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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Alexander Dean is co-founder and technical lead of Snowplow Analytics, an open source event processing and analytics platform.
Valentin Crettaz is an independent IT consultant who's been working for the past 25 years on many different challenging projects across the globe. His expertise ranges from software engineering and architecture to data science and business intelligence. His daily job boils down to leveraging the latest and most cutting-edge web, data, and streaming technologies to implement IT solutions that will help reduce the cultural gap between IT and business people.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 8,42 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiEUR 6,02 per la spedizione da Regno Unito a Italia
Destinazione, tempi e costiDa: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3. Codice articolo G1617292346I3N10
Quantità: 1 disponibili
Da: Greener Books, London, Regno Unito
Paperback. Condizione: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books. Codice articolo 4879022
Quantità: 1 disponibili
Da: Better World Books: West, Reno, NV, U.S.A.
Condizione: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Codice articolo 51599022-75
Quantità: 1 disponibili
Da: Aspen Book Co., Denver, CO, U.S.A.
Condizione: good. A well-loved companion. Corners and cover might show a little wear, and you could find some notes or highlights. The dust jacket might be MIA, it might have been a library book and extras arenât guaranteedâ"but the storyâs all there! Codice articolo PKV.1617292346.G
Quantità: 1 disponibili
Da: SecondSale, Montgomery, IL, U.S.A.
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00085795096
Quantità: 1 disponibili
Da: SecondSale, Montgomery, IL, U.S.A.
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00084803753
Quantità: 2 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo PB-9781617292347
Quantità: 8 disponibili
Da: Speedyhen, London, Regno Unito
Condizione: NEW. Codice articolo NW9781617292347
Quantità: 1 disponibili
Da: San Francisco Book Company, Paris, Francia
Paperback. Condizione: Very good. Paperback Octavo. wraps, 319 pp Standard shipping (no tracking or insurance) / Priority (with tracking) / Custom quote for large or heavy orders. Codice articolo 103841
Quantità: 1 disponibili
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: 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 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. Codice articolo LU-9781617292347
Quantità: 10 disponibili