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Hands-On Data Warehousing with Azure Data Factory

Hands-On Data Warehousing with Azure Data Factory

By : Cote, Michelle Gutzait, Giuseppe Ciaburro
2.8 (10)
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Hands-On Data Warehousing with Azure Data Factory

Hands-On Data Warehousing with Azure Data Factory

2.8 (10)
By: Cote, Michelle Gutzait, Giuseppe Ciaburro

Overview of this book

ETL is one of the essential techniques in data processing. Given data is everywhere, ETL will always be the vital process to handle data from different sources. Hands-On Data Warehousing with Azure Data Factory starts with the basic concepts of data warehousing and ETL process. You will learn how Azure Data Factory and SSIS can be used to understand the key components of an ETL solution. You will go through different services offered by Azure that can be used by ADF and SSIS, such as Azure Data Lake Analytics, Machine Learning and Databrick’s Spark with the help of practical examples. You will explore how to design and implement ETL hybrid solutions using different integration services with a step-by-step approach. Once you get to grips with all this, you will use Power BI to interact with data coming from different sources in order to reveal valuable insights. By the end of this book, you will not only learn how to build your own ETL solutions but also address the key challenges that are faced while building them.
Table of Contents (8 chapters)
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Machine Learning on the Cloud

Machine learning is the ability of a machine to expand its knowledge without human intervention. The concept of machine learning is used in software engineering, in data mining, and, in particular, in artificial intelligence. Starting from a knowledge base rich in information, an automatic learning system searches and extracts any regularity between data through data mining techniques. Machine learning algorithms use mathematical-computational methods to learn information directly from the data, without mathematical models and predetermined equations.

The applications of machine learning are already numerous today, some of which have commonly entered our daily life without us realizing it. For example, search engines, through one or more keywords, return lists of results. Spam filters of emails continuously learn both to intercept suspicious or fraudulent...

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