data management

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Published By: FORTRUST     Published Date: Aug 12, 2015
Data Center Infrastructure Management (DCIM) has become more vital than ever to data center operations as efficiency and technology advancement cycles move at an increasingly rapid pace. The insight provided by these essential systems has historically only been accessible to the data center operations team, not the end user or for that matter – the colocated customer. Now that the technology sector as a whole is becoming increasingly user friendly, transparent and hands on, it makes sense for colocation data centers to offer a higher level of insight and transparency into their clients’ individual environments.
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FORTRUST
Published By: Digital Realty     Published Date: Dec 02, 2015
A comprehensive approach to security requires much more than simply installing locks and hiring security officers. While these remain important aspects of an effective security plan, they are part of a broader, more integrative approach to security in today’s dynamic environment. For data center operators, ensuring the security and continuity of their clients’ business operations is a key and compelling imperative. This paper has examined the elements and organization of a holistic approach to security. Digital Realty views security as an integrated process, consisting of the subprocesses of physical security, information security, incident management, business continuity and compliance, enabled by the systems, processes and people providing quality of delivery and reliability of performance. Absent any of these elements, security becomes a series of loosely related tasks lacking in cohesive effectiveness.
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Digital Realty
Published By: Intel     Published Date: Dec 31, 2015
A recent survey of 200 data center managers across the US and UK reveals that a large proportion of centers take a manual approach to planning and forecasting. Despite its limitations, MS Excel emerges as a popular tool and nearly one in ten resort to walking around a data center with a tape measure. Only just over half are able to benefit from using Data Center Infrastructure Management (DCIM) tools. The manual approach is not limited to smaller data centers by any means; the proportion was found to remain the same even amongst the larger data centers (with above 1,500 servers). When asked why manual methods were employed, 46% said it was because they felt that the alternatives would be too expensive. A further 35% feared they lacked the resources to implement a more automated approach. Whilst both these factors may seem reasonable enough at first sight, both might actually represent false economies in the longer run.
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Intel
Published By: Intel     Published Date: May 06, 2016
Energy costs are the fastest-rising expense for today’s data centers. Naturally, power consumption is a top concern for managers of data center, enterprise, and cloud environments. Moreover, there are multiple proprietary power measurement and control protocols supported by various solution providers, making it challenging to have a single solution for power management across all devices in the data center. After a successful Intel IT proof of concept (PoC) using Intel® Data Center Manager (Intel® DCM) that ended in 2013, we deployed the solution across data centers in multiple countries. In our initial use of Intel DCM, we considered the solution to be focused primarily on gaining a better understanding of the power consumption and thermal status of servers. With broad deployment, we learned that Intel DCM is capable of much more.
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Intel
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen
Published By: Lookout     Published Date: Apr 18, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence. Watch the webinar to learn more about: What makes up the full spectrum of mobile risks Lookout's Mobile Risk Matrix covering the key components of risk How to evolve beyond mobile device management
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Lookout
Published By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: Hubble by insightsoftware.com     Published Date: May 22, 2018
Don’t settle. Forward-thinking finance professionals know that there is a better way. Though BI tools have provided visibility to data, they have in fact failed to provide direct access to enterprise information. However, evolution does not stop there: Next-gen corporate performance management solutions are among us and promise to deliver interconnected, flexible, and realtime data access. Agility achieved.
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erp, enterprise, finance, evolution, performance
    
Hubble by insightsoftware.com
Published By: Panduit     Published Date: Aug 28, 2018
Interested in learning how the right physical and network infrastructure approach in your colocation data center facility can help you stabilize costs, provide better security, and help promote growth for you and your tenants? Download the Panduit white paper Optimizing Colocation Infrastructure Strategies to learn how to overcome the challenges of aging colocation data center infrastructure and onboard new tenants quickly.
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panduit, colocation, data center, data center management, infrastructure, colocation provider
    
Panduit
Published By: Panduit     Published Date: Oct 09, 2018
Interested in learning how to stabilize costs and promote growth for you and your tenants? Download the Panduit white paper Colocation Provider Strategies for Success to learn how you can enable ongoing monitoring and maximize your colo data center’s efficiency.
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panduit, colocation, data center management, network monitoring
    
Panduit
Published By: StreamSets     Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
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replatforming, age, data, lake, apache, hadoop
    
StreamSets
Published By: Tripp Lite     Published Date: May 15, 2018
A Practical Guide to IDF/MDF Infrastructure Implementation Once relegated to early adopters and casual home users, VoIP (voice over Internet protocol) has matured. An essential element of any unified communications (UC) system, it is now the standard method of voice communication in business, education, government and healthcare. If your organization has not already migrated to VoIP, the question is not so much if it will, but when. Cost is the primary driver, since the data network performs double duty by carrying voice traffic as well. VoIP also offers capabilities that far exceed traditional phone systems, with unified communication platforms promising to integrate messaging, mobility, collaboration, relationship management, zoned security, intelligent call routing, disaster recovery, video, teleconferencing, status updates and other advanced features. The transition to VoIP presents a number of challenges, including assessing the ability of your network to handle not only additio
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Tripp Lite
Published By: Tripp Lite     Published Date: May 15, 2018
As organizations pursue improvements in reliability and energy efficiency, power design in data centers gets substantial attention—particularly from facilities and engineering personnel. At the same time, however, many IT professionals tend to spend little time or energy on the specific products they use to deliver and distribute electrical power. In?rack power is often considered less strategically important than which servers or databases to deploy, and it is often one of the last decisions to be made in the overall design of the data center. But choosing the right in-rack power solutions can save organizations from potentially crippling downtime and deliver significant up-front and ongoing savings through improved IT efficiency and data center infrastructure management.
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Tripp Lite
Published By: Tripp Lite     Published Date: Jun 28, 2018
When you’re designing a data center, server room or network closet, deciding which racks to deploy and how to configure them should be at the top of your list. Just like building a house, the surface details may steal the spotlight, but it’s the quality of the underlying foundation that makes the difference between success and frustration. Racks organize IT equipment, such as servers and network switches, into standardized assemblies that make efficient use of space and other resources. Depending on the options you choose, they can also improve power protection, cooling, cable management, device management, physical security, mobility, ease of installation and protection from harsh environmental conditions. Choosing the right racks and configuring them to match your needs will ensure that your IT equipment operates reliably and efficiently, saving your organization from costly downtime and other needless expenses.
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Tripp Lite
Published By: Pure Storage     Published Date: Sep 04, 2018
Veritas' NetBackup software has long been a favorite for data protection in the enterprise, and is now fully integrated with the market-leading all-flash data storage platform: Pure Storage. NetBackup leverages the FlashArray API for fast and simple snapshot management, and protection copies can be stored on FlashBlade for rapid restores and consolidation of file and object storage tiers. This webinar features architecture overviews as well as 2 live demo's on the aforementioned integration points.
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Pure Storage
Published By: ASG Software Solutions     Published Date: Jun 09, 2009
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
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asg, cmdb, bsm, itil, bsm, metacmdb, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application, cms, itsm
    
ASG Software Solutions
Published By: Alcatel-Lucent     Published Date: Dec 02, 2009
Faster, more powerful and dense computing hardware generates significant heat and imposes considerable data center cooling requirements.
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data center design and management, distributed computing, internetworking hardware, power and cooling
    
Alcatel-Lucent
Published By: Extensis     Published Date: Jun 08, 2010
Metadata Management is the process of ensuring that all metadata associated with a digital asset is captured, organized, stored and made available for use by and within other applications. Metadata Management begins at the moment the digital asset is created by an application or captured by digital imaging.
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metadata, management, extensis, digital asset management'
    
Extensis
Published By: SAS     Published Date: Aug 28, 2018
Despite heavy, long-term investments in data management, data problems at many organizations continue to grow. One reason is that data has traditionally been perceived as just one aspect of a technology project; it has not been treated as a corporate asset. Consequently, the belief was that traditional application and database planning efforts were sufficient to address ongoing data issues. As our corporate data stores have grown in both size and subject area diversity, it has become clear that a strategy to address data is necessary. Yet some still struggle with the idea that corporate data needs a comprehensive strategy. There’s no shortage of blue-sky thinking when it comes to organizations’ strategic plans and road maps. To many, such efforts are just a novelty. Indeed, organizations’ strategic plans often generate very few tangible results for organizations – only lots of meetings and documentation. A successful plan, on the other hand, will identify realistic goals along with a r
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
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: Aug 28, 2018
You may know some basics about data management, but do you realize the transformational results data-management-done-right can produce? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and becoming a data-driven business, you’ll learn why good data management is essential to success. Multiple real-world examples illustrate how SAS customers have used data management to improve customer experience, boost revenue, remain compliant and become more efficient.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
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SAS
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