large database

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Published By: Silverpop     Published Date: Jun 15, 2012
If your contact base doesn't continue to grow, how can you expect your business to grow? Learn how you can help expand your company's marketing database with ideas for collecting data on-site, tapping social media, driving opt-ins via transactional emails and more.
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marketing database, silverpop, marketing, marketing campaigns, reach, customers
    
Silverpop
Published By: NAVEX Global     Published Date: May 06, 2016
This report outlines Data & Analysis to Help You Benchmark Your Programme Against the World痴 Largest Ethics & Compliance Hotline Database預nd Enhance Your Ethics & Compliance Programme Effectiveness.
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data analysis, benchmarking
    
NAVEX Global
Published By: NAVEX Global     Published Date: Apr 06, 2016
This annual report is an excellent starting point for organisations committed to benchmarking and improving programme effectiveness.
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ethics, ethics and compliance, human resources, database, hotline reporting, navex, large database, benchmark database, database development
    
NAVEX Global
Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
Solid state storage is increasingly deployed in all sizes of datacenters, from the small and medium business to the large enterprise. It comes in many forms including hybrid arrays, direct attached drives, PCIe flash and accelerators that fit somewhere in between servers and storage. With the price of flash continuing to drop, hybrid storage is becoming more compelling to the small and medium business for critical computing applications such as databases and day-to-day operational computing.
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Hewlett Packard Enterprise
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Managing a large datacenter is a costly, complicated activity for any enterprise, but when that datacenter also includes a number of database servers, and when database performance is critical, those costs and complications can multiply. A recent study from IDC explains simple tips to quantify the value of Oracle Exadata Database Machine for your own business. Discover how to deliver new business applications faster.
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Oracle PaaS/IaaS/Hardware
Published By: Alacritech     Published Date: Aug 21, 2009
Customers are increasingly constrained by large transfers of data backup, long backup times to storage devices, and less efficient use of server resources as a result. System and database availability is heavily impacted during backup periods, and with the rapid growth of storage and the need to archive customer data, IT managers are actively seeking solutions for their backup problems.
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data backup, backup and recovery, storage, database availability, backup, recovery, servers, backup server, backup servers, data transfer, alacritech
    
Alacritech
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: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report痴 survey quantifies user trends and readiness f
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SAS
Published By: Datastax     Published Date: Nov 02, 2018
In this eBook, we値l take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
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Datastax
Published By: DataStax     Published Date: Nov 02, 2018
In this eBook, we値l take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
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DataStax
Published By: Datastax     Published Date: Jul 02, 2018
In this eBook, we値l take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
In this eBook, we値l take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
In this eBook, we値l take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
Tags : 
    
Datastax
Published By: Datastax     Published Date: Aug 28, 2018
In this eBook, we値l take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
Tags : 
    
Datastax
Published By: Datastax     Published Date: Aug 28, 2018
In this eBook, we値l take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
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Datastax
Published By: IBM     Published Date: Dec 06, 2013
Most enterprise datacenters are so cluttered with individually constructed servers, including database servers, that staff time is largely taken up with just the maintenance of these systems. As a result, IT service to business users suffers, and the agility of the enterprise suffers. Integrated systems represent an antidote to this problem. By dramatically reducing the amount of setup and maintenance time for the applications and databases they support, integrated systems enable the technical staff to spend more of their time supporting users and enabling the enterprise to thrive.
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ibm, ibm puredata system, transaction, datacenter, data management, integrated system, configuration, consolidation, enterprise applications, business technology, data center
    
IBM
Published By: HP     Published Date: Jul 25, 2008
Countless companies want to take advantage of Microsoft SQL Server 2005 and its notable business and technology benefits. However, with the prevalence of large, complex and sprawling information technology (IT) infrastructures, many organizations are wary of - or avoid altogether - the time, expense and effort required for a mass overhaul of their database environment.
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sql, sql server, migration, infrastructure, server migration, polyserve, data management
    
HP
Published By: IBM     Published Date: Dec 30, 2008
Research giant Forrester estimates that on average, data repositories for large applications grow by fifty percent annually. However, up to half of all that data can be duplicate or otherwise unnecessary. With no end in sight for the increase of raw data (both structured and unstructured), organizations must be ever more strategic about where and how to store enterprise information. Meanwhile, a tightening economy is putting pressure on costs, just as compliance mandates call for greater visibility into processes and data. What to do? Register for this Web Seminar to learn the four pillars of strategic storage, and how they can be used to simultaneously reduce costs, while improving speed, accuracy and accountability. The four pillars will be discussed in detail, with real-world examples of each: deep compression, database archiving,de-duplication thin provisioning.
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strategic storage, ibm, enterprise information, deep compression, database archiving, de-duplication, thin provisioning, knowledge management, storage, data management, data integration, information management, data warehousing
    
IBM
Published By: IBM     Published Date: Jun 29, 2018
IBM LinuxONE is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor II, is designed for businesses where the following may be required: protecting sensitive transactions and minimizing business risk accelerating the movement of data, even with the largest databases growing users and transactions instantly while maintaining operational excellence accessing an open platform that speeds innovation
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
IBM LinuxONE is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor II, is designed for businesses where the following may be required: protecting sensitive transactions and minimizing business risk accelerating the movement of data, even with the largest databases growing users and transactions instantly while maintaining operational excellence accessing an open platform that speeds innovation
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
IBM LinuxONE is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor II, is designed for businesses where the following may be required: protecting sensitive transactions and minimizing business risk accelerating the movement of data, even with the largest databases growing users and transactions instantly while maintaining operational excellence accessing an open pla
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
IBM LinuxONE is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor II, is designed for businesses where the following may be required: protecting sensitive transactions and minimizing business risk accelerating the movement of data, even with the largest databases growing users and transactions instantly while maintaining operational excellence accessing an open platform that speeds innovation
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Group M_IBM Q119
Published By: IBM     Published Date: May 23, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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cloud strategy, database projects, disaster recover, geographic reach, large database, ibm, analytics, management optimization
    
IBM
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