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000 -LEADER | |
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fixed length control field | 01969nam a2200205Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240825s9999 xx 000 0 und d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789355421548 |
Paper back/Hardbound | pbk |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.74 |
Item number | REI |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Reis, Joe |
245 #0 - TITLE STATEMENT | |
Title | Fundamentals of data engineering : plan and build robust data systems |
Statement of responsibility, etc | / Joe Reis, Matthew L. Housley |
250 ## - EDITION STATEMENT | |
Edition statement | 1st edition |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Year of publication | 2023 |
Place of publication | Beijing [China], |
Name of publisher | O'Reilly, |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xix, 422 pages : |
Other physical details | black and white illustrations ; |
Dimensions | 23 cm |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc | Includes index |
520 ## - SUMMARY, ETC. | |
Summary, etc | "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."-- Back cover<br/> |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer Science Big data COMPUTERS / Data Science / Data Modeling & Design Computer architecture Database design |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Reference |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Price effective from | Koha item type | Copy number |
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Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1750.00 | 005.74 REI | 692138 | 17.06.2024 | Reference | |||||
Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1750.00 | 005.74 REI;1 | 692139 | 17.06.2024 | English Books | 1 |