Cloud Scale Analytics with Azure Data Services.

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.

Type
ebook
Category
Data
publication date
2021-07-23
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

no of pages
520
duration
1040
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
approach
Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you will begin analyzing any data format using the analytical language of your choice or even on a low-code/no-code basis right away.
audience
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.
meta description
A practical guide to implementing a scalable and fast state-of-the-art analytical data estate
short description
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.
subtitle
Build modern data warehouses on Microsoft Azure
keywords
Azure Data, Azure Synapse, Azure streaming analytics, data warehouse, cloud scale analytics, Azure Data Factory, Azure data services
Product ISBN
9781800562936