Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
Some Poems By Joe (Whos Not A Poe) Some Food For Thought Some Stories Taught So Please Enjoy They Wont Annoy Youll Laugh, Youll Cry (Just Dont Ask Why) So Take A Chance And Take A Glance Cause Whats Inside Was Writ With Pride
My name is Joe Sorenson. The reason why I am writing this book is to demonstrate my exciting life. Let us enjoy the ride! Do you want to know where I grew up? This book will tell you in great detail. So let's take a ride. I was born August 6 in the year 1941 in Saint Paul, Minnesota. I went to a residential school in Faribault, Minnesota. I am blind, but this book will show you how a blind person can rise from almost becoming mentally ill to rising to the top. I have worked in radio, but I had to work for it. My wife, Ellen, and I live in Albuquerque, New Mexico, and we write poetry. So let's ride.
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
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