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You're reading from  Azure Data Factory Cookbook

Product typeBook
Published inDec 2020
PublisherPackt
ISBN-139781800565296
Edition1st Edition
Tools
Azure Data Factory
Concepts
Data Streaming
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Authors (4):
Dmitry Anoshin
Dmitry Anoshin
author image
Dmitry Anoshin

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry has constantly exceeded project expectations when he has worked in the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics.
Read more about Dmitry Anoshin

Dmitry Foshin
Dmitry Foshin
author image
Dmitry Foshin

Dmitry Foshin is a business intelligence team leader, whose main goals are delivering business insights to the management team through data engineering, analytics, and visualization. He has led and executed complex full-stack BI solutions (from ETL processes to building DWH and reporting) using Azure technologies, Data Lake, Data Factory, Data Bricks, MS Office 365, PowerBI, and Tableau. He has also successfully launched numerous data analytics projects – both on-premises and cloud – that help achieve corporate goals in international FMCG companies, banking, and manufacturing industries.
Read more about Dmitry Foshin

Roman Storchak
Roman Storchak
author image
Roman Storchak

Roman Storchak is a PhD, and is a chief data officer whose main interest lies in building data-driven cultures through making analytics easy. He has led teams that have built ETL-heavy products in AdTech and retail and often uses Azure Stack, PowerBI, and Data Factory.
Read more about Roman Storchak

Xenia Ireton
Xenia Ireton
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Xenia Ireton

Xenia Ireton is a Senior Software Engineer at Microsoft. She has extensive knowledge in building distributed services, data pipelines and data warehouses.
Read more about Xenia Ireton

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Building a machine learning app with Databricks and Azure Data Lake Storage

In addition to ETL/ELT jobs, data engineers often help data scientists to productionize machine learning applications. Using Databricks is an excellent way to simplify the work of the data scientist as well as create data preprocessing pipelines.

As we have seen in the previous recipe, ADF can trigger the execution of notebooks and JAR and Python files. So, parts of the app logic have to be encoded there.

A Databricks cluster uses its own filesystem (DBFS). So, we need to mount Azure Data Lake Storage to DBFS to access input data and the resulting files.

In this recipe, we will connect Azure Data Lake Storage to Databricks, ingest the MovieLens dataset, train a basic model for a recommender system, and store the model in Azure Data Lake Storage.

Getting ready

First, log in to your Microsoft Azure account.

We assume you have a pre-configured resource group and storage account with Azure...

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Azure Data Factory Cookbook
Published in: Dec 2020Publisher: PacktISBN-13: 9781800565296
© 2020 Packt Publishing Limited All Rights Reserved

Authors (4)

author image
Dmitry Anoshin

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry has constantly exceeded project expectations when he has worked in the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics.
Read more about Dmitry Anoshin

author image
Dmitry Foshin

Dmitry Foshin is a business intelligence team leader, whose main goals are delivering business insights to the management team through data engineering, analytics, and visualization. He has led and executed complex full-stack BI solutions (from ETL processes to building DWH and reporting) using Azure technologies, Data Lake, Data Factory, Data Bricks, MS Office 365, PowerBI, and Tableau. He has also successfully launched numerous data analytics projects – both on-premises and cloud – that help achieve corporate goals in international FMCG companies, banking, and manufacturing industries.
Read more about Dmitry Foshin

author image
Roman Storchak

Roman Storchak is a PhD, and is a chief data officer whose main interest lies in building data-driven cultures through making analytics easy. He has led teams that have built ETL-heavy products in AdTech and retail and often uses Azure Stack, PowerBI, and Data Factory.
Read more about Roman Storchak

author image
Xenia Ireton

Xenia Ireton is a Senior Software Engineer at Microsoft. She has extensive knowledge in building distributed services, data pipelines and data warehouses.
Read more about Xenia Ireton

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