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Data quality fundamentals : a practitioner's guide to building trustworthy data pipelines (Record no. 541937)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01799nam a2200193Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240825s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789355421753 |
| 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 | MOS |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Moses, Barr |
| 245 #0 - TITLE STATEMENT | |
| Title | Data quality fundamentals : a practitioner's guide to building trustworthy data pipelines |
| Statement of responsibility, etc | /Barr Moses, Lior Gavish, Molly Vorwerck |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Year of publication | 2022 |
| Place of publication | Sebastopol, CA, |
| Name of publisher | O'Reilly media, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvi, 288 pages |
| Other physical details | il,; |
| Dimensions | 23 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data observability Learn how to set and maintain data SLAs, SLIs, and SLOs Develop and lead data quality initiatives at your company Learn how to treat data services and systems with the diligence of production software Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer Science Data mining |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | English Books |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1200.00 | 005.74 MOS | 692049 | 17.06.2024 | English Books | |||||
| Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1200.00 | 005.74 MOS;1 | 692050 | 17.06.2024 | English Books | 1 |