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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
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Author (1)
Jason Myerscough
Jason Myerscough
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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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Calculating moving averages with KQL

There may be instances where your time series data is clean and all the components such as seasonality, trends, and variations are visible to the point that you can confidently make decisions based on the data without having to manipulate or clean the data. In reality, there will be noise and variations in the data that may obfuscate patterns and anomalies. KQL provides a rich set of functions for analyzing time series data. One subset of those functions is for calculating moving averages. Moving averages allow us to remove noise and smoothen our data.

The goal of this section is to learn how to use series_fir() to calculate moving averages to smoothen our data. Finite Impulse Response (FIR) is a filtering technique that is commonly used in signal processing and time series.

As you may recall, in Chapter 6, Introducing Time Series Analysis, we used demo_make_series1, which is a table in the help cluster (https://help.kusto.windows.net) to...

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Scalable Data Analytics with Azure Data Explorer
Published in: Mar 2022Publisher: PacktISBN-13: 9781801078542
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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