Book Image

Azure for Architects - Third Edition

By : Ritesh Modi, Jack Lee, Rithin Skaria
Book Image

Azure for Architects - Third Edition

By: Ritesh Modi, Jack Lee, Rithin Skaria

Overview of this book

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Table of Contents (21 chapters)
20
Index

A primer on Azure Data Lake

Azure Data Lake provides storage for big data solutions. It is specially designed for storing the large amounts of data that are typically needed in big data solutions. It is an Azure-provided managed service. Customers need to bring their data and store it in a data lake.

There are two versions of Azure Data Lake Storage: version 1 (Gen1) and the current version, version 2 (Gen2). Gen2 has all the functionality of Gen1, but one particular difference is that it is built on top of Azure Blob storage.

As Azure Blob storage is highly available, can be replicated multiple times, is disaster-ready, and is low in cost, these benefits are transferred to Gen2 Data Lake. Data Lake can store any kind of data, including relational, non-relational, file system–based, and hierarchical data.

Creating a Data Lake Gen2 instance is as simple as creating a new storage account. The only change that needs to be done is enabling the hierarchical...