Book Image

Cloud Scale Analytics with Azure Data Services

By : Patrik Borosch
Book Image

Cloud Scale Analytics with Azure Data Services

By: Patrik Borosch

Overview of this book

Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality. This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs. By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.
Table of Contents (20 chapters)
1
Section 1: Data Warehousing and Considerations Regarding Cloud Computing
4
Section 2: The Storage Layer
7
Section 3: Cloud-Scale Data Integration and Data Transformation
14
Section 4: Data Presentation, Dashboarding, and Distribution

Monitoring Databricks

Azure Monitor is the Azure-wide log collection service that enables you to collect, analyze, and correlate logs from Azure, but also from on-premises applications. With Azure Monitor, you will be able to analyze not just one particular service, but bring together information from a wider context, and with this, develop a new level of understanding and insights.

As Azure Databricks is not (yet) natively integrated with Azure Monitor, your applications will need to use an additional library to inject your log events into the Log Analytics workspace of Azure Monitor. Microsoft provides a GitHub repository where you can download and build the required library to be used in your code. You can find the link to the documentation in the Further reading, Monitoring Databricks, section.