Data superstream. Real-time analytics.
(eVideo)
Contributors
Pratt, Lorien, presenter.
Wolok, Karin, presenter.
Grygleski, Mary, presenter.
Gamble, Ben, presenter.
Needham, Mark, presenter.
Wolok, Karin, presenter.
Grygleski, Mary, presenter.
Gamble, Ben, presenter.
Needham, Mark, presenter.
Published
[Place of publication not identified] : O'Reilly Media, Inc., [2023].
Format
eVideo
Edition
[First edition].
Physical Desc
1 online resource (1 video file (3 hr., 40 min.)) : sound, color.
Status
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Language
English
UPC
0636920900061
Notes
Participants/Performers
Lorien Pratt, Karin Wolok, Mary Grygleski, Ben Gamble, Mark Needham, Dunith Dhanushka, Chris Andrassy, James Corcoran, Yingjun Wu, presenters.
Description
Quickly collecting, analyzing, and visualizing data to make data-driven business decisions is imperative to building an effective data strategy--and to maintaining a competitive edge for your business. We can now do analytics that reflect data in near real time, enabling better and faster insights at the point of decision. We can also process and query new data faster than ever before, running hundreds of thousands of queries per second with added layers of cutting-edge analytical capabilities. So what does this mean for your organization? The ability to unlock faster, more actionable insights for all in real time. Join us to dive deeply into the modern world of real-time analytics. Data engineers, developers, and architects will explore the latest trends in real-time analytics--including modern data applications, streaming technologies, data architecture, and tools--straight from experts and practitioners successfully putting them to use in the field.
Citations
APA Citation, 7th Edition (style guide)
Pratt, L., Wolok, K., Grygleski, M., Gamble, B., Needham, M., Dhanushka, D., Andrassy, C., Corcoran, J., & Wu, Y. (2023). Data superstream ([First edition].). O'Reilly Media, Inc..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Lorien, Pratt et al.. 2023. Data Superstream. O'Reilly Media, Inc.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Lorien, Pratt et al.. Data Superstream O'Reilly Media, Inc, 2023.
MLA Citation, 9th Edition (style guide)Pratt, Lorien,, et al. Data Superstream [First edition]., O'Reilly Media, Inc., 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
683efa17-0959-50df-a7de-c931806ab302-eng
Grouping Information
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|---|---|
| Full title | data superstream real time analytics |
| Author | oreilly |
| Grouping Category | movie |
| Last Update | 2024-09-06 16:31:08PM |
| Last Indexed | 2024-09-25 03:12:02AM |
Marc Record
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| Last File Modification Time | Sep 06, 2024 04:54:32 PM |
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| 520 | |a Quickly collecting, analyzing, and visualizing data to make data-driven business decisions is imperative to building an effective data strategy--and to maintaining a competitive edge for your business. We can now do analytics that reflect data in near real time, enabling better and faster insights at the point of decision. We can also process and query new data faster than ever before, running hundreds of thousands of queries per second with added layers of cutting-edge analytical capabilities. So what does this mean for your organization? The ability to unlock faster, more actionable insights for all in real time. Join us to dive deeply into the modern world of real-time analytics. Data engineers, developers, and architects will explore the latest trends in real-time analytics--including modern data applications, streaming technologies, data architecture, and tools--straight from experts and practitioners successfully putting them to use in the field. | ||
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