Azure Storage, Streaming, and Batch Analytics

The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. Azure Storage, Streaming, and Batch Analytics teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.

What's inside

Configuring Azure services for speed and cost
Constructing data pipelines with Data Factory
Choosing the right data storage methods

Table of Contents
1 What is data engineering?
2 Building an analytics system in Azure
3 General storage with Azure Storage accounts
4 Azure Data Lake Storage
5 Message handling with Event Hubs
6 Real-time queries with Azure Stream Analytics
7 Batch queries with Azure Data Lake Analytics
8 U-SQL for complex analytics
9 Integrating with Azure Data Lake Analytics
10 Service integration with Azure Data Factory
11 Managed SQL with Azure SQL Database
12 Integrating Data Factory with SQL Database
13 Where to go next