Azure Storage, Streaming, and Batch Analytics

A guide for data engineers

Author: Richard L. Nuckolls

Richard L. Nuckolls (Author)
Visit Author Page
Books by him and info about author and more.

Are you a Author?
Learn more here

Save 10%
9781617296307
MRP: $4999
You Pay: $4499
You save: $5.00
Leadtime to ship in days (default): Usually ships in 25-30 days
Reward points: 38 points
+
Our advantages
  • — SMS notification
  • — Return and exchange
  • — Different payment methods
  • — Best price
  • — Personalised Service
AuthorRichard L. Nuckolls Leadtime to ship in days (default)Usually ships in 25-30 days

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.

Summary
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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Microsoft Azure provides dozens of services that simplify storing and processing data. These services are secure, reliable, scalable, and cost efficient.

About the book
Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Read along to construct a cloud-native data warehouse, adding features like real-time data processing. Based on the Lambda architecture for big data, the design uses scalable services such as Event Hubs, Stream Analytics, and SQL databases. Along the way, you’ll cover most of the topics needed to earn an Azure data engineering certification.

What's inside

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

About the reader
For readers familiar with database management. Examples in C# and PowerShell.

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

About the Author

Richard Nuckolls is a Microsoft Certified Solution Developer and Azure enthusiast. During his 20 years of experience, he's done server and database administration, desktop and web development, and more recently has led teams in building production content management systems and web-scale analytics systems in Azure.

Author
Richard L. Nuckolls
Binding
Paperback
Condition Type
New
Country Origin
USA
Edition
1
Gift Wrap
Yes
Leadtime to ship in days (default)
Usually ships in 25-30 days
Page
448
Publisher
Manning Publications
Year
2020
Find similar

No posts found

Have you used the product?

Tell us something about it and help others to make the right decision

Write a review
Possibly you may be interested
  • Forthcoming/Pre-Order
  • Bestsellers
  • Recently Viewed
 
 
 
Fast and high quality delivery

Our company makes delivery all over the country

Quality assurance and service

We offer only those goods, in which quality we are sure

Returns within 30 days

You have 30 days to test your purchase