Book description
Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end understanding of data science life cycle and the techniques to efficiently productionize workloads.Data Science Solutions on Azure will reveal how the different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem.
What You'll Learn
- Understand big data analytics with Spark in Azure Databricks
- Integrate with Azure services like Azure Machine Learning and Azure Synaps
- Deploy, publish and monitor your data science workloads with MLOps
- Review data abstraction, model management and versioning with GitHub
Who This Book Is For
Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques.
Table of contents
- Cover
- Front Matter
- 1. Data Science in the Modern Enterprise
- 2. Statistical Techniques and Concepts in Data Science
- 3. Data Preparation and Data Engineering Basics
- 4. Introduction to Azure Machine Learning
- 5. Hands-on with Azure Machine Learning
- 6. Apache Spark, Big Data, and Azure Databricks
- 7. Hands-on with Azure Databricks
- 8. Machine Learning Operations
- Back Matter
Product information
- Title: Data Science Solutions on Azure: Tools and Techniques Using Databricks and MLOps
- Author(s):
- Release date: December 2020
- Publisher(s): Apress
- ISBN: 9781484264058
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