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TERRACE; THE STORY OF A PRAIRIE HAMLET (MINNESOTA)
Verlag: Terrace Mills Books, Terrace, MN, 1999
Anbieter: Artis Books & Antiques, Calumet, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Soft cover. Zustand: Very Good. Zustand des Schutzumschlags: No Dust Jacket. 178+pp. Photos. Map. Minnesota history. Size: 12mo - over 6?" - 7?" Tall.
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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paperback. Zustand: As New. No highlighting. Very minimal wear.
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Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New.
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Data Quality Fundamentals A Practitioners Guide to Building Trustworthy Data Pipelines
Anbieter: Lakeside Books, Benton Harbor, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines (Paperback or Softback)
Sprache: Englisch
Verlag: O'Reilly Media 10/11/2022, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback or Softback. Zustand: New. Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines. Book.
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Data Quality Fundamentals
Anbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Zustand: New. 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.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 reliability 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 pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your company's key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets.
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Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition.
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Data Quality Fundamentals
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 43,31
EUR 5,88 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 15 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New.
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Data Quality Fundamentals (Paperback)
Sprache: Englisch
Verlag: O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. 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.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 reliability 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 pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your company's key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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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.
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Data Quality Fundamentals
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 56,76
Versand gratis
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. 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.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 reliability 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 pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your company's key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets.
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Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 43,30
EUR 17,56 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 13 verfügbar
In den WarenkorbZustand: New.
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 50,68
EUR 14,02 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbZustand: New. In.
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Sprache: Englisch
Verlag: O'Reilly Media 2022-09-30, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 46,98
EUR 18,13 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 3 verfügbar
In den WarenkorbPaperback. Zustand: New.
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Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 50,93
EUR 17,56 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 13 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
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Data Quality Fundamentals
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 52,90
EUR 18,74 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 5 verfügbar
In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 66,19
EUR 14,63 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 80 pages. 9.19x7.00x0.80 inches. In Stock.
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
EUR 73,21
EUR 7,61 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 3 verfügbar
In den WarenkorbZustand: New.
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Data Quality Fundamentals: A Practitioner?s Guide to Building Trustworthy Data Pipelines
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. 2022. Paperback. . . . . .
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Zustand: New. 1st edition NO-PA16APR2015-KAP.
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Data Quality Fundamentals
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Verkäuferbewertung 5 von 5 Sternen
EUR 48,01
EUR 43,70 Versand
Versand innerhalb von USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. 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.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 reliability 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 pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your company's key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets.
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DATA QUALITY FUNDAMENTALS
Anbieter: Speedyhen, Hertfordshire, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 44,07
EUR 48,00 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbZustand: NEW.
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Data Quality Fundamentals: A Practitioner s Guide to Building Trustworthy Data Pipelines
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Zustand: New. Über 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.
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Data Quality Fundamentals (Paperback)
Sprache: Englisch
Verlag: O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. 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.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 reliability 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 pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your company's key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data Quality Fundamentals
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 52,57
EUR 76,09 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. 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.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 reliability 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 pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your company's key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets.
