{"product_id":"data-engineering-design-patterns-recipes-for-solving-the-most-common-data-engineering-problems-paperback","title":"Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eBartosz Konieczny\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eData projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more. \u003c\/p\u003e\u003cp\u003eAuthor Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios. \u003c\/p\u003e\u003cp\u003eThroughout this journey, you'll use open source data tools and public cloud services to apply each pattern. You'll learn: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eChallenges data engineers face and their impact on data systems \u003c\/li\u003e\n\u003cli\u003eHow these challenges relate to data system components \u003c\/li\u003e\n\u003cli\u003eUseful applications of data engineering patterns \u003c\/li\u003e\n\u003cli\u003eHow to identify and fix issues with your current data components \u003c\/li\u003e\n\u003cli\u003eTechnology-agnostic solutions to new and existing data projects, with open source implementation examples \u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eBartosz Konieczny is a freelance data engineer who's been coding since 2010. He's held various senior hands-on positions that allowed him to work on many data engineering problems in batch and stream processing.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 372\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.77 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 20, 2025\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43156297973823,"sku":"9781098165819","price":103.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/Ga3NN2c-G59781098165819.webp?v=1776971110","url":"https:\/\/dhlswag.com\/products\/data-engineering-design-patterns-recipes-for-solving-the-most-common-data-engineering-problems-paperback","provider":"BBB","version":"1.0","type":"link"}