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SQL für Data Science meistern: Komplexe Abfragen und Leistungsoptimierung
Paperback
Publisher: Independently Published
Published: Mar 19 2026
Pages: 478
Weight: 1.40
Height: 0.96 Width: 6.00 Depth: 9.00
Language: German
In Data Science ist SQL kein Grundwerkzeug - es ist ein Wettbewerbsvorteil.
Modelle, Dashboards und Machine Learning beginnen fast immer mit einer Abfrage. Wer SQL nur oberflächlich beherrscht, arbeitet langsamer, fehleranfälliger und weniger effizient. Dieses Buch zeigt, wie man SQL als leistungsstarkes Analysewerkzeug einsetzt - über einfache SELECT-Statements hinaus.
SQL für Data Science meistern richtet sich an alle, die Daten professionell analysieren, vorbereiten und optimieren wollen - mit Fokus auf komplexe Abfragen, analytisches Denken und Performance.
Was du in diesem Buch lernst
Komplexe SQL-Abfragen für reale Data-Science-Use-Cases
Joins, Subqueries und Common Table Expressions richtig einsetzen
Analytische Abfragen für Business- und Forschungsfragen
Leistungsoptimierung bei gro en Datenmengen
Abfragepläne verstehen und Engpässe erkennen
Indizes sinnvoll nutzen
Wartbaren, klaren und performanten SQL-Code schreiben
Der Fokus liegt auf praxisnaher Analyse, nicht auf Datenbank-Administration.
Für wen ist dieses Buch geeignet?
Dieses Buch ist ideal für:
Data Scientists und Data Analysts
Analytics Engineers
Business-Intelligence-Spezialisten
Softwareentwickler mit Datenfokus
Alle, die SQL auf professionellem Niveau einsetzen wollen
Grundkenntnisse in SQL werden empfohlen.
Warum SQL-Mastery in Data Science entscheidend ist
Der Gro teil der Datenarbeit passiert vor dem Modellieren.
Starkes SQL ermöglicht:
Schnelle Exploration gro er Datensätze
Zuverlässige Feature-Generierung
Reproduzierbare Analysen
Weniger Abhängigkeit von externen Tools
Dieses Buch lehrt, analytisch in SQL zu denken, nicht nur Abfragen zu schreiben.
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The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
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Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
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Software Engineering at Google: Lessons Learned from Programming Over Time
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Articulating Design Decisions: Communicate with Stakeholders, Keep Your Sanity, and Deliver the Best User Experience
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Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
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Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
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Adobe Photoshop, 2nd Edition: A Complete Course and Compendium of Features
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Kubernetes in Action, Second Edition: Deploying and Managing Containers and Cloud-Native Applications
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Spies, Lies, and Algorithms: The History and Future of American Intelligence
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Electronic Music and Sound Design - Theory and Practice with Max 9 - Volume 1 (Fifth Edition)
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