{"product_id":"97-things-every-data-engineer-should-know-collective-wisdom-from-the-experts","title":"97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book provides 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data, with contributions from notable companies such as Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn. It is edited by Tobias Macey, host of the popular Data Engineering Podcast, and will benefit data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 250 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 June 2021\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: O'Reilly Media, Inc, USA\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eTake advantage of the soaring demand for data engineers! This comprehensive guide is designed to empower both current and aspiring engineers with invaluable real-world best practices for managing data, regardless of its size. Contributors from renowned companies such as Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn, share their invaluable experiences and insights to overcome a diverse range of specific and often challenging obstacles. Edited by Tobias Macey, the host of the popular Data Engineering Podcast, this book offers 97 concise and practical tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Whether you're a data engineer, data architect, data team manager, data scientist, machine learning engineer, or software engineer, this resource will greatly benefit from the wisdom and expertise of your peers.\u003cbr\u003e\u003cbr\u003eIn this comprehensive guide, we delve into essential topics such as the significance of data lineage, ensuring data security for data engineers, understanding the two types of data engineering, and selecting an analytical data warehouse. We also explore six dimensions for choosing an analytical data warehouse, the end of ETL as we know it, building a successful career as a data engineer, modern metadata for the modern data stack, and troubleshooting data tests that fail.\u003cbr\u003e\u003cbr\u003eBy leveraging the insights and expertise shared in this book, you'll gain the tools and knowledge necessary to excel in the field of data engineering and make a significant impact on your organization's success. So, whether you're just starting your journey or looking to enhance your skills, this guide is a must-read for anyone passionate about data and its potential to drive innovation and growth.\u003c\/p\u003e\u003cp\u003e\\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 392g\\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 228 x 151 x 18 (mm)\\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781492062417\\n                            \\n                          \u003c\/p\u003e","brand":"Tobias Macey","offers":[{"title":"Paperback \/ softback","offer_id":44100303225082,"sku":"9781492062417","price":28.55,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/c14e6579dc8437adc992933cd0bbeea5.jpg?v=1633487214","url":"https:\/\/shulphink.com\/products\/97-things-every-data-engineer-should-know-collective-wisdom-from-the-experts","provider":"Shulph Ink","version":"1.0","type":"link"}