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Interacting with a MongoDB Database from a Python Function in AWS Lambda

In: Alternative Data and Artificial Intelligence Techniques

Author

Listed:
  • Qingquan Tony Zhang

    (University of Illinois Urbana-Champaign)

  • Beibei Li

    (Carnegie Mellon University)

  • Danxia Xie

    (Tsinghua University)

Abstract

This chapter studies the interaction between MongoDB database and Python by introducing the background of AWS Lambda. It mainly introduces the knowledge related to the three subjects involved in the topic, and this chapter elaborates the applications of (i) MongoDB and its pricing strategy, (ii) Python, its environment, and modifying codes, and (iii) AWS LAM and its complete usage process. The authors also discuss promising directions of using alternative or unstructured data for both academics and practitioners.

Suggested Citation

  • Qingquan Tony Zhang & Beibei Li & Danxia Xie, 2022. "Interacting with a MongoDB Database from a Python Function in AWS Lambda," Palgrave Studies in Risk and Insurance, in: Alternative Data and Artificial Intelligence Techniques, chapter 0, pages 311-327, Palgrave Macmillan.
    • Handle: RePEc:pal:psircp:978-3-031-11612-4_15
    DOI: 10.1007/978-3-031-11612-4_15
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