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Product typeBook
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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Streaming best practices

Gartner has identified five levels of streaming capabilities to determine the maturity of an organization in its journey toward stream analytics as data is converted into information and optimized to extract every ounce of insight from it. It goes from presenting what happened, and why it happened, to what will happen. The five stages are as follows:

  1. Ingesting the data
  2. Orienting the individual lines of business to be data-aware
  3. Using model capabilities to advise business support systems to help make the decisions through extended testing
  4. Automation, culminating in a learning capability that can adapt to changes in data
  5. Operating conditions

Here is a graphic representation of these five stages:

Figure 4.19 – Gartner's Streaming Analytics Maturity Model

Reference

https://blogs.gartner.com/nick-heudecker/five-levels-of-streaming-analytics-maturity/

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

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