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

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 includ...

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Bibliographic Details
Other Authors: Chawla, Harsh, author (author), Khattar, Pankaj, author (writer of foreword), Alur, J. Sandeep, writer of foreword
Format: eBook
Language:Inglés
Published: New York, New York : Apress L. P. [2020]
Edition:1st ed. 2020.
Subjects:
Big data.
Microsoft Azure (Computing platform)
Microsoft .NET Framework.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631060906719
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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