Accelerating and Scaling Data Products with Serverless-Reference-Cited by-同舟云学术

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Accelerating and Scaling Data Products with Serverless

Published:2023 Issue: Volume: Page:149-173
ISSN:2367-4512
Container-title:Serverless Computing: Principles and Paradigms
language:
Short-container-title:

Author:

Perez Angel,Vasilev Boyan,Agic Zeljko,Thrysøe Christoffer,Hargitai Viktor,Dahlgaard Mads,Røssel Christian

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26633-1_6

Reference54 articles.

1. Jabir B, Noureddine F, Rahmani K (2022) Big data analytics opportunities and challenges for the smart enterprise. In: Elhoseny M, Yuan X, Krit SD (eds) Distributed sensing and intelligent systems. Studies in distributed intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-64258-7_70

2. Kozyrkov C (2018) What great data analysts do—and why every organization needs them. Harvard Business Review

3. Anderson J (2020) Data teams: a unified management model for successful data-focused teams

4. Adamson J (2021) Minding the machines: building and leading data science and analytics teams

5. Lakshmanan V (2022) Data science on the Google Cloud platform implementing end-to-end real-time data pipelines from ingest to machine learning. O’Reilly Media, Inc

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Introduction to Serverless Computing;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-04-05

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