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

Product typeBook
Published inMay 2018
PublisherPackt
ISBN-139781789137620
Edition1st Edition
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Authors (3):
Christian Cote
Christian Cote
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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).
Read more about Christian Cote

Michelle Gutzait
Michelle Gutzait
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Michelle Gutzait

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

Giuseppe Ciaburro
Giuseppe Ciaburro
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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).
Read more about Giuseppe Ciaburro

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Azure Machine Learning Studio


Azure Machine Learning Studio is an interactive programming tool for machine learning analysis. This is the solution offered by Microsoft as a tool to create predictive models automatically without the need to know how the algorithm works. It is a platform in which data, cloud-based tools, and predictive analysis are combined to implement an effective model. The platform also has numerous APIs to help developers build advanced artificial intelligence models. Azure Machine Learning Studio is available at the following link: https://studio.azureml.net/.

The following screenshot shows the welcome page of Azure Machine Learning Studio:

In Azure Machine Learning Studio, building a development model becomes an interactive experience. It's more fun and much easier than the classic methodologies, which involve the implementation/adaptation of algorithms already available in libraries. In fact, thanks to the drag-and-drop function, it will be enough to select the necessary...

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Hands-On Data Warehousing with Azure Data Factory
Published in: May 2018Publisher: PacktISBN-13: 9781789137620

Authors (3)

author image
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).
Read more about Christian Cote

author image
Michelle Gutzait

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

author image
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).
Read more about Giuseppe Ciaburro