Data pipelines pocket reference: moving and processing data for analytic
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Sebastopol, CA
O'Reilly Media, Inc.
2021
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| Subjects: | |
| Abstract: | "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." -- |
| Item Description: | Includes index |
| Physical Description: | xi, 261 pages black and white illustrations 18 cm |
| ISBN: | paperback 9781492087830 |
Staff View
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Record in the Search Index
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| author | Densmore, James |
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| contents | 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 |
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| id | DE-604.BV048570122 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:48:44Z |
| institution | BVB |
| isbn | paperback 9781492087830 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033946168 |
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| owner_facet | DE-1043 |
| physical | xi, 261 pages black and white illustrations 18 cm |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | O'Reilly Media, Inc. |
| record_format | marc |
| spelling | Densmore, James Verfasser aut Data pipelines pocket reference moving and processing data for analytic James Densmore Sebastopol, CA O'Reilly Media, Inc. 2021 xi, 261 pages black and white illustrations 18 cm txt rdacontent n rdamedia nc rdacarrier Includes index 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 "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." -- Datenbankverwaltung (DE-588)4389357-0 gnd rswk-swf Open Source (DE-588)4548264-0 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Database management Quantitative research Information technology / Management Information retrieval Bases de données / Gestion Recherche quantitative Technologie de l'information / Gestion Recherche de l'information information retrieval Datenbankverwaltung (DE-588)4389357-0 s Quantitative Methode (DE-588)4232139-6 s Open Source (DE-588)4548264-0 s DE-604 |
| spellingShingle | Densmore, James Data pipelines pocket reference moving and processing data for analytic 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 Datenbankverwaltung (DE-588)4389357-0 gnd Open Source (DE-588)4548264-0 gnd Quantitative Methode (DE-588)4232139-6 gnd |
| subject_GND | (DE-588)4389357-0 (DE-588)4548264-0 (DE-588)4232139-6 |
| title | Data pipelines pocket reference moving and processing data for analytic |
| title_auth | Data pipelines pocket reference moving and processing data for analytic |
| title_exact_search | Data pipelines pocket reference moving and processing data for analytic |
| title_full | Data pipelines pocket reference moving and processing data for analytic James Densmore |
| title_fullStr | Data pipelines pocket reference moving and processing data for analytic James Densmore |
| title_full_unstemmed | Data pipelines pocket reference moving and processing data for analytic James Densmore |
| title_short | Data pipelines pocket reference |
| title_sort | data pipelines pocket reference moving and processing data for analytic |
| title_sub | moving and processing data for analytic |
| topic | Datenbankverwaltung (DE-588)4389357-0 gnd Open Source (DE-588)4548264-0 gnd Quantitative Methode (DE-588)4232139-6 gnd |
| topic_facet | Datenbankverwaltung Open Source Quantitative Methode |
| work_keys_str_mv | AT densmorejames datapipelinespocketreferencemovingandprocessingdataforanalytic |