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Results 76 - 86 of 86Sort Results By: Published Date | Title | Company Name
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
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 reportís survey quantifies user trends and readiness f
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SAS
By: SAS     Published Date: Aug 28, 2018
ďUnpollutedĒ data is core to a successful business Ė 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
By: SDL Web Content Management Solutions     Published Date: Sep 01, 2010
Recent evolution in the mobile applications market now offers enterprises new opportunities for reaching customers in ways never before possible. In the past 18 months, a number of independent market forces have converged to enable goods-and-services providers to market to specific customers, at specific times, at specific locations. Importantly, such targeted messaging draws on a richer-than-ever set of consumer information, including not only detailed demographics from implicit (inferred) and explicit (user-provided) profiles, but also real-time, location-based data.
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sdl, web content management, magic quadrant, wcm, content, web, mobile marketing, strategy, analytics
    
SDL Web Content Management Solutions
By: Snowflake     Published Date: Jan 25, 2018
"The forces that gave rise to data warehousing in the 1980s are just as important today. However, history reveals the benefits and drawbacks of the traditional data warehouse and how it falls short. This eBook explains how data warehousing has been re-thought and reborn in the cloud for the modern, data-driven organization."
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Snowflake
By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‚Äźmakers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‚Äźprocess changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized, analyzed, visualized, mapped, database, gis, geographic business intelligence, data independence, etl, csv, delimited text file, mdb (both for microsoft access, esri personal geodatabase
    
SRC,LLC
By: Tableau     Published Date: Apr 13, 2018
In this whitepaper, discover the benefits of expanding your analytics toolkit. Combine Excelís data collection and management capabilities with Tableauís intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet. Read more at about this partnership.
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Tableau
By: Viavi Solutions     Published Date: Jul 21, 2017
Rapid increases in network traffic volumes, security threats and application complexity all underscore the importance for lossless data capture, analysis and storage to provide crucial raw data for post event analysis and remediation. Viavi commissioned Tolly to evaluate the performance of its Observer GigaStor family of capture, analysis, and storage solutions. Specifically the tests that focuses on bench marking maximum sustained full packet capture/write rates and greatest burst performance with no packet loss while delivered robust encryption of stored network data.
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ethernet, service troubleshooting, storage solutions, stored network data, network traffic, security threats, network analysis, write data
    
Viavi Solutions
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
By: Workday     Published Date: Feb 04, 2019
"Read now to learn about three key steps drawn from the ď2018 Deloitte Global Human Capital TrendsĒ report that emerging organisations can take to attract and retain top talent, including: ? Redefining careers ? Creating more personalised performance enablement to boost employee engagement ? Using data-driven technology and analytics to enhance business value "
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workday, workforce technology, digital strategy
    
Workday
By: Workday UK     Published Date: Jan 31, 2019
Read now to learn about three key steps drawn from the ď2018 Deloitte Global Human Capital TrendsĒ report that emerging organisations can take to attract and retain top talent, including: Redefining careers Creating more personalised performance enablement to boost employee engagement Using data-driven technology and analytics to enhance business value
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workday, workforce technology, digital strategy
    
Workday UK
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