{"product_id":"9781098165819-data-engineering-design-patterns","title":"Data Engineering Design Patterns","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eRecipes for Solving the Most Common Data Engineering Problems\u003cbr\u003eThis hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, and idempotency. Bartosz Konieczny shows you how to of build reliable end-to-end data engineering projects, from data ingestion to data observability.\u003cbr\u003e\u003cp\u003eData projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies are still trying to solve 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\n\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\n\u003cp\u003eThroughout this journey, you'll use open source data tools and public cloud services to see how to put each pattern into practice. You'll learn:\u003c\/p\u003e\n\u003cul\u003e\n\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\u003eWhat data engineering patterns are for\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\u003c\/li\u003e\n\u003cli\u003eHow to implement patterns with Apache Airflow, Apache Spark, Apache Flink, and Delta Lake\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eBartosz Konieczny is a freelance data engineer who's been coding for more than 15 years. He's held various senior hands-on positions that helped him work on many data engineering problems in batch and stream processing.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":55595725128054,"sku":"9781098165819","price":54.01,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_33975443.jpg?v=1746421542","url":"https:\/\/www.rarewaves.com\/products\/9781098165819-data-engineering-design-patterns","provider":"Rarewaves.com","version":"1.0","type":"link"}