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TERRACE; THE STORY OF A PRAIRIE HAMLET (MINNESOTA)
Published by Terrace Mills Books, Terrace, MN, 1999
Soft cover. Condition: Very Good. Dust Jacket Condition: 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
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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paperback. Condition: As New. No highlighting. Very minimal wear.
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Condition: 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)
Language: English
Published by O'Reilly Media 10/11/2022, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
Paperback or Softback. Condition: New. Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines. Book.
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Paperback. Condition: 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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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Data Quality Fundamentals
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: 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
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Fine.
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Data Quality Fundamentals (Paperback)
Language: English
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
Paperback. Condition: 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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Data Quality Fundamentals
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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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Condition: as new. Wie neu/Like new.
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Condition: 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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Condition: As New. Unread book in perfect condition.
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Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 49.69
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Ships from United Kingdom to U.S.A.Quantity: 13 available
Add to basketCondition: New.
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Condition: NEW.
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 57.74
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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Language: English
Published by O'Reilly Media 2022-09-30, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
US$ 53.91
US$ 20.81 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketPaperback. Condition: New.
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Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 59.12
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Ships from United Kingdom to U.S.A.Quantity: 13 available
Add to basketCondition: As New. Unread book in perfect condition.
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Data Quality Fundamentals
Language: English
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 60.71
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback / softback. Condition: 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
Language: English
Published by Oreilly & Associates Inc, 2022
ISBN 10: 1098112040 ISBN 13: 9781098112042
US$ 75.51
US$ 16.79 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: 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
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2022. Paperback. . . . . .
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Paperback. Condition: 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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Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: NEW.
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Condition: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Condition: 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.
