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Results 76 - 86 of 86Sort Results By: Published Date | Title | Company Name
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’s survey quantifies user trends and readiness f
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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: Dell     Published Date: Nov 17, 2013
This paper explains the challenges involved in proactive database management and identifies the key features to look for in database management solutions.
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database management, dba, dbas, dell, enterprise database, raw data, data overload, application performance management, apm, data storage
    
Dell
Published By: Cisco     Published Date: Dec 21, 2016
It’s the difference between raw data, and information. The Miercom Business Decision Series combines the results of our hands-on testing, with insight on how particular features can positively impact the business bottom line. This report details some of the clear business advantages that the Cisco Catalyst 3650 Series delivers.
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Cisco
Published By: SAS     Published Date: Oct 18, 2017
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’s survey quantifies user trends and readiness f
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SAS
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
    
IBM
Published By: IBM     Published Date: Aug 28, 2009
You've already taken basic cost-cutting steps and saved the easy money. You know that you need to dig deeper. But where should you start? What's killing your IT budget?
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storage expansion, system complexity, hardware sprawl, reliability, scalability, compliance, dba, roi, information management policies, database, information integration platform
    
IBM
Published By: Virgin Pulse     Published Date: Oct 03, 2013
This paper draws on a wealth of experience, external research, and Virgin Pulse's robust analysis of client data to outline the key factors within your organization that can drive your employees to enroll in, and stay engaged with, your workplace wellness programs.
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employee wellness, sustained engagement, employee wellness initiatives, employee wellness programs
    
Virgin Pulse
Published By: HP and Intel ®     Published Date: May 02, 2013
This paper summarizes and evaluates the prevalence and efficacy of data center virtualization deployments, as well as the hardware that supports them. The conclusions drawn from this report are based on analysis of both quantitative market research and two qualitative interviews with a CIO and CTO in healthcare and finance, respectively. Each customer, referred to ESG by Hewlett-Packard (HP), had extensive experience deploying both server and desktop virtualization. The goal of the study was to determine the IT and business drivers to adoption of virtualization technologies, the expected and realized benefits, ensuing infrastructure decisions, future outlook of the data center, and best practices for deployment.
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HP and Intel ®
Published By: HP and Intel ®     Published Date: May 06, 2013
This paper summarizes and evaluates the prevalence and efficacy of data center virtualization deployments, as well as the hardware that supports them. The conclusions drawn from this report are based on analysis of both quantitative market research and two qualitative interviews with a CIO and CTO in healthcare and finance, respectively. Each customer, referred to ESG by Hewlett-Packard (HP), had extensive experience deploying both server and desktop virtualization. The goal of the study was to determine the IT and business drivers to adoption of virtual technologies, the expected and realized benefits, ensuing infrastructure decisions,future outlook of the data center, and best practices for deployment.
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data center, virtualization, data center management, automation, agile, storage, van, virtual application network, infrastructure, desktop virtualization, cloud computing
    
HP and Intel ®
Published By: HERE Technologies     Published Date: Sep 26, 2018
Mobile has become the first screen for consumers in terms of internet time spent. Hyperlocal location data is unique to mobile and provides a lot of new, valuable information about consumers. Today’s sophisticated buyers demand more transparency in location data science, better campaign performance and ROI from attribution modeling. Finding the right partner that can help build the bridge between real-world consumer behavior and mobile programmatic advertising in a transparent way is essential. To meet those challenges and address the demand for top quality location data, adsquare integrated a global database of HERE Places in April 2017. By leveraging HERE Places and overlaying raw location data of anonymous users with POI data points, adsquare is able to understand exactly what consumers are doing in the real world: what places they visit, when and how often. To find out more download this paper today.
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HERE Technologies
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