Shiyan xu (65 resultados)

Condición: New.

Paperback or Softback. Condición: New. Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses. Book.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: New. Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice.Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.This book helps you:Understand the need for transactional data lakehouses and the challenges associated with building themGet up to speed with Apache Hudi and learn how it makes building data lakehouses easyExplore data ecosystem support provided by Apache Hudi for popular data sources and query enginesPerform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applicationsImplement data engineering techniques to operate and manage Apache Hudi tablesApply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performanceBuild end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics.…

Condición: As New. Unread book in perfect condition.

Condición: New.

paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condición: New. Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice.Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.This book helps you:Understand the need for transactional data lakehouses and the challenges associated with building themGet up to speed with Apache Hudi and learn how it makes building data lakehouses easyExplore data ecosystem support provided by Apache Hudi for popular data sources and query enginesPerform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applicationsImplement data engineering techniques to operate and manage Apache Hudi tablesApply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performanceBuild end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics.…

Paperback. Condición: new. Paperback. Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice.Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.This book helps you:Understand the need for transactional data lakehouses and the challenges associated with building themGet up to speed with Apache Hudi and learn how it makes building data lakehouses easyExplore data ecosystem support provided by Apache Hudi for popular data sources and query enginesPerform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applicationsImplement data engineering techniques to operate and manage Apache Hudi tablesApply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performanceBuild end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: new.

Condición: New.

Condición: New. 2025. paperback. . . . . .

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Condición: As New. Unread book in perfect condition.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. 1st edition NO-PA16APR2015-KAP.

Condición: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

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Paperback. Condición: Brand New. 350 pages. 9.19x7.00x9.19 inches. In Stock.

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Condición: New. pp. 120.

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Paperback. Condición: new. Paperback. Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice.Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.This book helps you:Understand the need for transactional data lakehouses and the challenges associated with building themGet up to speed with Apache Hudi and learn how it makes building data lakehouses easyExplore data ecosystem support provided by Apache Hudi for popular data sources and query enginesPerform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applicationsImplement data engineering techniques to operate and manage Apache Hudi tablesApply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performanceBuild end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: New. Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice.Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.This book helps you:Understand the need for transactional data lakehouses and the challenges associated with building themGet up to speed with Apache Hudi and learn how it makes building data lakehouses easyExplore data ecosystem support provided by Apache Hudi for popular data sources and query enginesPerform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applicationsImplement data engineering techniques to operate and manage Apache Hudi tablesApply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performanceBuild end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics.…

Kartoniert / Broschiert. Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Neuware - Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using your query engine of choice. Authors Shiyan Xu, Prashant Wason, Bhavani Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications. - Understand the need for transactional data lakehouses and the challenges associated with building them - Explore data ecosystem support provided by Apache Hudi for popular data sources and query engines - Perform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applications - Apply different storage techniques and considerations such as indexing and clustering to maximize your lakehouse performance - Build end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics.…

Paperback. Condición: new. Paperback. Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice.Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.This book helps you:Understand the need for transactional data lakehouses and the challenges associated with building themGet up to speed with Apache Hudi and learn how it makes building data lakehouses easyExplore data ecosystem support provided by Apache Hudi for popular data sources and query enginesPerform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applicationsImplement data engineering techniques to operate and manage Apache Hudi tablesApply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performanceBuild end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…