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data support

Results 101 - 125 of 507Sort Results By: Published Date | Title | Company Name
Published By: VMware     Published Date: May 10, 2017
What is a digital workspace and what does it take to create one? If we break it down, the workspace is a portal for end users into all of their apps and online services that they canseamlessly and securely access across devices and locations. But what makes the workspace of today different from the desktop or mobile device of the past? And how can you move forward with delivering a digital workspace? Download this solution brief to learn how VMware® Workspace™ ONE™is designed to deliver a digital workspace that integrates device management, application delivery, and identity management into a single platform on your terms, via your data center, in the cloud, or through a combination of the two. This workspace can be accessed by your end users across devices and locations and be centrally secured and supported to streamline management and improve the quality of services you deliver across the entire organization.
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VMware
Published By: Panduit     Published Date: Apr 21, 2015
DCIM tools support the diverse needs of colocation providers, large enterprises/managed service providers and midsize enterprises. This research provides data center managers with insight into seven DCIM tools and their ability to support these three uses cases.
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dcim tools, data center infrastructure
    
Panduit
Published By: SAP     Published Date: Nov 16, 2017
The SAP HANA platform has successfully become a proven mainstay data management solution, supporting the full range of analytic and transactional software from SAP, both in the data center and in the cloud.
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SAP
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
Published By: SAP     Published Date: Mar 24, 2011
As you prepare to embark on an ERP implementation or to upgrade an existing system, you have a lot to juggle and plan. You know the horror stories of "go-lives" going bad but you aren't sure how to avoid the pitfalls. This white paper discusses at length how Utopia's formal data migration methodology reduces the risks of large systems deployments by using a tried-and-tested framework for the entire migration process, from source data analysis through post-go-live support.
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data migration management, source data analysis, data integrity, erp implementation
    
SAP
Published By: Trillium Software     Published Date: May 19, 2011
Today financial services institutions must meet the standards for data quality attestation by the FFEIC regulators of risk reporting. This paper discusses the platform and domain expertise needed to support the rigorous demands of commercial and retail risk reporting.
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trillium software, data quality management, basel ii solution, data profiling, data monitoring, metadata, data supporting risk, grc
    
Trillium Software
Published By: TIBCO Software     Published Date: Aug 13, 2018
Big data has raised the bar for data virtualization products. To keep pace, TIBCO® Data Virtualization added a massively parallel processing engine that supports big-data scale workloads. Read this whitepaper to learn how it works.
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TIBCO Software
Published By: Pentaho     Published Date: Apr 28, 2016
As data warehouses (DWs) and requirements for them continue to evolve, having a strategy to catch up and continuously modernize DWs is vital. DWs continue to be relevant, since as they support operationalized analytics, and enable business value from machine data and other new forms of big data. This TDWI Best Practices report covers how to modernize a DW environment, to keep it competitive and aligned with business goals, in the new age of big data analytics. This report covers: • The many options – both old and new – for modernizing a data warehouse • New technologies, products, and practices to real-world use cases • How to extend the lifespan, range of uses, and value of existing data warehouses
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pentaho, data warehouse, modernization, big data, bug data analytics, best practices, networking, it management, wireless, platforms
    
Pentaho
Published By: IBM     Published Date: Nov 13, 2014
This paper focuses on the benefits of a queryable data store and big data technologies available to support data warehouse modernization. Read the paper to understand how data can be stored and optimized with Hadoop.
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ibm, ibm infosphere, big data, hadoop, big sql, data warehousing
    
IBM
Published By: IBM     Published Date: Sep 18, 2008
BI and data warehousing have undergone significant changes in the past decade. With the advent of operational BI came major pressures on the BI environment, involving the need to support operational decision-making. This white paper explores these pressures and how to deal with them by creating a dynamic, future-proof infrastructure.
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ibm, ibm mmdg, business intelligence, infrastructure, data warehousing
    
IBM
Published By: IBM     Published Date: Nov 30, 2016
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloud, cloudant managed service, cloudant local, apache couchdb, enterprise applications, cloud computing
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloud, analytics, cloudant managed service, cloudant local, apache couchdb, databases, enterprise applications
    
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
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this 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.
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IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this 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.
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decisions, success, drive, management, effectively, business data, support, real-time, analytics
    
IBM
Published By: HP and Intel® Xeon® processors     Published Date: Nov 30, 2011
Hear how ESG defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
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storage, data center, environment, mainframes, servers, complexity, virtual machines, cloud, infrastructure, storage, tier-1, tier-1 storage
    
HP and Intel® Xeon® processors
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
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, servers, data center
    
IBM
Published By: Cisco     Published Date: Jan 05, 2015
Virtualization has transformed the data center over the past decade. IT departments use virtualization to consolidate multiple server workloads onto a smaller number of more powerful servers. They use virtualization to scale existing applications by adding more virtual machines to support them, and they deploy new applications without having to purchase additional servers to do so. They achieve greater resource utilization by balancing workloads across a large pool of servers in real time—and they respond more quickly to changes in workload or server availability by moving virtual machines between physical servers. Virtualized environments support private clouds on which application engineers can now provision their own virtual servers and networks in environments that expand and contract on demand.
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datacenter, data management, collaborations, business capabilities
    
Cisco
Published By: Dell EMC Storage     Published Date: Nov 28, 2018
As IT demands mount, IT organizations simply no longer have the luxury of spending resources to verify every vendor promise. Systems just need to work, while delivering a future free from costly data migrations. As a response, IT vendors have begun to offer guarantees in performance, guarantees in data reduction rates, guarantees in data deduplication, or free upgrades. These programs, however, are often limited to a single storage or data protection product offering, typically with all-flash technology. Dell EMC solutions, powered by Intel® Xeon® processor goes one step further with a program that delivers a future-proof infrastructure promise that extends to its larger storage, hyperconverged, and data protection portfolio and provides support across both generational and architectural transitions.
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Dell EMC Storage
Published By: Dell EMC     Published Date: Nov 09, 2015
Download this whitepaper and learn how the Dell Genomic Data Analysis Platform can accelerate discovery and insights through optimized infrastructure and support.
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Dell EMC
Published By: Dell Software     Published Date: Oct 03, 2013
In contrast to competing APM solutions, most of which focus on technical metrics, the release of Foglight 5.9 delivers detailed information about users, user actions and application usability.
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dell, foglight, apm, big data, best practices, application performance management, technology, user experience, enterprise applications
    
Dell Software
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