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You're reading from  Simplifying Data Engineering and Analytics with Delta

Product typeBook
Published inJul 2022
PublisherPackt
ISBN-139781801814867
Edition1st Edition
Concepts
Big Data
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Author (1)
Anindita Mahapatra
Anindita Mahapatra
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Anindita Mahapatra

Anindita Mahapatra is a Solutions Architect at Databricks in the data and AI space helping clients across all industry verticals reap value from their data infrastructure investments. She teaches a data engineering and analytics course at Harvard University as part of their extension school program. She has extensive big data and Hadoop consulting experience from Thinkbig/Teradata prior to which she was managing development of algorithmic app discovery and promotion for both Nokia and Microsoft AppStores. She holds a Masters degree in Liberal Arts and Management from Harvard Extension School, a Masters in Computer Science from Boston University and a Bachelors in Computer Science from BITS Pilani, India.
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Understanding and monitoring SLAs

A Service Level Agreement (SLA) is part of an explicit or implicit contract attesting to certain service quality metrics and expectations. Violation of some of these could result in penalties, fines, and loss of reputation. There is usually a cost and service quality tradeoff. So, it is important to articulate the SLA requirements of each use case and describe how it will be measured and tracked so that there is no ambiguity of whether it was honored or violated. There should also be clear guidance on how SLA violations are reported and the obligations and consequences on behalf of the service provider to remedy or compensate for the breach.

There are several types of SLA, and common ones include metrics for system availability, system response time, customer satisfaction as measured by Net Promoter Score (NPS), support tickets raised over a period of time, defect/error tickets and the response time to address them, and security incidents. It is...

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Simplifying Data Engineering and Analytics with Delta
Published in: Jul 2022Publisher: PacktISBN-13: 9781801814867
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Anindita Mahapatra

Anindita Mahapatra is a Solutions Architect at Databricks in the data and AI space helping clients across all industry verticals reap value from their data infrastructure investments. She teaches a data engineering and analytics course at Harvard University as part of their extension school program. She has extensive big data and Hadoop consulting experience from Thinkbig/Teradata prior to which she was managing development of algorithmic app discovery and promotion for both Nokia and Microsoft AppStores. She holds a Masters degree in Liberal Arts and Management from Harvard Extension School, a Masters in Computer Science from Boston University and a Bachelors in Computer Science from BITS Pilani, India.
Read more about Anindita Mahapatra

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