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Data Engineering mit Python: Erstellen Sie ETL-Pipelines und Daten-Workflows von Grund auf
Paperback
Publisher: Independently Published
Published: Aug 14 2025
Pages: 312
Weight: 0.92
Height: 0.65 Width: 6.00 Depth: 9.00
Language: German
Meistern Sie die Grundlagen moderner Datenverarbeitung - mit praxisnahen ETL-Prozessen in Python.
In einer Welt, in der Daten der neue Rohstoff sind, brauchen Unternehmen Experten, die Daten effizient sammeln, transformieren und bereitstellen können. Data Engineering mit Python ist Ihr praxisorientierter Einstieg in die Welt der Datenpipelines, Workflows und automatisierten Datenprozesse.
Die wichtigsten Konzepte im Data Engineering - verständlich erklärt
Aufbau von ETL-Prozessen (Extract, Transform, Load) mit Python
Nutzung von Bibliotheken wie Pandas, SQLAlchemy, Airflow und PySpark
Erstellung robuster Daten-Workflows für reale Anwendungsfälle
Umgang mit Datenbanken, CSV, JSON und APIs
Fehlerbehandlung, Logging und Wiederholbarkeit Ihrer Prozesse
Tipps zur Skalierbarkeit, Wartung und Automatisierung
Vorbereitung auf Berufsfelder im Data Engineering
Ob Sie als Data Analyst, Data Scientist oder angehender Data Engineer arbeiten möchten - dieses Buch bringt Sie auf das nächste Level.
Schritt für Schritt. Code für Code. Von der Theorie bis zur realen Anwendung.
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