9781617292347 - event streams in action: real-time event systems with kafka and kinesis de alexander dean; valentin crettaz (30 resultados)

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Editorial: Manning Publications, 2019
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Editorial: Manning Publications, 2019
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Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Idioma: Inglés
Editorial: Manning Publications, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Editorial: Manning Publications, 2019
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Idioma: Inglés
Editorial: Manning Publications, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Idioma: Inglés
Editorial: Simon and Schuster, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Idioma: Inglés
Editorial: Simon and Schuster, 2019
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Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Idioma: Inglés
Editorial: Manning Publications, US, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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Paperback. Condición: New. DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from multiple so…urces. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, resiliency, and advanced stream patterns. KEY FEATURES . Building data-driven applications that are easier to design,deploy, and maintain. Uses real-world examples and techniques. Full of figures and diagrams. Hands-on code samples and walkthroughs This book assumes that the reader has written some Java code. SomeScala or Python experience is helpful but not required. ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain. AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform.

Idioma: Inglés
Editorial: Pearson Education, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Idioma: Inglés
Editorial: Manning Publications, New York, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Paperback. Condición: new. Paperback. DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from…multiple sources. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, resiliency, and advanced stream patterns. KEY FEATURES Building data-driven applications that are easier to design,deploy, and maintain Uses real-world examples and techniques Full of figures and diagrams Hands-on code samples and walkthroughs This book assumes that the reader has written some Java code. SomeScala or Python experience is helpful but not required. ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain. AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de AmericaRomtrade Corp.
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Idioma: Inglés
Editorial: Manning, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Editorial: Manning Pubns Co, 2019
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Paperback. Condición: Brand New. pap/psc edition. 319 pages. 9.25x7.50x0.75 inches. In Stock.

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Editorial: Manning, Shelter Island, NY, 2019
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Editorial: PEARSON, 2019
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Más imágenesIdioma: Inglés
Editorial: Manning Publications, US, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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Paperback. Condición: New. DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from multiple so…urces. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, resiliency, and advanced stream patterns. KEY FEATURES . Building data-driven applications that are easier to design,deploy, and maintain. Uses real-world examples and techniques. Full of figures and diagrams. Hands-on code samples and walkthroughs This book assumes that the reader has written some Java code. SomeScala or Python experience is helpful but not required. ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain. AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform.

Idioma: Inglés
Editorial: Manning Publications, New York, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condición: new. Paperback. DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from…multiple sources. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, resiliency, and advanced stream patterns. KEY FEATURES Building data-driven applications that are easier to design,deploy, and maintain Uses real-world examples and techniques Full of figures and diagrams Hands-on code samples and walkthroughs This book assumes that the reader has written some Java code. SomeScala or Python experience is helpful but not required. ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain. AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Idioma: Inglés
Editorial: Manning Publications Mai 2019, 2019
Serie: In Action, Libro 122 de 182. Libro 122 de 182 - In Action
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 66,37
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Taschenbuch. Condición: Neu. Neuware - DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from… multiple sources. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, resiliency, and advanced stream patterns.KEY FEATURES Building data-driven applications that are easier to design,deploy, and maintain Uses real-world examples and techniques Full of figures and diagrams Hands-on code samples and walkthroughsThis book assumes that the reader has written some Java code. SomeScala or Python experience is helpful but not required.ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain.AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform.

Editorial: Manning Publications Company
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Editorial: Manning Publications Company
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Editorial: Manning Publications Company
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Editorial: Manning, 2019
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Condición: New. Über den AutorAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform.KlappentextKEY FEATURES•.