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Published By: IBM     Published Date: Apr 20, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
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data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
IBM
Published By: IBM     Published Date: May 02, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
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data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
IBM
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: Avalere     Published Date: Apr 02, 2007
Sensitive documents, files and intellectual property are extracted from a central repository such as a database, records management system, or document management system to complete daily tasks, however, extracting this information can lead to a security breach.  Avalere provides the tools you need to control the proliferation of sensitive information throughout your organization.
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security, security management, database admin, dba, records management, database management, document management, data security, document security, avalere
    
Avalere
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: Jun 08, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, linux, windows, telecommunications, healthcare, oracle database
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, enterprise data, windows, linux, telecommunications, healthcare, consumer banking
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, enterprise database, oltp, telecommunications, healthcare, consumer banking
    
IBM
Published By: Oracle Global Marketing     Published Date: Jul 13, 2012
CRN Magazine evaluated the 15 best products of 2011 and named Oracle Database Appliance best Enterprise Appliance of the Year. Read this article for the details.
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oracle, high-end hardware, sun microsystems, database, database management, oracle database appliance, intel xen processors, data management
    
Oracle Global Marketing
Published By: Dell EMC     Published Date: May 15, 2015
This SQL Database focused case study is based on Connections Education, an online US-based education leader. Learn how this online education leader chooses EMC XtremIO to manage unpredictably fast growth.
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emc, storage all-flash, array, architectures, workload, data center, scale, storage, hybrid, xtremio, scalable, development, roi, data management, business technology
    
Dell EMC
Published By: Microsoft Carat APAC     Published Date: Dec 12, 2017
Web apps once thought impossible due to scale, complexity, or because they simply couldn’t be imagined, are now a reality with the cloud. In this guide, we’ve explored the Azure App Service and highlighted Azure’s support for platform as a service (PaaS). We’ve shown you how you can take an existing website backed by a SQL Server database and move it to the cloud. You’ve seen how you can easily add features such as identity management and caching to your web app. You’ve also learned that you can enable rich application monitoring with a few clicks.
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code, business, optimization, scale, support, cloud, paas
    
Microsoft Carat APAC
Published By: NetApp     Published Date: Mar 05, 2018
NetApp® Data Fabric enabled solutions empower organizations to use data to make intelligent decisions about how to optimize their business and get the most out of their IT infrastructure. They provide essential data services for data visibility and insight, data access and control, and data protection and security. 
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: NetApp     Published Date: Mar 05, 2018
Access to comprehensive, up-to-date information about your infrastructure is critical to meeting the challenges of a service-led IT organization. You need visibility into your entire IT infrastructure, including both multi-vendor and multi-cloud environments, so you can make data-driven decisions and improve IT services. Discover how you can manage, monitor, and report on IT services across your entire data infrastructure so you can drive intelligent business decisions and reduce costs.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
Published By: SAS     Published Date: Jan 30, 2019
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
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: Oracle     Published Date: May 08, 2019
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing. This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond. The Intelligent Enterprise Era. Download predictions.
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Oracle
Published By: Caminosoft     Published Date: Aug 21, 2009
Companies today are faced with managing an ever-increasing amount of data. The traditional solution to this problem was to increase the amount of space on a server by adding more hard drives. This strategy would be similar to a person continually building additional rooms onto a house in order to have more space in which to store all his or her belongings, but without any thought as to where items were being stored.
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caminosoft, database management, data center, data management, storage, data warehousing, hsm, netware, windows 2000, windows 2003
    
Caminosoft
Published By: Infosys     Published Date: May 21, 2018
Experimenting faster is a trait shared by most innovative organizations. They want to experiment with new products and promotions to see if they can unearth bold new ways of serving the customer. But this experimentation cannot be random: it needs to be guided by data and based on current customer insight. It was access to this data that was the problem for our client, a large consumer brand. It took a long time to prepare the data to a point where it could be used by business managers. So long, in fact, that the data was no longer relevant; and the moment as often lost. The company needed to be able to experiment faster but was held back by a cumbersome and ineffective analytics infrastructure.
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experiment, organizations, customer, insights, analytics
    
Infosys
Published By: IBM     Published Date: Aug 30, 2010
Vendors in this market have been challenged in their attempts to gain market visibility and awareness for their products and for the benefits they can provide compared with just throwing more hardware at the problem.
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ibm, database application, vendor, data archiving, erp, crm application, customer relationship management
    
IBM
Published By: Data Stax     Published Date: Apr 27, 2012
This paper examines key data management challenges facing modern businesses and explains how DataStax Enterprise provides the first post-relational database solution to handle real-time, analytic, and search data without using RDBMS solutions.
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datastax, data stax, data management, database management, database, enterprise, search data, rdbms, post-relational, enterprise applications
    
Data Stax
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: 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: Datastax     Published Date: Apr 04, 2017
For the new or veteran Database Administrator (DBA): As a DBA, perhaps you’ve seen database engines such as object-oriented and OLAP databases come and go, and you’re wondering why NoSQL should be any different. You may ask questions like: What kinds of administration and management work does NoSQL entail? How are security, backup and recovery, database monitoring and tuning handled? How do I create databases, objects, and read/write data without SQL? Learn what NoSQL is, why it’s needed, and when it’s not.
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dba, nosql, olap, datastax
    
Datastax
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