9781633435100 - architecting an apache iceberg lakehouse de merced, alex (20 resultados)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de AmericaBargainBookStores
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EUR 57,46
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Paperback or Softback. Condición: New. Architecting an Apache Iceberg Lakehouse: A Scalable, Open-Source Data Platform. Book.
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 59,60
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Paperback. Condición: New. 1st. Building a data platform can be difficult, and many systems are expensive to run. When you rely on one vendor, it can be hard to change or improve your setup later. A modern data platform should be reliable, able to grow with your needs, and not tied to costly licences. Open-source tools give you…more control over how your platform works and how much you spend. This book shows a clear way to build a complete data platform using Apache Iceberg. Learn how to create a modular and scalable Iceberg Lakehouse architecture. Understand where Spark, Flink, Dremio, and Polaris fit into your design. Build reliable batch and streaming ingestion pipelines for your data. Apply strategies for governance, security, and performance at scale. Connect architectural theory with practical implementation through hands-on examples. Architecting an Apache Iceberg Lakehouse is a practical guide to designing a complete data platform. The book carefully guides you through each layer of the architecture, from storage and ingestion to governance and security. It uses hands-on examples, such as ingesting data with Apache Spark and building dashboards in Apache Superset, to illustrate key concepts. After reading this book, you will understand how to design and build a data platform that can grow with your needs. It explains the key choices you need to make when working with large amounts of data in real projects. This book is written for data architects who already know the basics of data Lakehouses and are planning a new system or moving from an existing one.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 59,76
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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paperback. Condición: New.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 65,22
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Paperback. Condición: new. Paperback. Building a data platform can be difficult, and many systems are expensive to run. When you rely on one vendor, it can be hard to change or improve your setup later. A modern data platform should be reliable, able to grow with your needs, and not tied to costly licences. Open-source tools giv…e you more control over how your platform works and how much you spend. This book shows a clear way to build a complete data platform using Apache Iceberg. Learn how to create a modular and scalable Iceberg Lakehouse architecture. Understand where Spark, Flink, Dremio, and Polaris fit into your design. Build reliable batch and streaming ingestion pipelines for your data. Apply strategies for governance, security, and performance at scale. Connect architectural theory with practical implementation through hands-on examples. Architecting an Apache Iceberg Lakehouse is a practical guide to designing a complete data platform. The book carefully guides you through each layer of the architecture, from storage and ingestion to governance and security. It uses hands-on examples, such as ingesting data with Apache Spark and building dashboards in Apache Superset, to illustrate key concepts. After reading this book, you will understand how to design and build a data platform that can grow with your needs. It explains the key choices you need to make when working with large amounts of data in real projects. This book is written for data architects who already know the basics of data Lakehouses and are planning a new system or moving from an existing one. The Lakehouse data architecture is a powerful way to combine the flexibility of data lakes with the management features of data warehouses. The open source Apache Iceberg framework delivers the scalability, reliability, and performance you want from a Lakehouse without the expense and vendor lock-in of platforms like Snowflake, BigQuery, and Redshift. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 67,33
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. 1st. Building a data platform can be difficult, and many systems are expensive to run. When you rely on one vendor, it can be hard to change or improve your setup later. A modern data platform should be reliable, able to grow with your needs, and not tied to costly licences. Open-source tools give you…more control over how your platform works and how much you spend. This book shows a clear way to build a complete data platform using Apache Iceberg. Learn how to create a modular and scalable Iceberg Lakehouse architecture. Understand where Spark, Flink, Dremio, and Polaris fit into your design. Build reliable batch and streaming ingestion pipelines for your data. Apply strategies for governance, security, and performance at scale. Connect architectural theory with practical implementation through hands-on examples. Architecting an Apache Iceberg Lakehouse is a practical guide to designing a complete data platform. The book carefully guides you through each layer of the architecture, from storage and ingestion to governance and security. It uses hands-on examples, such as ingesting data with Apache Spark and building dashboards in Apache Superset, to illustrate key concepts. After reading this book, you will understand how to design and build a data platform that can grow with your needs. It explains the key choices you need to make when working with large amounts of data in real projects. This book is written for data architects who already know the basics of data Lakehouses and are planning a new system or moving from an existing one.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 51,21
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Condición: As New. Unread book in perfect condition.
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Librería: Russell Books, Victoria, BC, CanadaRussell Books
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EUR 65,18
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paperback. Condición: New. Special order direct from the distributor.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 72,04
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Condición: New. 2026. 1st Edition. paperback. . . . . .
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 70,00
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Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 79,48
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Paperback. Condición: Brand New. 250 pages. 7.38x1.02x9.25 inches. In Stock.
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 89,45
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Condición: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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EUR 68,60
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Paperback. Condición: New. 1st. Building a data platform can be difficult, and many systems are expensive to run. When you rely on one vendor, it can be hard to change or improve your setup later. A modern data platform should be reliable, able to grow with your needs, and not tied to costly licences. Open-source tools give you…more control over how your platform works and how much you spend. This book shows a clear way to build a complete data platform using Apache Iceberg. Learn how to create a modular and scalable Iceberg Lakehouse architecture. Understand where Spark, Flink, Dremio, and Polaris fit into your design. Build reliable batch and streaming ingestion pipelines for your data. Apply strategies for governance, security, and performance at scale. Connect architectural theory with practical implementation through hands-on examples. Architecting an Apache Iceberg Lakehouse is a practical guide to designing a complete data platform. The book carefully guides you through each layer of the architecture, from storage and ingestion to governance and security. It uses hands-on examples, such as ingesting data with Apache Spark and building dashboards in Apache Superset, to illustrate key concepts. After reading this book, you will understand how to design and build a data platform that can grow with your needs. It explains the key choices you need to make when working with large amounts of data in real projects. This book is written for data architects who already know the basics of data Lakehouses and are planning a new system or moving from an existing one.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 75,97
Envío por EUR 43,32Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Building a data platform can be difficult, and many systems are expensive to run. When you rely on one vendor, it can be hard to change or improve your setup later. A modern data platform should be reliable, able to grow with your needs, and not tied to costly licences. Open-source tools giv…e you more control over how your platform works and how much you spend. This book shows a clear way to build a complete data platform using Apache Iceberg. Learn how to create a modular and scalable Iceberg Lakehouse architecture. Understand where Spark, Flink, Dremio, and Polaris fit into your design. Build reliable batch and streaming ingestion pipelines for your data. Apply strategies for governance, security, and performance at scale. Connect architectural theory with practical implementation through hands-on examples. Architecting an Apache Iceberg Lakehouse is a practical guide to designing a complete data platform. The book carefully guides you through each layer of the architecture, from storage and ingestion to governance and security. It uses hands-on examples, such as ingesting data with Apache Spark and building dashboards in Apache Superset, to illustrate key concepts. After reading this book, you will understand how to design and build a data platform that can grow with your needs. It explains the key choices you need to make when working with large amounts of data in real projects. This book is written for data architects who already know the basics of data Lakehouses and are planning a new system or moving from an existing one. The Lakehouse data architecture is a powerful way to combine the flexibility of data lakes with the management features of data warehouses. The open source Apache Iceberg framework delivers the scalability, reliability, and performance you want from a Lakehouse without the expense and vendor lock-in of platforms like Snowflake, BigQuery, and Redshift. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 66,66
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Taschenbuch. Condición: Neu. Neuware.
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 69,76
Envío por EUR 76,11Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: New. 1st. Building a data platform can be difficult, and many systems are expensive to run. When you rely on one vendor, it can be hard to change or improve your setup later. A modern data platform should be reliable, able to grow with your needs, and not tied to costly licences. Open-source tools give you…more control over how your platform works and how much you spend. This book shows a clear way to build a complete data platform using Apache Iceberg. Learn how to create a modular and scalable Iceberg Lakehouse architecture. Understand where Spark, Flink, Dremio, and Polaris fit into your design. Build reliable batch and streaming ingestion pipelines for your data. Apply strategies for governance, security, and performance at scale. Connect architectural theory with practical implementation through hands-on examples. Architecting an Apache Iceberg Lakehouse is a practical guide to designing a complete data platform. The book carefully guides you through each layer of the architecture, from storage and ingestion to governance and security. It uses hands-on examples, such as ingesting data with Apache Spark and building dashboards in Apache Superset, to illustrate key concepts. After reading this book, you will understand how to design and build a data platform that can grow with your needs. It explains the key choices you need to make when working with large amounts of data in real projects. This book is written for data architects who already know the basics of data Lakehouses and are planning a new system or moving from an existing one.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 117,56
Envío por EUR 32,52Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Building a data platform can be difficult, and many systems are expensive to run. When you rely on one vendor, it can be hard to change or improve your setup later. A modern data platform should be reliable, able to grow with your needs, and not tied to costly licences. Open-source tools giv…e you more control over how your platform works and how much you spend. This book shows a clear way to build a complete data platform using Apache Iceberg. Learn how to create a modular and scalable Iceberg Lakehouse architecture. Understand where Spark, Flink, Dremio, and Polaris fit into your design. Build reliable batch and streaming ingestion pipelines for your data. Apply strategies for governance, security, and performance at scale. Connect architectural theory with practical implementation through hands-on examples. Architecting an Apache Iceberg Lakehouse is a practical guide to designing a complete data platform. The book carefully guides you through each layer of the architecture, from storage and ingestion to governance and security. It uses hands-on examples, such as ingesting data with Apache Spark and building dashboards in Apache Superset, to illustrate key concepts. After reading this book, you will understand how to design and build a data platform that can grow with your needs. It explains the key choices you need to make when working with large amounts of data in real projects. This book is written for data architects who already know the basics of data Lakehouses and are planning a new system or moving from an existing one. The Lakehouse data architecture is a powerful way to combine the flexibility of data lakes with the management features of data warehouses. The open source Apache Iceberg framework delivers the scalability, reliability, and performance you want from a Lakehouse without the expense and vendor lock-in of platforms like Snowflake, BigQuery, and Redshift. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
