data warehousing

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Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
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ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities, information on demand framework, ibm db2 warehouse, ibm master data management server, ibm omnifind, ibm industry data models, ibm balanced warehouses, oltp-based transactional data
    
IBM
Published By: IBM     Published Date: Oct 14, 2009
Discover the unique support for data warehousing and business intelligence offered by the IBM DB2 portfolio. This white paper shows how an IBM System z server, integrated with the IBM DB2 family of solutions, can help you meet requirements for data warehousing and business intelligence.
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data warehousing, ibm, business intelligence, total cost of ownership, tco, integrated facility for linux, eal5, workload consolidation, scalability, disaster recovery, workload management, operational data stores
    
IBM
Published By: IBM     Published Date: Nov 09, 2012
The objective of this paper is to give you an update on the latest functions, features and benefits of IBM DB2 for z/OS. This paper also features an introduction to DB2 10 by Roger Miller, which highlights the main functions, features and more.
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performance availability, application enablement, data warehousing, tco, total cost of ownership, business analytics, data management, business technology
    
IBM
Published By: Intel     Published Date: Aug 10, 2012
Watch this McAfee ePO Deep Command* animation to see security management beyond the operating system, Intel® AMT to optimize security and reduce costs.
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enterprise security, it management, it managers, mcafee, data center, data management, animation, security, data security, data warehousing, business technology
    
Intel
Published By: Teradata     Published Date: Jan 22, 2014
Today's agile businesses are seeking to expand analytics fast, gain flexible analytic deployment options and smooth cash flows. Download this paper to learn how Teradata understands these needs and has engineered a cloud solution that meets organizations' analytic needs.
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cloud analytics, hadoop, analytics, cloud-based analytics, data warehousing, discovery capabilities, data management
    
Teradata
Published By: SnapLogic     Published Date: Sep 03, 2015
Learn how SnapLogic and Amazon Web Services helped Earth Networks create a responsive, self-service cloud for data integration, preparation and analytics.
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data management, self-service clouding, data integration, data analytics, data storage, data encryption, data warehousing, database services, ssd storage
    
SnapLogic
Published By: Oco, Inc.     Published Date: Apr 18, 2008
The business intelligence (BI) “boom” of the 1990s was something BIG: big projects designed to give big companies with big budgets a competitive advantage. And while BI delivered big returns for some companies, for others it was nothing but a big headache. An estimated 50% of all data warehousing projects failed to meet their goals. Why? Because many companies underestimated just how big an undertaking BI really was.
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oco, business intelligence, software as a service, saas, business intelligence, bi applications, business intelligence applications, roi, tco, return on investment, total cost of ownership, small business, soho, scalability, oco
    
Oco, Inc.
Published By: Texas Memory Systems     Published Date: Feb 25, 2012
With flash based systems now commonly in the TBs of capacity and rapidly becoming more affordable, it may be time to look at using solid state storage with high bandwidth applications. Read this white paper to find out more.
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solid state storage, bandwidth, high bandwidth, applications, data warehousing, tbs, tb capacity, storage, ramsan, texas memory systems, high availability, performance, solid state, enterprise, racks, data storage, digital signal, low latency, enterprise data storage, ssds
    
Texas Memory Systems
Published By: Texas Memory Systems     Published Date: Feb 25, 2012
Most companies have only put limited effort toward the system architecture that surrounds the flash memory modules. In this white paper, Storage Switzerland focuses on the importance of architecture design in solid state storage systems.
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ssd, architecture, design, zero-latency, retrieval, solid state storage, bandwidth, high bandwidth, flash controllers, applications, data warehousing, tbs, tb capacity, storage, ramsan, texas memory systems, high availability, performance, solid state, enterprise
    
Texas Memory Systems
Published By: Texas Memory Systems     Published Date: Feb 25, 2012
It is common knowledge that PCIe SSD is faster, right? Maybe not, says George Crump from Storage Switzerland. Read on to find out why.
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pcie, pcie ssd, ssd, architecture, design, zero-latency, retrieval, solid state storage, bandwidth, high bandwidth, flash controllers, applications, data warehousing, tbs, tb capacity, storage, ramsan, texas memory systems, high availability, performance
    
Texas Memory Systems
Published By: Texas Memory Systems     Published Date: Feb 25, 2012
In this part II of Enhancing Server And Desktop Virtualization With SSD, Storage Switzerland focuses on the next challenge of integrating SSD into a virtual server or desktop infrastructure and effectively using the technology in this environment.
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integrated ssd, ssd, virtual server, infrastructure, desktop infrastructure, server virtualization, desktop virtualization, architecture, design, zero-latency, retrieval, solid state storage, bandwidth, high bandwidth, flash controllers, applications, data warehousing, tbs, tb capacity, storage
    
Texas Memory Systems
Published By: Texas Memory Systems     Published Date: Feb 25, 2012
For data centers looking to get the maximum performance from Flash-based storage supporting their virtual infrastructure, the RamSan-720 should be given strong consideration.
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ramsan-720, integrated ssd, ssd, virtual server, infrastructure, desktop infrastructure, server virtualization, desktop virtualization, architecture, design, zero-latency, retrieval, solid state storage, bandwidth, high bandwidth, flash controllers, applications, data warehousing, tbs, tb capacity
    
Texas Memory Systems
Published By: Texas Memory Systems     Published Date: Feb 25, 2012
In this final piece on server virtualization and SSD, Storage Switzerland discusses the power of performance, specifically, the dramatic impact that latent-free storage can make on the virtual environment. Read on to find out more!
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desktop virtualization, architecture, design, zero-latency, retrieval, solid state storage, bandwidth, high bandwidth, flash controllers, applications, data warehousing, tbs, tb capacity, storage, ramsan, texas memory systems, high availability, performance, solid state, enterprise
    
Texas Memory Systems
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: Snowflake     Published Date: Apr 14, 2015
Read about what makes data warehousing as a service different from traditional data warehousing–it’s more than just a data warehouse in the cloud.
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snowflake, data warehousing, cloud computing, best practices, data processing, saas
    
Snowflake
Published By: Snowflake     Published Date: Apr 14, 2015
Six things that are critical to evaluate for data warehousing in the cloud.
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snowflake, data warehousing, cloud computing, best practices, data processing
    
Snowflake
Published By: SAP     Published Date: Jan 28, 2009
This paper reviews the current status of MDM, and offers suggestions for planning, building and deploying an MDM environment.
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sap, master data management, mdm, business intelligence, data warehousing, sor, system of record, enterprise mdm, mds, mms, data management
    
SAP
Published By: SAP     Published Date: Jun 23, 2009
Discover the importance of data integration in your environment, and learn about the key challenges, benefits, and approaches to integrating data.
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business intelligence, data integration, sap, businessobjects, data warehousing, sarbanes-oxley, data consolidation, data marts, enterprise information integration, eii, enterprise-class, operational data stores, operational systems, master data management, mdm, data transformations, data management
    
SAP
Published By: SAP     Published Date: Jan 21, 2010
The goal of this article will be to contribute to the emerging dialog on the subject of business value by extrapolating from BI lessons learned and from DecisionPath Consultings experience working with Fortune 1000 customers and Government agencies.
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sap, business intelligence, data warehousing, enterprise application, erp, scm, crm, manufacturing, process engineering, readiness assessment, roi analysis, business value delivery
    
SAP
Published By: Oracle Corporation     Published Date: Mar 03, 2011
This white paper discusses how by designing these three corner stones correctly, you can seamlessly scale out your EDW without having to constantly tune or tweak the system.
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datawarehousing, system management, oracle
    
Oracle Corporation
Published By: IBM     Published Date: Apr 16, 2014
Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities
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ibm, data warehouse, warehouse environment, speed, simplicity, affordibility, db2 with blu, acceleration, data warehousing, data system, data storage, infrastructure
    
IBM
Published By: IBM     Published Date: Nov 16, 2015
The market offers an array of choices to organizations planning new data warehouses to manage large and varied data sets. Most vendors emphasize the speed of their products, but few address the real need: to increase speed efficiently, which reduces complexity and cost by simplifying data warehousing.
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ibm, organization, puredata, analytics, research, data warehouse, knowledge management, data management, business technology
    
IBM
Published By: IBM     Published Date: Jan 13, 2016
By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.
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ibm, data, infosphere, server, data warehousing, data management, business technology
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.
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ibm, big data, ibm infosphere, information empowerment, data integration, data management
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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data, enterprise resource planning, customer relationship management, business intelligence, data management systems
    
IBM
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