Isbn: 9781098112042 - data quality fundamentals: a practitioner's guide to building trustworthy data pipelines (14 Ergebnisse)

Paperback. Zustand: Good. Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset 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 any of the questions above, this book is for you.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: New. In English.

Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 80 pages. 9.19x7.00x0.80 inches. In Stock.

Zustand: New.

Zustand: NEW.

Taschenbuch. Zustand: Neu. Neuware - 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.…

Kartoniert / Broschiert. Zustand: New. &Uumlber den AutorBarr Moses is the CEO and co-founder of Monte Carlo, a data reliability company. In her decade-long career in data, Barr has served as commander of a data intelligence unit in the Israeli Air Force, a consultant at Bai.

paperback. Zustand: Sehr gut. 300 Seiten; 9781098112042.2 Gewicht in Gramm: 2.

Taschenbuch. Zustand: Neu. Data Quality Fundamentals | A Practitioner's Guide to Building Trustworthy Data Pipelines | Barr Moses (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | O'Reilly Media | EAN 9781098112042 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Zustand: gut. 2022. Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines In englischer Sprache. pages.