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You're reading from Architecting Microsoft Azure Solutions ??? Exam Guide 70-535 A complete guide to passing the 70-535 Architecting Microsoft Azure Solutions exam

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788991735

Length 418 pages

Edition 1st Edition

Tools

Azure

Concepts

Cloud Computing

Author (1):

Sjoukje Zaal

View More author details

Table of Contents (26) Chapters

Title Page

Packt Upsell

Foreword

Contributors

Preface

1. Working with Azure Virtual Machines

2. Configuring Compute-Intensive Applications FREE CHAPTER

3. Designing Web Applications

4. Implementing Serverless and Microservices

5. Robust Networking Implementations

6. Connecting Hybrid Applications

7. Using Storage Solutions

8. Scalable Data Implementations

9. Securing Your Resources

10. Securing Your Data

11. Governance and Policies

12. Artificial Intelligence, IoT, and Media Services

13. Implementing Messaging Solutions

14. Application Monitoring and Alerting Strategies

15. Exploring Operations Automation Strategies

1. Appendix A – Assessments

2. Appendix B – Mock Test Questions

3. Appendix C – Mock Test Answers

4. Other Books You May Enjoy

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Index

Azure Data Lake

Azure Data Lake is a big data storage and analytics service that can store an unlimited amount of structured, semi-structured, or unstructured data. It is based on the Hadoop Yes Another Resource Negotiator (YARN) cluster management platform, which can scale dynamically across Azure SQL Server instances or instances of Azure SQL Data Warehouse.

Note

For more information about Hadoop YARN, you can refer to the Hadoop website at https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html.

Hadoop YARN offers three types of solutions:

Azure Data Lake Store
Azure Data Lake Analytics
Azure HDInsight

Azure Data Lake Store

Azure Data Lake Store is a storage repository for big data workloads, where you can store raw data. A data lake is a container where you can store all kinds of data, such as structured, semi-structured, and unstructured data. Data is still unprocessed when it is added to the data lake. This is different from a data warehouse, where you store structured...