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Fundamentals of Data Engineering: Plan and Build Robust Data Systems

£30.41 GBP
£30.71 More info
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Shipping options

Estimated to arrive by Fri, May 30th. Details
FREE via International Shipping (2 to 3 weeks) to Worldwide
Ships from India In

Offer policy

OBO - Seller accepts offers on this item. Details

Return policy

Refunds available: See booth/item description for details

Purchase protection

Payment options

PayPal accepted
PayPal Credit accepted
Venmo accepted
PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
Amazon Pay accepted
Nuvei accepted

Item traits

Category:

Adult Learning & University

Quantity Available:

2 in stock

Condition:

Brand New

ISBN:

9781098108304

Format:

Trade Paperback

Type:

Textbook

Language:

English

Subject Area:

Computers

Publication Name:

Fundamentals of Data Engineering: Plan and Build Robust Data Syst

Author:

Joe Reis/Matt Housley

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Posted for sale:

More than a week ago

Item number:

1713333019

Item description

Welcome to Anaira Enterprises your own Wholesale Books Store: Product Description 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 About the Author Joe Reis is a business-minded data nerd who's worked in the data industry for 20 years, with responsibilities ranging from statistical modeling, forecasting, machine learning, data engineering, data architecture, and almost everything else in between. Joe is the CEO and cofounder of Ternary Data, a data engineering and architecture consulting firm based in Salt Lake City, Utah. In addition, he volunteers with several technology groups and teaches at the University of Utah. In his spare time, Joe likes to rock climb, produce electronic music, and take his kids on crazy adventures. Matt Housley is a data engineering consultant and cloud specialist. After some early programming experience with Logo, Basic, and 6502 assembly, he completed a PhD in mathematics at the University of Utah. Matt then began working in data science, eventually specializing in cloud-based data engineering. He cofounded Ternary Data with Joe Reis, where he leverages his teaching experience to train future data engineers and advise teams on robust data architecture. Matt and Joe also pontificate on all things data on The Monday Morning Data Chat. Shipping and Handling We take handling time of 1-3 Business Day from the date of receipt of the payment after receiving cleared payment. The shipping company takes 6-15 business days to deliver the product. This transit time does not include the seller's handling time. Transit time includes normal weekdays. Often Saturdays, Sundays, and major holidays are not included in transit time estimates. Business day does not include Sundays. Feedback Feedback DSRs (Detailed Seller Ratings). We Strive for 100%Customer Satisfaction and we love to leave positive feedback's for our buyers. Negative feedback is not a solution. So, we request you to contact us and give us a chance to resolve it asap. Thank You and Happy Shopping.