- ANTES DE COMPRAR PREGUNTE FECHA DE ENTREGA.- ENVIAMOS POR MERCADOENVIOS- PUEDE RETIRAR POR AHORA SOLO POR QUILMES, MICROCENTRO ESTA CERRADO, POR ESO...- EN CABA (CAPITAL FEDERAL) ENVIAMOS SIN CARGO ESTE PRODUCTO.- FORMA DE PAGO : MERCADOPAGO- HACEMOS FACTURA A.- ELBAZARDIGITAL VENDEDOR PLATINUM- TODOS NUESTROS PRODUCTOS EN:https://eshops.mercadolibre.com.ar/elbazardigital-X-X-X-- SOMOS IMPORTADORES DIRECTOS, ESTE PRODUCTO SE COMPRA Y SE IMPORTA DESDE ESTADOS UNIDOS, ESTO IMPLICA QUE USTED ESTA COMPRANDO EL MISMO PRODUCTO QUE COMPRARÍA UN CLIENTE DE ESE PAÍS.- ANTES DE REALIZAR UNA CONSULTA, VISUALICE TODAS LAS IMAGENES DEL PRODUCTO.Descripción provista por la editorial :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, youll 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. Youll 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 lifecycleAbout the AuthorJoe Reis is a business-minded data nerd whos 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.-o-o-o-