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Idioma: Inglés
Publicado por O'Reilly Media 11/21/2023, 2023
ISBN 10: 1098139720 ISBN 13: 9781098139728
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 44,89
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Añadir al carritoPaperback or Softback. Condición: New. Delta Lake: Up and Running: Modern Data Lakehouse Architectures with Delta Lake. Book.
EUR 46,15
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 45,47
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EUR 42,89
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Librería: California Books, Miami, FL, Estados Unidos de America
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EUR 50,40
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Añadir al carritoPaperback. Condición: New. With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS.This practical book shows data engineers, data scientists, and data analysts how to get Delta Lake and its features up and running. The ultimate goal of building data pipelines and applications is to gain insights from data. You'll understand how your storage solution choice determines the robustness and performance of the data pipeline, from raw data to insights.You'll learn how to:Use modern data management and data engineering techniquesUnderstand how ACID transactions bring reliability to data lakes at scaleRun streaming and batch jobs against your data lake concurrentlyExecute update, delete, and merge commands against your data lakeUse time travel to roll back and examine previous data versionsBuild a streaming data quality pipeline following the medallion architecture.
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098139720 ISBN 13: 9781098139728
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 52,98
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Añadir al carritoPaperback. Condición: new. Paperback. With the rapid growth of big data and AI, organizations are quickly building data products and solutions in an ad-hoc manner. But as these data organizations mature, it's apparent that their analysis and machine learning models are only as reliable as the data they're built upon. The solution? Delta Lake, an open-source format that enables building a lakehouse architecture on top of existing storage systems such as S3, ADLS, and GCS. In this practical book, author Bennie Haelen shows data engineers, data scientists, and data analysts how to get Delta Lake and its unique features up and running. The ultimate goal of building data pipelines and applications is to query processed data and gain insights from it. You'll learn how the choice of storage solution determines the robustness and performance of the data pipeline, from raw data to insights. With this book, you will: Use modern data management and data engineering techniques Understand how ACID transactions bring reliability to data lakes at scale Run streaming and batch jobs against your data lake concurrently Execute update, delete, and merge commands against your data lake Use time travel to roll back and examine previous versions of your data Build a streaming data quality pipeline following the medallion architecture With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 55,21
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Añadir al carritoPaperback. Condición: New. With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS.This practical book shows data engineers, data scientists, and data analysts how to get Delta Lake and its features up and running. The ultimate goal of building data pipelines and applications is to gain insights from data. You'll understand how your storage solution choice determines the robustness and performance of the data pipeline, from raw data to insights.You'll learn how to:Use modern data management and data engineering techniquesUnderstand how ACID transactions bring reliability to data lakes at scaleRun streaming and batch jobs against your data lake concurrentlyExecute update, delete, and merge commands against your data lakeUse time travel to roll back and examine previous data versionsBuild a streaming data quality pipeline following the medallion architecture.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 47,12
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EUR 50,18
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Idioma: Inglés
Publicado por O'Reilly Media 2023-10-27, 2023
ISBN 10: 1098139720 ISBN 13: 9781098139728
Librería: Chiron Media, Wallingford, Reino Unido
EUR 46,29
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EUR 50,45
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EUR 52,38
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2023
ISBN 10: 1098139720 ISBN 13: 9781098139728
Librería: Revaluation Books, Exeter, Reino Unido
EUR 65,23
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Añadir al carritoPaperback. Condición: Brand New. 250 pages. 9.19x7.00x0.56 inches. In Stock.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 67,92
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Añadir al carritoCondición: New. 2023. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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EUR 71,57
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,12
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Añadir al carritoCondición: NEW.
EUR 52,32
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Añadir al carritoPaperback. Condición: New. With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS.This practical book shows data engineers, data scientists, and data analysts how to get Delta Lake and its features up and running. The ultimate goal of building data pipelines and applications is to gain insights from data. You'll understand how your storage solution choice determines the robustness and performance of the data pipeline, from raw data to insights.You'll learn how to:Use modern data management and data engineering techniquesUnderstand how ACID transactions bring reliability to data lakes at scaleRun streaming and batch jobs against your data lake concurrentlyExecute update, delete, and merge commands against your data lakeUse time travel to roll back and examine previous data versionsBuild a streaming data quality pipeline following the medallion architecture.
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098139720 ISBN 13: 9781098139728
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 85,73
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. With the rapid growth of big data and AI, organizations are quickly building data products and solutions in an ad-hoc manner. But as these data organizations mature, it's apparent that their analysis and machine learning models are only as reliable as the data they're built upon. The solution? Delta Lake, an open-source format that enables building a lakehouse architecture on top of existing storage systems such as S3, ADLS, and GCS. In this practical book, author Bennie Haelen shows data engineers, data scientists, and data analysts how to get Delta Lake and its unique features up and running. The ultimate goal of building data pipelines and applications is to query processed data and gain insights from it. You'll learn how the choice of storage solution determines the robustness and performance of the data pipeline, from raw data to insights. With this book, you will: Use modern data management and data engineering techniques Understand how ACID transactions bring reliability to data lakes at scale Run streaming and batch jobs against your data lake concurrently Execute update, delete, and merge commands against your data lake Use time travel to roll back and examine previous versions of your data Build a streaming data quality pipeline following the medallion architecture With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 51,13
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS.This practical book shows data engineers, data scientists, and data analysts how to get Delta Lake and its features up and running. The ultimate goal of building data pipelines and applications is to gain insights from data. You'll understand how your storage solution choice determines the robustness and performance of the data pipeline, from raw data to insights.You'll learn how to:Use modern data management and data engineering techniquesUnderstand how ACID transactions bring reliability to data lakes at scaleRun streaming and batch jobs against your data lake concurrentlyExecute update, delete, and merge commands against your data lakeUse time travel to roll back and examine previous data versionsBuild a streaming data quality pipeline following the medallion architecture.
Idioma: Inglés
Publicado por O'reilly Media Nov 2023, 2023
ISBN 10: 1098139720 ISBN 13: 9781098139728
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 71,73
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware - With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2023
ISBN 10: 1098139720 ISBN 13: 9781098139728
Librería: Revaluation Books, Exeter, Reino Unido
EUR 59,77
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 250 pages. 9.19x7.00x0.56 inches. In Stock. This item is printed on demand.