Data lake analytics on Microsoft Azure : a practitioner's guide to big data engineering /

Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will learn from the authors' experience working with large-scale enterprise customer engagements. This book i...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Chawla, Harsh
Other Authors: Khattar, Pankaj
Format: Electronic eBook
Language:Inglés
Published: [United States] : Apress, 2020.
Subjects:
Microsoft .NET Framework.
Microsoft Azure (Computing platform)
Big data.
Données volumineuses.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1: Data Lake Analytics Concepts
  • Chapter 2: Building Blocks of Data Analytics
  • Chapter 3: Data Analytics on Public Cloud
  • Chapter 4: Data Ingestion
  • Chapter 5: Data Storage
  • Chapter 6: Data Preparation and Training Part I
  • Chapter 7: Data Preparation and Training Part II
  • Chapter 8: Model and Serve
  • Chapter 9: Summary.

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