Data Pipelines Pocket Reference: (Record no. 98104)
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000 -LEADER | |
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fixed length control field | 01508 a2200169 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 231122b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9788194722939 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.74015 |
Cutter | DEN |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Densmore, James |
245 ## - TITLE STATEMENT | |
Title | Data Pipelines Pocket Reference: |
Remainder of title | Moving and Processing Data for Analytics |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | Shroff Publishers & Distributors Pvt. Ltd. |
Date of publication, distribution, etc | 2021 |
Place of publication, distribution, etc | Mumbai |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 276 p. |
520 ## - Remark | |
Summary, etc | 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.<br/><br/>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.<br/><br/>You'll learn:<br/><br/>What a data pipeline is and how it works<br/>How data is moved and processed on modern data infrastructure, including cloud platforms<br/>Common tools and products used by data engineers to build pipelines<br/>How pipelines support analytics and reporting needs<br/>Considerations for pipeline maintenance, testing, and alerting |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Processing |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | Business Analytics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Programme | Full call number | Barcode | Date last seen | Cost, replacement price | Koha item type |
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Dewey Decimal Classification | Main Library | Main Library | Analytics | 29/11/2023 | 6038 | 580.00 | 005.74015 DEN | 119063 | 29/11/2023 | 725.00 | Book |