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OCoLC |
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20231017213018.0 |
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181206s2017 caua ob 000 0 eng d |
040 |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d TOH
|d OCLCF
|d G3B
|d STF
|d MERER
|d OCLCQ
|d CZL
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
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020 |
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|z 9781491984444
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029 |
1 |
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|a AU@
|b 000068970531
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035 |
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|a (OCoLC)1078253699
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|a CL0501000012
|b Safari Books Online
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050 |
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4 |
|a QA76.76.A65
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049 |
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|a UAMI
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100 |
1 |
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|a Castanedo, Federico,
|e author.
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245 |
1 |
0 |
|a Delivering embedded analytics in modern applications :
|b a product manager's guide to integrating contextual analytics /
|c Federico Castanedo and Andy Oram.
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250 |
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|a First edition.
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264 |
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1 |
|a Sebastopol, CA :
|b O'Reilly Media,
|c [2017]
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264 |
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4 |
|c ©2017
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300 |
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|a 1 online resource (1 volume) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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588 |
0 |
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|a Online resource; title from title page (Safari, viewed December 6, 2018).
|
504 |
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|a Includes bibliographical references.
|
520 |
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|a Organizations are rapidly consuming more data than ever before, and to drive their competitive advantage, they're demanding interactive visualizations and interactive analyses of that data be embedded in their applications and business processes. This will enable them to make faster and more effective decisions based on data, not guesses. This practical book examines the considerations that software developers, product managers, and vendors need to take into account when making visualization and analytics a seamlessly integrated part of the applications they deliver, as well as the impact of migrating their applications to modern data platforms. Authors Federico Castanedo (Vodafone Group) and Andy Oram (O'Reilly Media) explore the basic requirements for embedding domain expertise with fast, powerful, and interactive visual analytics that will delight and inform customers more than spreadsheets and custom-generated charts. Particular focus is placed on the characteristics of effective visual analytics for big and fast data. Learn the impact of trends driving embedded analytics Review examples of big data applications and their analytics requirements in retail, direct service, cybersecurity, the Internet of Things, and logistics Explore requirements for embedding visual analytics in modern data environments, including collection, storage, retrieval, data models, speed, microservices, parallelism, and interactivity Take a deep dive into the characteristics of effective visual analytics and criteria for evaluating modern embedded analytics tools Use a self-assessment rating chart to determine the value of your organization's BI in the modern data setting.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Application software
|x Development.
|
650 |
|
0 |
|a Information technology
|x Management.
|
650 |
|
0 |
|a Information visualization.
|
650 |
|
0 |
|a Decision making
|x Data processing.
|
650 |
|
6 |
|a Logiciels d'application
|x Développement.
|
650 |
|
6 |
|a Technologie de l'information
|x Gestion.
|
650 |
|
6 |
|a Visualisation de l'information.
|
650 |
|
6 |
|a Prise de décision
|x Informatique.
|
650 |
|
7 |
|a Application software
|x Development
|2 fast
|
650 |
|
7 |
|a Decision making
|x Data processing
|2 fast
|
650 |
|
7 |
|a Information technology
|x Management
|2 fast
|
650 |
|
7 |
|a Information visualization
|2 fast
|
700 |
1 |
|
|a Oram, Andrew,
|e author.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781491984451/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
|
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|a 92
|b IZTAP
|