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In den WarenkorbZustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Verlag: O'Reilly Media (edition 1), 2021
ISBN 10: 1492062413 ISBN 13: 9781492062417
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
EUR 10,12
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In den WarenkorbPaperback. Zustand: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.01.
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EUR 22,28
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In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
EUR 35,80
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 33,55
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 37,17
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.
EUR 38,80
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In den WarenkorbPaperback. Zustand: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 37,73
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In den WarenkorbZustand: New. In.
Anbieter: BargainBookStores, Grand Rapids, MI, USA
EUR 33,07
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In den WarenkorbPaperback or Softback. Zustand: New. 97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts 0.79. Book.
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In den WarenkorbZustand: New. 2021. Paperback. . . . . .
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EUR 36,95
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In den WarenkorbZustand: New.
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 43,80
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In den WarenkorbPaperback. Zustand: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.
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EUR 39,57
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 526.
Anbieter: GreatBookPrices, Columbia, MD, USA
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In den WarenkorbZustand: New.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 32,19
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Verlag: O'Reilly Media, Inc, USA 2021-06-25, 2021
ISBN 10: 1492062413 ISBN 13: 9781492062417
Sprache: Englisch
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 35,04
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In den WarenkorbPaperback. Zustand: New.
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EUR 47,91
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In den WarenkorbPaperback. Zustand: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 32,88
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In den WarenkorbZustand: New.
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EUR 50,59
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - 'Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.'.
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 51,11
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In den WarenkorbZustand: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
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EUR 43,57
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In den WarenkorbZustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 38,13
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
EUR 52,19
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In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 48,44
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In den WarenkorbPaperback. Zustand: Brand New. 250 pages. 9.00x6.00x0.55 inches. In Stock.
Anbieter: Goodwill Books, Hillsboro, OR, USA
EUR 8,58
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In den WarenkorbZustand: Good. Signs of wear and consistent use.
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EUR 11,95
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In den WarenkorbZustand: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Anbieter: Lakeside Books, Benton Harbor, MI, USA
EUR 29,51
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In den WarenkorbZustand: 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!
Verlag: O'Reilly Media, Sebastopol, 2021
ISBN 10: 1492062413 ISBN 13: 9781492062417
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
EUR 63,61
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: new. Paperback. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, StitchFix, Microsoft and Capital One share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Anbieter: Lucky's Textbooks, Dallas, TX, USA
EUR 32,66
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In den WarenkorbZustand: New.