Data Engineering with Apache Spark, Delta Lake, and Lakehouse : Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

Manoj Kukreja

15 valutazioni di Goodreads

Lingua: inglese

Editore: Packt Publishing, 2021

1801077746 / 9781801077743

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Brossura

Condizione: Nuovo

EUR 83,01

EUR 35,00 spedizione 
Spedito da Germania a U.S.A.

Quantità: 2 disponibili

Aggiungi al carrello
Resi gratuiti per 30 giorni

Descrizione dell’articolo da parte del venditore

nach der Bestellung gedruckt Neuware - Printed after ordering - Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big dataKey Features:Become well-versed with the core concepts of Apache Spark and Delta Lake for building data platformsLearn how to ingest, process, and analyze data that can be later used for training machine learning modelsUnderstand how to operationalize data models in production using curated dataBook Description:In the world of ever-changing data and ever-evolving schemas, it is important to build data pipelines that can auto-adjust to changes. This book will help you build scalable data platforms that managers, data scientists, and data analysts can rely on.Starting with an introduction to data engineering, along with its key concepts and architectures, this book will show you how to use Microsoft Azure Cloud services effectively for data engineering. You'll cover data lake design patterns and the different stages through which the data needs to flow in a typical data lake. Once you've explored the main features of Delta Lake to build data lakes with fast performance and governance in mind, you'll advance to implementing the lambda architecture using Delta Lake. Packed with practical examples and code snippets, this book takes you through real-world examples based on production scenarios faced by the author in his 10 years of experience working with big data. Finally, you'll cover data lake deployment strategies that play an important role in provisioning the cloud resources and deploying the data pipelines in a repeatable and continuous way.By the end of this data engineering book, you'll have learned how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence (AI) tasks.What You Will Learn:Discover the challenges you may face in the data engineering worldAdd ACID transactions to Apache Spark using Delta LakeUnderstand effective design strategies to build enterprise-grade data lakesExplore architectural and design patterns for building efficient data ingestion pipelinesOrchestrate a data pipeline for preprocessing data using Apache Spark and Delta Lake APIsAutomate deployment and monitoring of data pipelines in productionGet to grips with securing, monitoring, and managing data pipelines models efficientlyWho this book is for:This book is for aspiring data engineers and data analysts who are new to the world of data engineering and are looking for a practical guide to building scalable data platforms. If you already work with PySpark and want to use Delta Lake for data engineering, you'll find this book useful. Basic knowledge of Python, Spark, and SQL is expected.…

Codice articolo 9781801077743

Titolo
Data Engineering with Apache Spark, Delta Lake, and Lakehouse : Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
Autore
Manoj Kukreja
Editore
Packt Publishing
Anno di pubblicazione
2021
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
1801077746
ISBN 13
9781801077743
Peso dell'articolo
888 grammi
Dimensioni
235x191x26 mm

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.

Metodi di pagamento

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay
  • Assegno
  • Bonifico bancario
  • PayPal

Descrizione dello Store

Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.

Specializzazione

Kinderbücher & Kinderhör Casetten, German Books, Software, Natur & Tiere, Ratgeber, Sachbücher, Englische Bücher, Medizin & Gesundheit, Universität & Studium

Informazioni sull’azienda del venditore

AHA-BUCH GmbH

Garlebsen 48
Einbeck, Germania 37574

Imprimere

Informazioni sul venditore:

AHA-BUCH GmbH
rappresentata dall'amministratore delegato Christel Glass
Garlebsen 48
37574 Einbeck
Germania
Telefono: 055639996039
Fax: 055639995974
E-Mail: abebooks@aha-buch.de
USt-IdNr.: DE261904229
registrato presso Registro delle imprese Amtsgerichtes Göttingen
Handelsregisternummer HRB 200691

Risoluzione alternativa delle controversie:
La Commissione europea fornisce una piattaforma per la risoluzione extragiudiziale delle controversie online (piattaforma ODR), accessibile nell'ambito di https://ec.europa.eu/odr.

Siamo membri dell'iniziativa "FairCommerce" dal 25.05.2018.
Per ulteriori informazioni, vedere www.fair-commerce.de.