9781633435100 - architecting an apache iceberg lakehouse di merced, alex (26 risultati)
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Paperback or Softback. Condizione: New. Architecting an Apache Iceberg Lakehouse: A Scalable, Open-Source Data Platform. Book.
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Paperback. Condizione: 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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Paperback. Condizione: 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 gi…ve 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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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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Paperback. Condizione: 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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Da: Russell Books, Victoria, BC, CanadaRussell Books
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Paperback. Condizione: 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 gi…ve 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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Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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Paperback. Condizione: 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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Paperback. Condizione: 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 gi…ve 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.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 69,57
EUR 75,90 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: 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.
