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Event Streams in Action: Real-time event systems with Kafka and Kinesis
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eBay-Artikelnr.:296978383239
Artikelmerkmale
- Artikelzustand
- ISBN
- 9781617292347
Über dieses Produkt
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1617292346
ISBN-13
9781617292347
eBay Product ID (ePID)
224011656
Product Key Features
Number of Pages
344 Pages
Language
English
Publication Name
Event Streams in Action : Real-Time Event Systems with Kafka and Kinesis
Publication Year
2019
Subject
General, Data Processing
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.8 in
Item Weight
23.3 Oz
Item Length
9.2 in
Item Width
7.4 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2019-285196
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.312
Synopsis
Summary Event Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Many high-profile applications, like LinkedIn and Netflix, deliver nimble, responsive performance by reacting to user and system events as they occur. In large-scale systems, this requires efficiently monitoring, managing, and reacting to multiple event streams. Tools like Kafka, along with innovative patterns like unified log processing, help create a coherent data processing architecture for event-based applications. About the Book Event Streams in Action teaches you techniques for aggregating, storing, and processing event streams using the unified log processing pattern. In this hands-on guide, you'll discover important application designs like the lambda architecture, stream aggregation, and event reprocessing. You'll also explore scaling, resiliency, advanced stream patterns, and much more! By the time you're finished, you'll be designing large-scale data-driven applications that are easier to build, deploy, and maintain. What's inside Validating and monitoring event streams Event analytics Methods for event modeling Examples using Apache Kafka and Amazon Kinesis About the Reader For readers with experience coding in Java, Scala, or Python. About the Author Alexander Dean developed Snowplow, an open source event processing and analytics platform. Valentin Crettaz is an independent IT consultant with 25 years of experience. Table of Contents PART 1 - EVENT STREAMS AND UNIFIED LOGS Introducing event streams The unified log 24 Event stream processing with Apache Kafka Event stream processing with Amazon Kinesis Stateful stream processing PART 2- DATA ENGINEERING WITH STREAMS Schemas Archiving events Railway-oriented processing Commands PART 3 - EVENT ANALYTICS Analytics-on-read Analytics-on-write, 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 AUDIENCE This book assumes that the reader has written some Java code. Some Scala or Python experience is helpful but not required., 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., Summary Event Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Many high-profile applications, like LinkedIn and Netflix, deliver nimble, responsive performance by reacting to user and system events as they occur. In large-scale systems, this requires efficiently monitoring, managing, and reacting to multiple event streams. Tools like Kafka, along with innovative patterns like unified log processing, help create a coherent data processing architecture for event-based applications. About the Book Event Streams in Action teaches you techniques for aggregating, storing, and processing event streams using the unified log processing pattern. In this hands-on guide, you'll discover important application designs like the lambda architecture, stream aggregation, and event reprocessing. You'll also explore scaling, resiliency, advanced stream patterns, and much more By the time you're finished, you'll be designing large-scale data-driven applications that are easier to build, deploy, and maintain. What's inside Validating and monitoring event streams Event analytics Methods for event modeling Examples using Apache Kafka and Amazon Kinesis About the Reader For readers with experience coding in Java, Scala, or Python. About the Author Alexander Dean developed Snowplow, an open source event processing and analytics platform. Valentin Crettaz is an independent IT consultant with 25 years of experience. Table of Contents PART 1 - EVENT STREAMS AND UNIFIED LOGS Introducing event streams The unified log 24 Event stream processing with Apache Kafka Event stream processing with Amazon Kinesis Stateful stream processing PART 2- DATA ENGINEERING WITH STREAMS Schemas Archiving events Railway-oriented processing Commands PART 3 - EVENT ANALYTICS Analytics-on-read Analytics-on-write, DESCRIPTION Event Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments. The book begins with an architectural overview, illustrating how ULP addresses the thorny issues associated with processing data from multiple sources. It then guides the reader through examples using the unified log technologies Apache Kafka and Amazon Kinesis and a variety of stream processing frameworks and analytics databases. Readers learn to aggregate events from multiple sources, store them in a unified log, and build data processing applications on the resulting event streams. As readers progress through the book, they learn how to validate, filter, enrich, and store event streams, master key stream processing approaches, and explore important patterns like the lambda architecture, stream aggregation, and event re-processing. The book also dives into the methods and tools usable for event modelling and event analytics, along with scaling, 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. Some Scala or Python experience is helpful but not required. ABOUT THE TECHNOLOGY Unified Log Processing is a coherent data processing architecture that combines batch and near-real time stream data, event logging and aggregation, and data processing into a unified event stream. By efficiently creating a single log of events from multiple data sources, Unified Log Processing makes it possible to design large-scale data-driven applications that are easier to design, deploy, and maintain. AUTHOR BIO Alexander Dean is co-founder and technical lead of Snowplow Analytics, an open source event processing and analytics platform.
LC Classification Number
QA76.9.D3385
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- j***s (1109)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufJust as described, great condition, great packaging, good price, thanks so much, oh & I think you gave me the wrong tracking number, as this just came today July 28th, the one I got came last week in another part of NY, thanks though, A+++ Seller :)Predator by Ed Brisson Vol. 2: The Preserve by Ed Brisson, Netho Diaz (Nr. 305343383283)
- o***o (247)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufCouldn’t believe the price I was able to get this masterpiece for. Seller was fantastic; not only was the shipping unbeatable, the packing and communication was top notch!!! Seller gets 5 ⭐️’s across the board💯
- y***g (1204)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufThe book is charming -- and new condition as shown. This is a hard to find item, so glad to find it new here for a reasonable price! It arrived quickly, but was packed in a mailing envelope -- and even though it was padded, one of corner was crushed, which was disappointing as this is to be a gift. Overall postive, nonetheless.Maddie on Things: A Super Serious Project About Dogs and Physics (Nr. 297426162593)
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Booksxpress
96,6% positive Bewertungen•43 Tsd. Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (12'424)
- j***s (1109)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufJust as described, great condition, great packaging, good price, thanks so much, oh & I think you gave me the wrong tracking number, as this just came today July 28th, the one I got came last week in another part of NY, thanks though, A+++ Seller :)Predator by Ed Brisson Vol. 2: The Preserve by Ed Brisson, Netho Diaz (Nr. 305343383283)
- o***o (247)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufCouldn’t believe the price I was able to get this masterpiece for. Seller was fantastic; not only was the shipping unbeatable, the packing and communication was top notch!!! Seller gets 5 ⭐️’s across the board💯
- y***g (1204)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufThe book is charming -- and new condition as shown. This is a hard to find item, so glad to find it new here for a reasonable price! It arrived quickly, but was packed in a mailing envelope -- and even though it was padded, one of corner was crushed, which was disappointing as this is to be a gift. Overall postive, nonetheless.Maddie on Things: A Super Serious Project About Dogs and Physics (Nr. 297426162593)