{"product_id":"event-streams-in-action-alexander-dean-9781617292347","title":"Event Streams in Action: Real-Time Event Systems with Kafka and Kinesis","description":"\u003cp\u003eDESCRIPTION\u003cbr\u003eEvent Streams in Action is a foundational book introducing the ULP\u003cbr\u003eparadigm and presenting techniques to use it effectively in data-rich\u003cbr\u003eenvironments. The book begins with an architectural overview, \u003cbr\u003eillustrating how ULP addresses the thorny issues associated with\u003cbr\u003eprocessing data from multiple sources. It then guides the reader\u003cbr\u003ethrough examples using the unified log technologies Apache Kafka\u003cbr\u003eand Amazon Kinesis and a variety of stream processing frameworks\u003cbr\u003eand analytics databases. \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eReaders learn to aggregate events from\u003cbr\u003emultiple sources, store them in a unified log, and build data processing\u003cbr\u003eapplications on the resulting event streams. As readers progress\u003cbr\u003ethrough the book, they learn how to validate, filter, enrich, and store\u003cbr\u003eevent streams, master key stream processing approaches, and explore\u003cbr\u003eimportant patterns like the lambda architecture, stream aggregation, \u003cbr\u003eand event re-processing. The book also dives into the methods and\u003cbr\u003etools usable for event modelling and event analytics, along with\u003cbr\u003escaling, resiliency, and advanced stream patterns.\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eKEY FEATURES\u003c\/p\u003e \u003cp\u003e- Building data-driven applications that are easier to design, \u003cbr\u003edeploy, and maintain\u003cbr\u003e- Uses real-world examples and techniques\u003cbr\u003e- Full of figures and diagrams\u003cbr\u003e- Hands-on code samples and walkthroughs\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis book assumes that the reader has written some Java code. Some\u003cbr\u003eScala or Python experience is helpful but not required.\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eABOUT THE TECHNOLOGY\u003cbr\u003eUnified Log Processing is a coherent data processing architecture that\u003cbr\u003ecombines batch and near-real time stream data, event logging and\u003cbr\u003eaggregation, and data processing into a unified event stream. By efficiently\u003cbr\u003ecreating a single log of events from multiple data sources, Unified Log\u003cbr\u003eProcessing makes it possible to design large-scale data-driven applications\u003cbr\u003ethat are easier to design, deploy, and maintain.\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eAUTHOR BIO\u003cbr\u003eAlexander Dean is co-founder and technical lead of Snowplow Analytics, \u003cbr\u003ean open source event processing and analytics platform.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Alexander Dean\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1617292346\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781617292347\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/30\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 344\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.20lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.20h x 7.30w x 0.70d","brand":"Alexander Dean","offers":[{"title":"Paperback","offer_id":46431390302463,"sku":"9781617292347","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_4140e153-5be5-4ca7-953f-5263c67f5f04.jpg?v=1735141178","url":"https:\/\/www.whiterainbookhouse.com\/products\/event-streams-in-action-alexander-dean-9781617292347","provider":"WR Book House","version":"1.0","type":"link"}