including the disruptive power of “Hadooponomics,” Hadoop’s current killer app, the closing data management gap, and the emergence of brand new distros.
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hadoop, hadoop adoption, cornerstone, business technology, hadooponomics, enterprise adoption, applications, data management
    
Teradata
Published By: Teradata     Published Date: May 01, 2015
Creating value in your enterprise undoubtedly creates competitive advantage. Making sense of the data that is pouring into the data lake, accelerating the value of the data, and being able to manage that data effectively is a game-changer. Michael Lang explores how to achieve this success in “Data Preparation in the Hadoop Data Lake.” Enterprises experiencing success with data preparation acknowledge its three essential competencies: structuring, exploring, and transforming. Teradata Loom offers a new approach by enabling enterprises to get value from the data lake with an interactive method for preparing big data incrementally and iteratively. As the first complete data management solution for Hadoop, Teradata Loom enables enterprises to benefit from better and faster insights from a continuous data science workflow, improving productivity and business value. To learn more about how Teradata Loom can help improve productivity in the Hadoop Data Lake, download this report now.
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data management, productivity, hadoop, interactive, enterprise, enterprise applications
    
Teradata
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