Idioma: Inglés
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ISBN 10: 1098150767 ISBN 13: 9781098150761
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Publicado por O'Reilly Media (edition 1), 2024
ISBN 10: 1098150767 ISBN 13: 9781098150761
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Publicado por Oreilly & Associates Inc, 2024
ISBN 10: 1098150767 ISBN 13: 9781098150761
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Idioma: Inglés
Publicado por O'Reilly Media 2/7/2024, 2024
ISBN 10: 1098150767 ISBN 13: 9781098150761
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Añadir al carritoPaperback or Softback. Condición: New. Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh. Book.
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Añadir al carritoPaperback. Condición: New. Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons.In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. By reading this book, you'll:Gain a working understanding of several data architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider.
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Añadir al carritoPaperback. Condición: New. Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons.In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. By reading this book, you'll:Gain a working understanding of several data architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider.
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Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2024
ISBN 10: 1098150767 ISBN 13: 9781098150761
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Añadir al carritoPaperback. Condición: New. Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons.In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. By reading this book, you'll:Gain a working understanding of several data architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider.
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Añadir al carritopaperback. Condición: New.
Idioma: Inglés
Publicado por O'reilly Media Feb 2024, 2024
ISBN 10: 1098150767 ISBN 13: 9781098150761
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, as well as how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: - Gain a working understanding of several data architectures - Learn the strengths and weaknesses of each approach - Distinguish data architecture theory from reality - Pick the best architecture for your use case - Understand the differences between data warehouses and data lakes - Learn common data architecture concepts to help you build better solutions - Explore the historical evolution and characteristics of data architectures - Learn essentials of running an architecture design session, team organization, and project success factors Free from product discussions, this book will serve as a timeless resource for years to come. Englisch.
Idioma: Inglés
Publicado por O'reilly Media Feb 2024, 2024
ISBN 10: 1098150767 ISBN 13: 9781098150761
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 79,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, as well as how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: - Gain a working understanding of several data architectures - Learn the strengths and weaknesses of each approach - Distinguish data architecture theory from reality - Pick the best architecture for your use case - Understand the differences between data warehouses and data lakes - Learn common data architecture concepts to help you build better solutions - Explore the historical evolution and characteristics of data architectures - Learn essentials of running an architecture design session, team organization, and project success factors Free from product discussions, this book will serve as a timeless resource for years to come. Englisch.
Idioma: Inglés
Publicado por O'reilly Media Feb 2024, 2024
ISBN 10: 1098150767 ISBN 13: 9781098150761
Librería: Wegmann1855, Zwiesel, Alemania
EUR 79,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each. James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, as well as how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. With this book, you'll: - Gain a working understanding of several data architectures - Learn the strengths and weaknesses of each approach - Distinguish data architecture theory from reality - Pick the best architecture for your use case - Understand the differences between data warehouses and data lakes - Learn common data architecture concepts to help you build better solutions - Explore the historical evolution and characteristics of data architectures - Learn essentials of running an architecture design session, team organization, and project success factors Free from product discussions, this book will serve as a timeless resource for years to come.
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Añadir al carritoCondición: New. KlappentextData fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they re also surrounded by a lot of hyperbole and confu.