data management

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Published By: SEEBURGER, Inc.     Published Date: Sep 12, 2011
Read the white paper to learn five key ways MFT makes a difference for your business.
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seeburger, mft, security, file transfer, data management, end-to-end insight, compliance, server, end points
    
SEEBURGER, Inc.
Published By: IBM     Published Date: Apr 09, 2015
A number of network security technologies have arisen that claim to be the "next generation" of network defense - but what does this concept actually mean? How is the threat landscape changing the way we think about and deploy network security solutions? Scott Crawford, Managing Research Director, Security and Risk Management at EMA Research provides insight into what we can expect in the area of network security and how to leverage new technologies to meet today's security challenges in light of other considerations such as overall complexity and peformance.
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data security, ibm, risk management, network security, security threat
    
IBM
Published By: Cisco     Published Date: Dec 15, 2010
Understanding frequently encountered data workflow processing pain points and new strategies for addressing them.
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cisco, business intelligence, etl, process management pain point, process management, data workflow, enterprise data delivery, interactive analytic, document management, automation technology
    
Cisco
Published By: Panorama     Published Date: Jan 22, 2014
To help organizations evaluate their Business Intelligence needs, Panorama Software has built a vendor agnostic multi-vendor evaluation work sheet. Organizations can rank as many vendors as they wish in a spread sheet that contains over 150 features. All data is then aggregated into a results sheet, displaying your top options.
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panorama, business intelligence, bi vendors, free tools, bi matrix, intelligence, buyers guide, data management, business analytics
    
Panorama
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management, business intelligence, michael lock, predictive analytics, business insight, business visibility
    
SAS
Published By: IBM     Published Date: Feb 03, 2016
The more real-time and granular your data is, the more responsive and competitive your organization can become.
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ibm, data management, apache, hadoop, analytics
    
IBM
Published By: Cisco     Published Date: Sep 07, 2016
This white paper is a guide to the rapidly evolving fields of big data management and data science.
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Cisco
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Data Stax     Published Date: Apr 27, 2012
This paper examines the growing prevalence of big data across nearly every industry. Download this white paper to find out more!
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datastax, data stax, enterprise, big data, data management
    
Data Stax
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: IBM     Published Date: Apr 01, 2016
Read the eBook to: 1) Expand what you know about Big Data; 2) Learn about the Big Data Zones Model that brings a new approach to managing data, faster to deploy, faster to insights and with less risk; 3) Gain confidence in your Big Data projects and learn about the importance of governance in a Big Data world
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ibm, ibm connect, big data, big data zones model, data management
    
IBM
Published By: Teradata     Published Date: Feb 26, 2013
This survey and research report discusses shifts in the data management landscape and the movement to align data with operational and analytical workloads creating the best possible unified data architecture platform. Read on to learn more.
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big data, survey report, data management, landscape, movement, align data, operational and analytics workloads, business intelligence, terdata
    
Teradata
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: IBM     Published Date: Jan 14, 2015
Big data has been big news in recent years. Organizations recognize that they must now begin to focus on using big data technologies to solve business problems. The pressure is on for organizations to move past the discussion phase toward well-planned projects.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics
    
IBM
Published By: SAP     Published Date: May 18, 2014
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: CEB     Published Date: Nov 21, 2013
How do you know if your organization has the talent it needs to execute on its strategy? Is your organization’s talent ready to perform in the new work environment? Are your talent development programs focused on the right people?
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ceb, big data, big data intent, global workforce, organisational talent, business objectives, productivity, innovation, talent management, workforce skills, data-based analysis, future leaders, organisational risk, global skills, landscape of diversity, global availability
    
CEB
Published By: TIBCO     Published Date: Apr 08, 2013
As the volume of available data increases, and we have new ways of extracting insights from data, it is valuable to take a step back and examine the impact of these insights on integration and company actions. Join us for this webinar and learn how you can use big data in your organization.
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
Published By: IBM     Published Date: Aug 20, 2015
Understand the traits of successful performers and potential top talent. Using big data to uncover those traits reveals something surprising.
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big data, talent management, ibm recruitment, behavioral insights, potential top talent, impactful management, unique individual characteristics, human resources
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics
    
IBM
Published By: LogLogic     Published Date: Mar 15, 2012
"Big Data" is the latest buzzword, yet over 70% of companies don't know what Big Data means and how to solve the data management challenges, finds LogLogic survey.
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log management, siem, big data, storage, sem, pci compliance, it operations, data storage, data forensics, security intelligence, splunk, rsa envision, logrhythm, arcsight, compliance, hipaa, nitro security, q1 labs, security event management, syslog
    
LogLogic
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