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You're reading from  Database Design and Modeling with Google Cloud

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781804611456
Edition1st Edition
Concepts
Databases
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Author (1)
Abirami Sukumaran
Abirami Sukumaran
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Abirami Sukumaran

Abirami Sukumaran is a lead developer advocate at Google, focusing on databases and data to AI journey with Google Cloud. She has over 17 years of experience in data management, data governance, and analytics across several industries in various roles from engineering to leadership, and has 3 patents filed in the data area. She believes in driving social and business impact with technology. She is also an international keynote, tech panel, and motivational speaker, including key events like Google I/O, Cloud NEXT, MLDS, GDS, Huddle Global, India Startup Festival, Women Developers Academy, and so on. She founded Code Vipassana, an award-winning, non-profit, tech-enablement program powered by Google and she runs with the support of Google Developer Communities GDG Cloud Kochi, Chennai, Mumbai, and a few developer leads. She is pursuing her doctoral research in business administration with artificial intelligence, is a certified Yoga instructor, practitioner, and an Indian above everything else.
Read more about Abirami Sukumaran

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Data to AI

This section is a perspective on data modeling for journeying from data to AI through several stages, including ingestion to storage, integration, transformation, and archival considerations:

  1. Data ingestion: Data ingestion is the process of acquiring and importing data from various sources into an analytics database or data warehouse. When designing the data model for ingestion, consider the frequency and volume of data updates, data formats, and data integration requirements. Choose appropriate ingestion mechanisms such as batch processing, real-time streaming, or event-based ingestion based on the timeliness and velocity of your data. Ensure data validation and cleansing mechanisms are in place to maintain data quality during ingestion.
  2. Storage: Choosing the right storage infrastructure is crucial for efficiently managing and accessing large volumes of data in AI workflows. Cloud object storage and database services such as Google Cloud Storage and BigQuery...
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Database Design and Modeling with Google Cloud
Published in: Dec 2023Publisher: PacktISBN-13: 9781804611456
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Abirami Sukumaran

Abirami Sukumaran is a lead developer advocate at Google, focusing on databases and data to AI journey with Google Cloud. She has over 17 years of experience in data management, data governance, and analytics across several industries in various roles from engineering to leadership, and has 3 patents filed in the data area. She believes in driving social and business impact with technology. She is also an international keynote, tech panel, and motivational speaker, including key events like Google I/O, Cloud NEXT, MLDS, GDS, Huddle Global, India Startup Festival, Women Developers Academy, and so on. She founded Code Vipassana, an award-winning, non-profit, tech-enablement program powered by Google and she runs with the support of Google Developer Communities GDG Cloud Kochi, Chennai, Mumbai, and a few developer leads. She is pursuing her doctoral research in business administration with artificial intelligence, is a certified Yoga instructor, practitioner, and an Indian above everything else.
Read more about Abirami Sukumaran

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