You're reading from Scalable Data Analytics with Azure Data Explorer

Product typeBook

Published inMar 2022

Reading LevelBeginner

PublisherPackt

ISBN-139781801078542

Edition1st Edition

Languages

Python

Concepts

Big Data

Author (1)

Jason Myerscough

Introducing performance tuning

Before we jump into workload groups, let's spend a few moments thinking about performance tuning in general. In general, performance should not be an issue, given that ADX has been designed and optimized to be a big data service that is highly scalable and fast. As you ingest more and more data and allow more users and applications to query your clusters, you may experience some performance degradation. Therefore, it is important to beware of performance tuning concepts and what features ADX provides to help tune performance when the time comes.

Like troubleshooting, which we discussed in Chapter 9, Monitoring and Troubleshooting Azure Data Explorer, performance tuning can be considered as a process. The goal of performance tuning is to identify bottlenecks, troubleshoot their causes, and apply the features that are available to us, such as workload groups, cache policies, and so on, to eliminate bottlenecks. It is also important to understand...

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Scalable Data Analytics with Azure Data Explorer

Published in: Mar 2022Publisher: PacktISBN-13: 9781801078542

Author (1)

Jason Myerscough

Jason Myerscough is a director of Site Reliability Engineering and cloud architect at Nuance Communications. He has been working with Azure daily since 2015. He has migrated his company's flagship product to Azure and designed the environment to be secure and scalable across 16 different Azure regions by applying cloud best practices and governance. He is currently certified as an Azure Administrator (AZ-103) and an Azure DevOps Expert (AZ-400). He holds a first-class bachelor's degree with honors in software engineering and a first class master’s degree in computing.
Read more about Jason Myerscough

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Introducing performance tuning

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