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Fundamentals Data Engineering Plan by Reis Joe (22 results)
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Seller: Goodwill Southern California, Los Angeles, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Paperback Book.
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paperback. Condition: 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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International EditionPaperback. Condition: USED BOOKS. Used Books ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback or Softback)
Published by O'Reilly Media 7/26/2022, 2022
ISBN 10: 1098108302 ISBN 13: 9781098108304
Language: English
Paperback or Softback. Condition: New. Fundamentals of Data Engineering: Plan and Build Robust Data Systems. Book.
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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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International Edition
Paperback. Condition: USED BOOKS. Used Books ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Condition: New. SUPER FAST SHIPPING.
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Good. 1st Edition. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 65.20
US$ 15.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Fundamentals of Data Engineering : Plan and Build Robust Data Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 65.03
US$ 19.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Fundamentals of Data Engineering : Plan and Build Robust Data Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.33
US$ 19.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Published by O'Reilly Media, United States, Sebastopol, 2022
ISBN 10: 1098108302 ISBN 13: 9781098108304
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Published by Oreilly & Associates Inc, 2022
ISBN 10: 1098108302 ISBN 13: 9781098108304
Language: English
Paperback. Condition: Brand New. 400 pages. 9.19x7.00x0.98 inches. In Stock.
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audioCD. Condition: New. Unabridged. Special order direct from the distributor.
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Fundamentals of Data Engineering : Plan and Build Robust Data Systems
Published by O'reilly Media Jul 2022, 2022
ISBN 10: 1098108302 ISBN 13: 9781098108304
Language: English
Taschenbuch. Condition: Neu. Neuware - 'Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.'--Publisher marketing.
