Cloud Scale Analytics with Azure Data Services
This book will help you to understand the architectural components of a modern data warehouse and select those suitable for your requirements. You’ll learn everything from how to integrate your source data into Azure Data Lake at scale to how to structure your analytical data estate and more.
Offered by
Difficulty Level
Intermediate
Completion Time
17h20m
Language
English
About Book
Who Is This Book For?
This book is for data architects, ETL developers, or anyone who wants to get well-versed with Azure data services to implement an analytical data estate for their enterprise. The book will also appeal to data scientists and data analysts who want to explore all the capabilities of Azure data services, which can be used to store, process, and analyze any kind of data. A beginner-level understanding of data analysis and streaming will be required.
Cloud Scale Analytics with Azure Data Services
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h20m total length
Balancing the benefits of Data Lakes over Data Warehouses
The Modern Data Warehouse and Azure Data Services
Understanding the Data Lake Storage Layer
Relational Storage components: Synapse SQL Pools, SQL DB, Azure Databases
Data integration enterprise grade and even code-free
Spark on Azure: Synapse Spark Pools
Spark on Azure: Databricks
Streaming
Azure Cognitive Services / Azure Machine Learning
Machine Learning with Spark on Azure: Synapse Spark Pools / Azure Databricks
Synapse SQL Pools / Synapse Analytics
Analysis Service / Power BI / Data Share
Industry Data Models
Data Governance
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!