소장자료
| LDR | 02540cam a2200000 a | ||
| 001 | 0100544526▲ | ||
| 003 | OCoLC▲ | ||
| 005 | 20221230140321▲ | ||
| 007 | ta ▲ | ||
| 008 | 201028s2021 caua 001 0 eng d▲ | ||
| 020 | ▼a1492087831▲ | ||
| 020 | ▼a9781492087830▲ | ||
| 035 | ▼a(OCoLC)1202056809▲ | ||
| 040 | ▼a221016▼c221016▲ | ||
| 082 | 0 | 4 | ▼a005.74▼223▲ |
| 090 | ▼a005.74▼bD413d▲ | ||
| 100 | 1 | ▼aDensmore, James.▲ | |
| 245 | 1 | 0 | ▼aData pipelines pocket reference :▼bmoving and processing data for analytic /▼cJames Densmore▲ |
| 260 | ▼aSebastopol, CA :▼bO'Reilly Media, Inc.,▼c2021.▲ | ||
| 300 | ▼axi, 261 p. :▼bill. ;▼c18 cm▲ | ||
| 500 | ▼aIncludes index.▲ | ||
| 505 | 0 | ▼aIntroduction to data pipelines -- A modern data infrastructure -- Common data pipeline patterns -- Data ingestion: extracting data -- Data ingestion: loading data -- Transforming data -- Orchestration pipelines -- Data validation in pipelines -- Best practices for maintaining pipelines -- Measuring and monitoring pipeline performance.▲ | |
| 520 | ▼a"Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions." --▼cProvided by publisher.▲ | ||
| 650 | 0 | ▼aDatabase management.▲ | |
| 650 | 0 | ▼aQuantitative research.▲ | |
| 650 | 0 | ▼aInformation technology▼xManagement.▲ | |
| 650 | 0 | ▼aInformation retrieval.▲ |
Data pipelines pocket reference : moving and processing data for analytic
자료유형
국외단행본
서명/책임사항
Data pipelines pocket reference : moving and processing data for analytic / James Densmore
개인저자
발행사항
Sebastopol, CA : O'Reilly Media, Inc. , 2021.
형태사항
xi, 261 p. : ill. ; 18 cm
일반주기
Includes index.
내용주기
Introduction to data pipelines -- A modern data infrastructure -- Common data pipeline patterns -- Data ingestion: extracting data -- Data ingestion: loading data -- Transforming data -- Orchestration pipelines -- Data validation in pipelines -- Best practices for maintaining pipelines -- Measuring and monitoring pipeline performance.
요약주기
"Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions." -- Provided by publisher.
주제
ISBN
1492087831 9781492087830
청구기호
005.74 D413d
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