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data management software

Results 101 - 125 of 170Sort Results By: Published Date | Title | Company Name
Published By: Sybase     Published Date: Oct 18, 2011
Download this document for an overview of some of these capabilities and the benefits customers can expect from moving to ASE 15.7.
Tags : 
enterprise mobility, enterprise mobility software, enterprise mobility solutions, enterprise mobility systems, capital markets, capital markets solutions, capital markets analytics, business intelligence
    
Sybase
Published By: Sybase     Published Date: Oct 18, 2011
Watch this webinar for an overview of some of the benefits customers can expect from moving to ASE 15.7.
Tags : 
enterprise mobility, enterprise mobility software, enterprise mobility solutions, enterprise mobility systems, capital markets, capital markets solutions, capital markets analytics, business intelligence
    
Sybase
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: SAP     Published Date: Feb 21, 2008
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
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sap, data architect, data migration, business objects, information management software, bloor, sap r/3, application
    
SAP
Published By: SAP     Published Date: Nov 22, 2011
Newell Rubbermaid sought to reduce time and effort to access information. They wanted to simplify access to global sales data and financial metrics. They also wanted to accelerate report query performance and improve decision making. SAP was selected because they are a comprehensive software program from a single vendor. Read to find out more.
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sap, newell rubbermaid, data access, information management, technology, software, whitepaper, sales data
    
SAP
Published By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
Published By: Schneider Electric     Published Date: Jun 04, 2014
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This paper demonstrates, through a series of examples, how data center infrastructure management software tools can simplify operational processes, cut costs, and speed up information delivery.
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schneider, electric, data, infrastructure, convert data, business value, it management, data center
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 04, 2014
While many who invest in Data Center Infrastructure Management (DCIM) software benefit greatly, some do not. Research has revealed a number of pitfalls that end users should avoid when evaluating and implementing DCIM solutions. Choosing an inappropriate solution, relying on inadequate processes, and a lack of commitment / ownership / knowledge can each undermine a chosen toolset’s ability to deliver the value it was designed to provide. This paper describes these common pitfalls and provides practical guidance on how to avoid them.
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schneider, electric, dcim, solution, invest, infrastructure, management, software
    
Schneider Electric
Published By: Melissa Data Corp.     Published Date: Nov 18, 2008
This white paper describes the seven steps you need to develop a plan for data quality – one that scales to your growing business needs.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software
    
Melissa Data Corp.
Published By: Melissa Data Corp.     Published Date: Nov 18, 2008
What are the long-term costs of bad data? This white paper gives you the answers and tells you how to fix it.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software
    
Melissa Data Corp.
Published By: SAS     Published Date: Sep 13, 2013
Effective, Unified Data Management Strategies Depend on it and Business users Working Together.
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sas, data management, unified approach, unified data management, business intelligence, business analytics software, software development, it management
    
SAS
Published By: Splunk     Published Date: Apr 16, 2012
Discover a unique approach to handling large, semi-structured or unstructured time-series data. Splunk can be deployed in a matter of days to provide rapid cross-correlation between different data types-giving you unprecedented operational visibility.
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splunk, data, analyzying, decision making, ime-series data, log management, log management software, manage logs
    
Splunk
Published By: Splunk     Published Date: Apr 16, 2012
This analyst ROI case study reveals how Ongame, a leading online gaming platform, used Splunk to gain greater visibility and efficiency from their application production process. Discover how Ongame improved DevOps collaboration and reduced downtime.
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splunk, ongame, gaming, gaming platform, devops, collaboration, downtime, efficiency
    
Splunk
Published By: Splunk     Published Date: Apr 16, 2012
Using Splunk, Cricket was able to identify system degradation and failures, even in the application area of Cricket's highly-automated and virtualized environment. Read about Cricket's impressive hard and soft ROI.
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splunk, cricket communications, virtualization, automation, customer behavior, data, analyzying, decision making
    
Splunk
Published By: Splunk     Published Date: Apr 16, 2012
Read how Splunk enabled WhitePages, the largest on-line directory of people and businesses, to protect the site's content and the brand by monitoring abusive site traffic and learn how Splunk's in-house search eliminated a data warehouse investment.
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splunk, whitepages, traffic, warehouse, data warehouse, directory, investment, threats data
    
Splunk
Published By: IBM     Published Date: Oct 01, 2014
Read this Gartner Report: Gartner Magic Quadrant for Customer Master Data This Gartner's Magic Quadrant offer insight into the part of the packaged MDM solution market that focuses on how organizations master and share a ""single version"" of customer data
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data management, customer data solutions, mdm, software products, it management
    
IBM
Published By: Sybase     Published Date: May 10, 2012
This white paper, based on a survey of database professionals, examines the problems facing many large businesses that are attempting to remain agile while dealing with a mountain of data under management.
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adaptive server enterprise, sybase database management system, database management, database management software, database management and software, database management system, database management system software, database management program
    
Sybase
Published By: Sybase     Published Date: May 10, 2012
Sybase's Adaptive Server® Enterprise (ASE) is a high performance relational database management system for mission-critical, data intensive environments that has been meeting these needs for nearly three decades.
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adaptive server enterprise, sybase database management system, database management, database management software, database management and software, database management system, database management system software, database management program
    
Sybase
Published By: Sybase     Published Date: May 10, 2012
Download this white paper for analysis of survey results that compare TCO of Sybase ASE compared to Oracle.
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adaptive server enterprise, sybase database management system, database management, database management software, database management and software, database management system, database management system software, database management program
    
Sybase
Published By: Sybase     Published Date: May 10, 2012
This webcast discusses the technical benefits of Sybase ASE's compression technology. Watch the recording to learn more and to hear about use cases, strategies for data migration and a look at the performance implications.
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adaptive server enterprise, sybase database management system, database management, database management software, database management and software, database management system, database management system software, database management program
    
Sybase
Published By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
Tags : 
    
SAS
Published By: IBM     Published Date: Jan 09, 2014
Simply put, software defined storage is the abstraction of storage services from storage hardware. This term is more than just marketing hype, it’s the logical evolution of storage virtualization from simply being a storage aggregator to the end goal of storage as a service. To achieve this goal, software defined storage needs a platform from which to centralize.
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ibm, storage switzerland, storage platform, sds, software defined storage, data center, storage virtualization, data protection
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, ibm big sql, sql, database management, database management technology, software, tables
    
IBM
Published By: Raritan     Published Date: Jul 30, 2015
Learn more about these trends and how Data Center Infrastructure Management (DCIM) software can help your staff improve productivity, improve awareness of potential issues, and enhance forecasting and decision making.
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raritan, data centers, dcim, infrastructure, network performance management, data center design and management
    
Raritan
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