data base manag

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Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
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ibm, application data, technology, enterprise, database archive
    
IBM
Published By: IBM     Published Date: Sep 22, 2011
This e-book offers tips and solutions to help you optimize infrastructure, boost development productivity and improve database administrator (DBA) efficiency. With intelligent actions and technologies, you can better manage and deliver the information your company needs-along with cost savings, risk reduction and increased performance-to drive smarter business outcomes.
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ibm, data management, dba, productivity, infrastructure, development, productivity
    
IBM
Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
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ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor, business technology
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight, predictive analytics, business technology
    
IBM
Published By: IBM     Published Date: Nov 09, 2012
The objective of this book is to help customers plan their migration strategy effectively and efficiently by providing the right information, facts and guidance. It will ensure you that you will reap the cost savings and benefits of DB2 10.
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db2 10, z/os, ibm, cost savings, business benefits, simplified database management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Apr 26, 2013
In the spring of 2012, IBM launched a comprehensive re-thinking and refresh of its IT Service Management (ITSM) offerings. The IT management products formerly known as Tivoli Service Request Manager, IT Asset Management and Change Configuration Management Database have now been combined into a single product, IBM SmartCloud Control Desk 7.5. The products span advanced support for IT and intelligent asset management, change and configuration management, service request management and service catalog, along with Cloud delivery options and built-in support for automation beyond traditional service desk workflow.
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smartcloud, control, desk, consolidate, advances, services, management
    
IBM
Published By: IBM     Published Date: Mar 22, 2013
Taking a more comprehensive, unified approach to managing data—recovering any data from a single console—can not only reduce your capital and operating costs, but can also provide enhanced application availability for improved IT service levels.
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storage, database, mstorage management, recovery, backup, disaster recovery
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
SAP users have been slow to adopt cloud computing, but IBM PureFlex Systems offer the potential to transform the server, storage and network infrastructures that support SAP enterprise environments and extend management services to non-SAP applications. Read this executive summary to learn how PureFlex Systems can dramatically reduce costs and cycle times.
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ibm, ibm pureflex system, sap, cloud, sap enterprise environments, cloud computing, storage, networking, database management, infastructure, it solutions, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Oct 01, 2013
In-depth Comparison of IBM Smart Analytics System 7700,Teradata Active Enterprise Data Warehouse and Oracle Exadata Database Machine.
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ibm, ibm smart analytics system, ibm smart analytics system 7700, it solutions, data warehouse, database, data management system, data mangementent, enterprise warehouse solutions, warehouse solutions, platforms, data management, business technology
    
IBM
Published By: IBM     Published Date: Oct 31, 2013
Improve customer satisfaction, identify trends and make smarter marketing decisions with IBM Social Media Analytics.
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social media, big data, data-driven marketing, marketing analytics, performance analytics, business analytics, metrics, data, driver-based campaign, campaign optimization, marketing campaign, analytics software, customer experience, c-suite, customer relationship management, crm, facebook, twitter
    
IBM
Published By: IBM     Published Date: Oct 31, 2013
IBM Business Analytics help managers in different areas of the marketing organization do their jobs more effectively. Watch this video to see how: 1. Demand generation managers can target the most profitable customers with the right offer at the right time. 2.Marketing operations managers can review the results of multiple campaigns from a single marketing performance dashboard. 3. Brand managers can blend data from blogs, forums and social websites with CRM data to see how people really regard the company’s brand. Watch this video to see how IBM helps you make smarter marketing decisions, faster.
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roi, return on investment, marketing analytics, performance analytics, business analytics, metrics, data, driver-based campaign, campaign optimization, marketing campaign, analytics software, customer experience, c-suite, customer relationship management, crm, business technology
    
IBM
Published By: IBM     Published Date: Nov 15, 2013
Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors. What is his advice to readers about DB2 BLU? If your upcoming database needs analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, analytics, db2, blu acceleration, acceleration, speed, database, business intelligence, reporting, order of magnitude, data, database management
    
IBM
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, shared storage, storage capacity, centric systems, high performance databases, storage efficiency, range of solutions, vendor options, volume management, software selection, data service, data management, performance loss
    
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, queries, data platform, big sql architecture, programming language, relational database management system, rdbms
    
IBM
Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing, database management, query
    
IBM
Published By: IBM     Published Date: May 02, 2014
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, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, it management
    
IBM
Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management
    
IBM
Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management, data center
    
IBM
Published By: IBM     Published Date: May 28, 2014
The right test data management solution accelerates time to value for business-critical applications and builds relationships and efficiencies across the organization. IBM InfoSphere Optim Test Data Management closes the gap between DBAs and application developers by providing all teams with accurate, appropriately masked and protected data for their work. Developers can confirm that new application functionalities perform as expected. QA staff can validate that the application performs as intended based on the test cases, and that integrations work properly. And business leaders can be more confident that competitive functionality will be delivered on time with less risk.
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ibm, ibm infosphere, ibm optim solutions, ibm test data, test data management, dba, database management, big data, applications, business critical applications, integrations, it management, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
This analyst paper highlights X6 business benefits that include dramatically reduced database cost with X6 deployment, application transparency, and superior price/performance.
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ibm, ibm x6 solutions, enterprise architecture, database management, database cost, application management, application transparency, x6 deployment, servers, x6 server, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
How to create proactive big data security and privacy strategies
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data security, compliance, data protection, data privacy, safeguarding information, database protection, enterprise risk management, vulnerability detection
    
IBM
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