Data Engineering with Apache Spark, Delta Lake, and Lakehouse /

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 data Key Features Become well-versed with the core concepts of Apache Spark and Delta Lake for building data platforms Le...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Kukreja, Manoj (Author), Zburivsky, Danil (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Electronic eBook
Language:Inglés
Published: Packt Publishing, 2021.
Edition:1st edition.
Subjects:
Spark (Electronic resource : Apache Software Foundation)
Data mining.
Microsoft Azure (Computing platform)
Data Mining
Exploration de données (Informatique)
Microsoft Azure (Plateforme informatique)
Data mining
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Table of Contents The Story of Data Engineering and Analytics Discovering Storage and Compute Data Lake Architectures Data Engineering on Microsoft Azure Understanding Data Pipelines Data Collection Stage - The Bronze Layer Understanding Delta Lake Data Curation Stage - The Silver Layer Data Aggregation Stage - The Gold Layer Deploying and Monitoring Pipelines in Production Solving Data Engineering Challenges Infrastructure Provisioning Continuous Integration and Deployment (CI/CD) of Data Pipelines.

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