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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
O'Reilly Media, Inc, USA
2021
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492087823/?ar |
| Summary: | Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing 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 data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. 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. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting. |
| Physical Description: | 1 online resource |
| ISBN: | 9781492087809 1492087807 9781492087786 1492087785 |
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| spelling | Densmore, James VerfasserIn aut Data pipelines pocket reference moving and processing data for analytics [Place of publication not identified] O'Reilly Media, Inc, USA 2021 1 online resource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing 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 data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. 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. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting. Database management Bases de données ; Gestion 1492087831 Erscheint auch als Druck-Ausgabe 1492087831 |
| spellingShingle | Densmore, James Data pipelines pocket reference moving and processing data for analytics Database management Bases de données ; Gestion |
| title | Data pipelines pocket reference moving and processing data for analytics |
| title_auth | Data pipelines pocket reference moving and processing data for analytics |
| title_exact_search | Data pipelines pocket reference moving and processing data for analytics |
| title_full | Data pipelines pocket reference moving and processing data for analytics |
| title_fullStr | Data pipelines pocket reference moving and processing data for analytics |
| title_full_unstemmed | Data pipelines pocket reference moving and processing data for analytics |
| title_short | Data pipelines pocket reference |
| title_sort | data pipelines pocket reference moving and processing data for analytics |
| title_sub | moving and processing data for analytics |
| topic | Database management Bases de données ; Gestion |
| topic_facet | Database management Bases de données ; Gestion |
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