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| Link zu diesem Datensatz | https://d-nb.info/1343657199 |
| Titel | Data Engineering for Machine Learning Pipelines : From Python Libraries to ML Pipelines and Cloud Platforms / by Pavan Kumar Narayanan |
| Person(en) | Narayanan, Pavan Kumar (Verfasser) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Berkeley, CA : Apress, Imprint: Apress |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXV, 636 p. 225 illus. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 9798868806018 Printed edition:: ISBN: 9798868806032 |
| Inhalt | Chapter 1: Data Manipulation and Analytics Using Pandas -- Chapter 2: Data Manipulation Using Polars and CuDF -- Chapter 3: Introduction to Data Validation -- Chapter 4: Data Validation Using Great Expectations -- Chapter 5: Introduction to API Design Using FastAPI -- Chapter 6: Introduction to Concurrency Programming Using Task -- Chapter 7: Dask ML -- Module 5: Data Pipelines in the Cloud -- Chapter 9: Introduction to Microsoft Azure -- Chapter 10: Introduction to Google Cloud -- Chapter 11: Introduction to Streaming Data -- Chapter 12: Introduction to Workflow Management Using Airflow -- Chapter 13: Introduction to Workflow Management Using Prefect |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2410010500051.672076449454 DOI: 10.1007/979-8-8688-0602-5 |
| URL | https://doi.org/10.1007/979-8-8688-0602-5 |
| ISBN/Einband/Preis | 979-8-8688-0602-5 |
| Sprache(n) | Englisch (eng) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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