A practical guide to implementing a scalable and fast
state-of-the-art analytical data estate Key Features Store and
analyze data with enterprise-grade security and auditing Perform
batch, streaming, and interactive analytics to optimize your big
data solutions with ease Develop and run parallel data processing
programs using real-world enterprise scenarios Book
DescriptionAzure 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. What you will learn Implement data governance with Azure
services Use integrated monitoring in the Azure Portal and
integrate Azure Data Lake Storage into the Azure Monitor Explore
the serverless feature for ad-hoc data discovery, logical data
warehousing, and data wrangling Implement networking with Synapse
Analytics and Spark pools Create and run Spark jobs with Databricks
clusters Implement streaming using Azure Functions, a serverless
runtime environment on Azure Explore the predefined ML services in
Azure and use them in your app Who this book is forThis 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.
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