Building an Event-Driven Data Mesh: Patterns for Designing & Building Event-Driv

Description: Building an Event-Driven Data Mesh by Adam Bellemare Estimated delivery 3-12 business days Format Paperback Condition Brand New Description An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh. Publisher Description The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh.Building an Event-Driven Data Mesh provides:Practical tips for iteratively building your own event-driven data mesh, including hurdles youll experience, possible solutions, and how to obtain real value as soon as possibleSolutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architecturesA clear understanding of how events relate to systems and other events in the same stream and across streamsA realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data productsBest practices for handling events at scale, privacy, and regulatory complianceAdvice on asynchronous communication and handling eventual consistency Author Biography Adam Bellemare is a Staff Technologist, Office of the CTO at Confluent. Previously, staff Engineer, Data Platform at Shopify and he was at Flipp from 2014, first as a Senior Developer, followed by a role as Staff. He has also held positions in embedded software development and quality assurance. His expertise includes: Devops (Kafka, Spark, Mesos, Zookeeper Clusters. Programmatic Building, scaling, destroying); Technical Leadership (Bringing Avro formatting to our data end-to-end, championing Kafka as the event-driven microservice bus, prototyping JRuby, Scala and Java Kafka clients and focusing on removing technical impediments to allow for product delivery); Software Development (Building microservices in Java and Scala using Spark and Kafka libraries); and Data Engineering (Reshaping the way that behavioral data is collected from user devices and shared with our Machine Learning, Billing and Analytics teams). He is the author of Building Event-Driven Microservices (2020) with OReilly Details ISBN 1098127609 ISBN-13 9781098127602 Title Building an Event-Driven Data Mesh Author Adam Bellemare Format Paperback Year 2023 Pages 275 Publisher OReilly Media GE_Item_ID:143016248; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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