| 1. |
Spaggiari, Jean-Marc: Getting started with Kudu : perform fast analytics on fast data / Jean-Marc Spaggiari [and three others].. - First edition.. -
Sebastopol, CA: O'Reilly Media, 2018. - 1 online resource (1 volume) : illustrations
 Online resource |
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| 2. |
Müller, Sebastian: Big Data Analysen : für den schnellen Einstieg / Sebastian Müller. -
Berlin ; Boston: De Gruyter Oldenbourg, [2018]. - VIII, 148 Seiten : Illustrationen, ISBN 978-3-11-045552-6
(Softwaretechnik ; Band 3)
 Book/no value |
Shelfmark: LN-U 10-18854
|
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| 3. |
Kunigk, Jan: Architecting modern data platforms : a guide to enterprise Hadoop at scale / Jan Kunigk, Ian Buss, Paul Wilkinson, and Lars George. - First edition. -
Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo: O'Reilly, December 2018. - xxvi, 605 Seiten : Illustrationen, Diagramme, ISBN 978-1-4919-6927-4
Book/no value |
Shelfmark: LN-U 10-18991
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| 4. |
Mendelevitch, Ofer: Practical data science with Hadoop® and Spark : designing and building effective analytics at scale / Ofer Mendelevitch, Casey Stella, Douglas Eadline. -
Boston ; Munich: Addison-Wesley, [2017]. - xix, 230 Seiten : Illustrationen, ISBN 978-0-13-402414-1
(Always learning)
(The Addison-Wesley data and analytics series)
Book/no value |
Shelfmark: LN-U 10-18436
|
|
| 5. |
Healthcare big data analytics : computational optimization and cohesive approaches / edited by Akash Kumar Bhoi, Ranjit Panigrahi, Victor Hugo C. Albuquerque, Rutvij H. Jhaveri. -
Berlin ; Boston: De Gruyter, [2024]. - X, 342 Seiten : Diagramme, Illustrationen, ISBN 978-3-11-075073-7
(Intelligent biomedical data analysis ; volume 10)
Book/no value |
Shelfmark: UBN/ST 640 K96
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| 6. |
Aubury, Simon: GETTING STARTED WITH DUCKDB : a practical guide for accelerating your data science, data analytics, and data engineering workflows / Simon Aubury, Ned Letcher. - 1st edition.. -
Birmingham, UK: Packt Publishing Ltd., 2024. - 1 online resource, ISBN 978-1-80323-253-9
Online resource |
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| 7. |
Journal of big data analytics in transportation. -
[Singapore]: Springer Nature, [2019-2022]. - Online-Ressource, ISSN 2523-3564
Volume 1, issue 1 (June 2019)-volume 4, issue 2/3 (December 2022)
Online resource  |
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| 8. |
Alapati, Sam R.: Expert Hadoop administration : managing, tuning, and securing Spark, YARN, and HDFS / Sam R. Alapati. -
Boston ; New York ; Amsterdam ; Munich: Addison-Wesley, Pearson, [2017]. - xxxvi, 799 Seiten : Illustrationen, ISBN 978-0-13-459719-5
(Always learning)
(The Addison-Wesley data and analytics series)
Book/no value |
Shelfmark: LN-U 10-18349
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| 9. |
Topol, Matthew: In-Memory Analytics with Apache Arrow : Perform Fast and Efficient Data Analytics on Both Flat and Hierarchical Structured Data / Matthew Topol ; foreword by Wes McKinney. -
Birmingham: Packt Publishing, Limited, 2022. - 1 online resource (392 p.), ISBN 978-1-80107-343-1
Online resource |
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| 10. |
Borges, Georg: Big Data : Grundlagen, Rechtsfragen, Vertragspraxis : Rechtshandbuch / Prof. Dr. Georg Borges, Dr. Ulrich Keil (Hrsg.) ; Dr. Matthias Berberich, LL.M. (Cambridge), Prof. D… . - 1. Auflage. -
Baden-Baden: Nomos, 2024. - 703 Seiten : Diagramme, ISBN 978-3-8487-7196-7
Book/no value |
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| 11. |
Jurney, Russell: Agile data science : [building data analytics applications with Hadoop] / Russell Jurney. - 1. ed.. -
Beijing ; Köln [u.a.]: O'Reilly, 2014. - X, 164 S. : Ill., graph. Darst., ISBN 978-1-449-32626-5
Book/no value |
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| 12. |
Machine Learning under Resource Constraints : Applications / edited by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer. -
Berlin ; Boston: De Gruyter, 2022. - 1 Online-Ressource (VIII, 470 Seiten), ISBN 978-3-11-078598-2
(Machine Learning under Resource Constraints ; Volume 3)
(De Gruyter STEM)
DOI: 10.1515/9783110785982
Online resource |
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| 13. |
Wartala, Ramon: Praxiseinstieg Deep Learning : mit Python, Caffe, TensorFlow und Spark eigene Deep-Learning-Anwendungen erstellen / Ramon Wartala. - 1. Auflage. -
Heidelberg: O'Reilly, 2018. - X, 214 Seiten : Illustrationen, Diagramme, ISBN 978-3-96009-054-0
Book/no value |
Shelfmark: LN-U 10-18593
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| 14. |
Patterson, Josh: Deep learning : a practitioner's approach / Josh Patterson and Adam Gibson. - First Edition. -
Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo: O'Reilly, August 2017. - XXI, 507 Seiten : Illustrationen, Diagramme, ISBN 978-1-4919-1425-0
Book/no value |
Shelfmark: LN-U 10-18610
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| 15. |
Saleem, Tausifa: Big Data Analytics for Internet of Things / Saleem, Tausifa. - 1st edition. -
[Erscheinungsort nicht ermittelbar]: Wiley, 2021. - 1 online resource (400 pages), ISBN 978-1-119-74075-9
Online resource |
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| 16. |
Humanities and big data in Ibero-America : Volume 2 : Theory, methodology and practical applications / edited by Ana Gallego Cuiñas und Daniel Torres-Salinas. -
Berlin ; Boston: De Gruyter, [2024]. - 1 Online-Ressource (VI, 233 Seiten) : Illustrationen, ISBN 978-3-11-075361-5
(Humanidades digitales y big data en Iberoamérica ; volume 2)
DOI: 10.1515/9783110753523
Online resource |
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| 17. |
Rana, Tarek: Handbook of big data and analytics in accounting and auditing / Tarek Rana, Jan Svanberg, Peter Öhman, Alan Lowe, editors. -
Singapore: Springer, [2023]. - xxii, 564 Seiten : Illustrationen, ISBN 978-981-19-4459-8
DOI: 10.1007/978-981-19-4460-4
Book/no value |
Shelfmark: LN-U 10-19978
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| 18. |
Big Data Analytics : Grundlagen, Fallbeispiele und Nutzungspotenziale / Sara D'Onofrio, Andreas Meier (Hrsg.). -
Wiesbaden: Springer Vieweg, [2021]. - 1 Online-Ressource (XXI, 285 Seiten) : Illustrationen, Diagramme, ISBN 978-3-658-32236-6
(Springer eBook Collection)
(Edition HMD)
DOI: 10.1007/978-3-658-32236-6
Online resource |
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| 19. |
Big data and social media analytics : trending applications / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors. -
Cham: Springer, 2021. - 1 Online-Ressource (VI, 245 Seiten), ISBN 978-3-030-67044-3
(Springer eBook Collection)
(Lecture notes in social networks)
DOI: 10.1007/978-3-030-67044-3
Online resource |
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| 20. |
Ghavami, Peter: Big data management : data governance principles for big data analytics / Peter Ghavami. -
Berlin ; Boston: De Gruyter, [2021]. - XVIII, 155 Seiten : Illustrationen, ISBN 978-3-11-066291-7
(Business & economics)
Book/no value |
available for loan  Shelfmark: 2020 A 12689
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