Dēta enjiniaringu no kiso

• Verfasst von: Reis, Joe [VerfasserIn]
• Verfasst von: Housley, Matthew L. [VerfasserIn]
• Titel: Dēta enjiniaringu no kiso
• Titel: データエンジニアリングの基礎
• Titelzusatz: dēta purojekuto de shippaishinai tame ni /
• Titelzusatz: データプロジェクトで失敗しないために
• Mitwirkende: Nakada, Hidemoto [ÜbersetzerIn]
• Werktitel: Fundamentals of data engineering
• Paralleltitel: Fundamentals of data engineering :
• Verf.angabe: Joe Reis, Matt Housley cho ; Nakada Hidemoto yaku = Fundamentals of data engineering : plan and build robust data systems / Joe Reis and Matt Housley
• Verf.angabe: Joe Reis, Matt Housley著 ; 中田秀基訳 = Fundamentals of data engineering : plan and build robust data systems / Joe Reis and Matt Housley.
• Ausgabe: Shohan.
• Ausgabe: 初版
• Verlagsort: Tōkyō-to Shinjuku-ku
• Verlagsort: 東京都新宿区
• Verlag: Orairī Japan
• Verlag: オライリー・ジャパン
• Jahr: 2024
• Jahr: 2024
• Umfang: 1 online resource (416 pages)
• Fussnoten: Includes bibliographical references
• Schrift/Sprache: In Japanese.
• ISBN: 978-4-8144-0065-2
• ISBN: 4-8144-0065-9
• Datenträger: Online-Ressource
• Sprache: jpn
• Sach-SW: Bases de données ; Conception
• Sach-SW: Ordinateurs ; Architecture
• Sach-SW: Bases de données ; Gestion
• K10plus-PPN: 1890485284
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4533722644
• Lokale URL Inst.: Zum Volltext

Abstract

"Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape ; Assess data engineering problems using an end-to-end data framework of best practices ; Cut through marketing hype when choosing data technologies, architecture, and processes ; Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle"-- Page 4 of cover.