Data Engineering for Analytics and AI with Prashanth Southekal

About this episode

Prashanth Southekal discusses data engineering for analytics and AI, covering business data types, data wrangling techniques, and governance issues.

Prashanth Southekal, Ph.D., managing principal for DBP Institute, joins host Andrew Miller to discuss data engineering for analytics and AI - including the four types of business data, practical data wrangling enrichment techniques, and managing governance, ethics and risk. For more information on Prashanth's course at TDWI Orlando please visit Data Engineering for Analytics and AI . ____________ More information: · TDWI Conferences: https://bit.ly/3XqBhGH · TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu · TDWI Virtual Summits: https://bit.ly/31HJ2xr · Seminars: https://bit.ly/3WxQPr4 · More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: · LinkedIn - https://bit.ly/42zCZZB · Facebook - https://bit.ly/49uej7j · Instagram - https://bit.ly/3HM8x57 · X - https://bit.ly/3SsYu9P

People in this episode

Host: Andrew Miller

Guest: Prashanth Southekal

Topics covered

• data engineering
• analytics
• AI
• data governance
• data ethics
• data wrangling

Keywords

• data engineering
• analytics
• AI
• data governance
• data ethics
• data wrangling
• business data

Mentioned in this episode

Organizations: DBP Institute, TDWI

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