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Published inJul 2022
PublisherPackt
ISBN-139781801814867
Edition1st Edition
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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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Trade-offs in designing streaming architectures

Spark has multiple ways of achieving the end goal with tunable performance, cost, and quality. Hence, there is a need for a process to understand the goals/requirements of use cases. For each goal, define the strategy needed; for each goal, define the resources required; compute the cost of resources employed. The process is repeated until expectations are balanced. This is where trade-offs need to be considered, as shown in the following diagram; either the goal or resource has to be tweaked:

Figure 4.14 – Balancing streaming service requirements and resources

It is a balancing act of managing the various goals with the resources that the team is willing to bring to the table. Goals refer to requirements regarding scalability, performance, processing logic, quality, reliability, and availability. Resources refer to compute, storage, and integration services, and the effort needed to not only create but...

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Simplifying Data Engineering and Analytics with Delta
Published in: Jul 2022Publisher: PacktISBN-13: 9781801814867

Author (1)

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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.
Read more about Anindita Mahapatra