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Hands-On Data Warehousing with Azure Data Factory

You're reading from Hands-On Data Warehousing with Azure Data Factory

Product type Book

Published in May 2018

Publisher Packt

ISBN-13 9781789137620

Pages 284 pages

Edition 1st Edition

Languages

Concepts

Authors (3):

Christian Cote

Michelle Gutzait

Giuseppe Ciaburro

View More author details

Table of Contents (12) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. The Modern Data Warehouse

2. Getting Started with Our First Data Factory

3. SSIS Lift and Shift

4. Azure Data Lake

5. Machine Learning on the Cloud

6. Introduction to Azure Databricks

7. Reporting on the Modern Data Warehouse

Index

Types of blobs

There are several types of blobs for different usage. The next sections briefly describe the various blob types. For more information, please see the following link: https://docs.microsoft.com/en-us/azure/storage/.

Block blobs

Block blobs are used by most Azure data transfers. They can store application files (CSV, ZIP, and so on), tables used by NoSQL applications, and queues used by streaming services such as Azure ML (short for Azure Machine Learning). Throughout the examples in this book, we'll use block blobs as storage for some of our data transfers.

Page blobs

Page blobs are used for large file storage. Azure Virtual Machines (VMs) use this type of blob to store their disk image.

Replication of storage

Replication of storage represents how the blobs are replicated to ensure the safety of their contents in case of hardware failure. When we create a blob, one of the options we have to select is the replication type:

LRS (short for Local Redundant Storage): This storage replicates...

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Authors (3)

Christian Cote

Christian Cote is an IT professional with more than 15 years of experience working in a data warehouse, Big Data, and business intelligence projects. Christian developed expertise in data warehousing and data lakes over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).

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Michelle Gutzait

Michelle Gutzait has been in IT for 30 years as a developer, business analyst, and database

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Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).

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