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20240221185456
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ta
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240220s2022 caua b 001c0 eng d
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▼a 9781098108304
▼q paperback -
020
▼a 1098108302
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040
▼a 211070
▼c 211070
▼d 211070 -
050
▼a QA76.9.D26
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090
▼a QA76.9.D26
▼b R375 -
245
▼a Fundamentals of data engineering :
▼b plan and build robust data systems /
▼d Joe Reis ,
▼e Matt Housley -
250
▼a First edition
-
260
▼a Sebastopol, CA :
▼b O'Reilly Media,
▼c 2022 -
300
▼a xix, 422 pages :
▼b illustrations (black and white) ;
▼c 24 cm -
504
▼a Includes bibliographical references and index.
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505
▼a Data engineering described -- The data engineering lifecycle -- Designing good data architecture -- Choosing technologies across the data engineering lifecycle -- Data generation in source systems -- Storage -- Ingestion -- Queries, modeling, and transformation -- Serving data for analytics, machine learning, and reverse ETL -- Security and privacy -- The future of data engineering.
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520
▼a 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.
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650
▼a Database design.
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650
▼a Computer architecture.
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650
▼a Database management.
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650
▼a Big data.
-
650
▼a COMPUTERS / Data Science / Data Modeling & Design.
▼2 bisacsh -
650
▼a Database management.
▼2 fast
▼0 (OCoLC)fst00888037 -
650
▼a Big data.
▼2 fast
▼0 (OCoLC)fst01892965 -
650
▼a Computer architecture.
▼2 fast
▼0 (OCoLC)fst00872026 -
650
▼a Database design.
▼2 fast
▼0 (OCoLC)fst00888032 -
700
▼a Housley, Matthew L.,
▼d 1977-,
▼e author. -
950
▼b ￡63.99
-
991
▼a 단행본
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상세정보
Fundamentals of data engineering : plan and build robust data systems First edition
QR코드| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781098108304 |
| ISBN : | 1098108302 |
| 분류기호 : | QA76.9.D26 |
| 서명/저자사항 : | Fundamentals of data engineering : plan and build robust data systems / Joe Reis , Matt Housley |
| 판사항 : | First edition |
| 발행사항 : | Sebastopol, CA : O'Reilly Media, 2022 |
| 형태사항 : | xix, 422 pages : illustrations (black and white) ; 24 cm |
| 서지주기 : | Includes bibliographical references and index. |
| 내용주기 : | Data engineering described -- The data engineering lifecycle -- Designing good data architecture -- Choosing technologies across the data engineering lifecycle -- Data generation in source systems -- Storage -- Ingestion -- Queries, modeling, and transformation -- Serving data for analytics, machine learning, and reverse ETL -- Security and privacy -- The future of data engineering. |
| 요약 : | 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. |
| 일반주제명 : | Database design. -- |
| 일반주제명 : | Computer architecture. -- |
| 일반주제명 : | Database management. -- |
| 일반주제명 : | Big data. -- |
| 일반주제명 : | COMPUTERS / Data Science / Data Modeling & Design. -- |
| 일반주제명 : | Database management. -- |
| 일반주제명 : | Big data. -- |
| 일반주제명 : | Computer architecture. -- |
| 일반주제명 : | Database design. -- |
| 개인저자 : | Housley, Matthew L., 1977-, author. |
| 언어 | 영어 |
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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