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Serverless ETL and Analytics with AWS Glue Your Comprehensive Reference Guide to Learning about AWS Glue and Its Features

What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during...

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Bibliographic Details
Main Author: Pathak, Vishal
Other Authors: Vajiraya, Subramanya, Sekiyama, Noritaka, Tanaka, Tomohiro
Format: eBook
Language:English
Published: Birmingham Packt Publishing, Limited 2022
Subjects:
Logiciels D'application / Développement
Cloud Computing / Fast
Infonuagique
Application Software / Development / Fast
Web Services / Fast
Cloud Computing / Http://id.loc.gov/authorities/subjects/sh2008004883
Web Services / Http://id.loc.gov/authorities/subjects/sh2003001435
Services Web
Amazon Web Services
Application Software / Development / Http://id.loc.gov/authorities/subjects/sh95009362
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Table of Contents Data Management – Introduction and Concepts Introduction to Important AWS Glue Features Data Ingestion Data Preparation Designing Data Layouts Data Management Metadata Management Data Security Data Sharing Data Pipeline Management Monitoring Tuning, Debugging, and Troubleshooting Data Analysis Machine Learning Integration Architecting Data Lakes for Real-World Scenarios and Edge Cases

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