{"product_id":"97-things-every-data-engineer-should-know-collective-wisdom-from-the-experts-paperback","title":"97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts - Paperback","description":"\u003cp\u003eby \u003cb\u003eTobias Macey\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTake advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. \u003c\/p\u003e\u003cp\u003e Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. \u003c\/p\u003e\u003cp\u003e Topics include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eThe Importance of Data Lineage - Julien Le Dem \u003c\/li\u003e\n\u003cli\u003eData Security for Data Engineers - Katharine Jarmul \u003c\/li\u003e\n\u003cli\u003eThe Two Types of Data Engineering and Data Engineers - Jesse Anderson \u003c\/li\u003e\n\u003cli\u003eSix Dimensions for Picking an Analytical Data Warehouse - Gleb Mezhanskiy \u003c\/li\u003e\n\u003cli\u003eThe End of ETL as We Know It - Paul Singman \u003c\/li\u003e\n\u003cli\u003eBuilding a Career as a Data Engineer - Vijay Kiran \u003c\/li\u003e\n\u003cli\u003eModern Metadata for the Modern Data Stack - Prukalpa Sankar \u003c\/li\u003e\n\u003cli\u003eYour Data Tests Failed! Now What? - Sam Bail \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTobias Macey hosts the Data Engineering Podcast and Podcast.__init__ where he discusses the tools, topics, and people that comprise the data engineering and Python communities respectively. His experience across the domains of infrastructure, software, cloud, and data engineering allows him to ask informed questions and bring useful context to the discussions. The ongoing focus of his career is to help educate people, through designing and building platforms that power online learning, consulting with companies and investors to understand the possibilities of emerging technologies, and leading teams of engineers to help them grow professionally.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 262\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.55 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 20, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42100405895303,"sku":"9781492062417","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/7d4db0d5ea4453480776109c74984b10.webp?v=1732384276","url":"https:\/\/booksby.splitshops.com\/products\/97-things-every-data-engineer-should-know-collective-wisdom-from-the-experts-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}