How Snowflake is Transforming Data Science |
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| © 2023 by IJCTT Journal | ||
| Volume-71 Issue-6 |
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| Year of Publication : 2023 | ||
| Authors : Priya Sengar | ||
| DOI : 10.14445/22312803/IJCTT-V71I6P107 | ||
How to Cite?
Priya Sengar, "How Snowflake is Transforming Data Science," International Journal of Computer Trends and Technology, vol. 71, no. 6, pp. 42-46, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I6P107
Abstract
In a fast-growing and evolving business environment, companies globally are looking for ways to enhance their data governance capabilities. The advent of Snowflake as a rich and evolving data cloud service allows offering-controlled access to cutting-edge tools, apps, and services, as well as nearly endless amounts of data. With the help of the Data Cloud, companies work together locally and internationally to uncover novel insights, develop previously unanticipated business prospects, and recognize their customers at any time through smooth and pertinent interactions. Implementing Snowflake as a data cloud service enhances efficiency, scalability, security, and uniformity. This article emphasizes how Snowflake transforms data science by acting as a unified data hub for varied types of data blended with a rich ecosystem of partner products and native connectors where users can leverage their choice of machine learning tools to Snowflake data. The article also discusses how prominent companies across different domains are using Snowflake as their cloud data service to scale and improve their data and ml ecosystem. Although Snowflake provides rich benefits, this article also demonstrates its limitations, such as unavailability on-premises, limitations on high query performance, price elevations, not access to granular support, and difficult adaptation. By overcoming these challenges, companies do have a significant ability to adopt the technology with careful consideration.
Keywords
Data engineering, Machine learning, Snowflake, Snowpark.
Reference
[1] Michael Desmond, Machine Learning Market to Grow to Nearly $21 Billion by 2024, 2019. [Online]. Available:
[2] https://pureai.com/articles/2019/07/23/nwsdes-machine-learning-market-growth.aspx
[3] The Snowflake Website. [Online]. Available: https://www.snowflake.com/guides/feature-engineering
[4] Snowflake Marketplace, 2023. [Online]. Available: https://docs.snowflake.com/en/user-guide/ui-snowsight-marketplace
[5] Kavya Nagarajan, The StreamSets Website, 2022. [Online]. Available: https://streamsets.com/blog/snowpark-udfs-python/
[6] The Snowflake Website, Media Data Cloud. [Online]. Available: https://www.snowflake.com/en/solutions/industries/advertising-media-entertainment/
[7] The Snowflake Website, Healthcare and Life Sciences Data Cloud. [Online]. Available: https://www.snowflake.com/en/solutions/industries/healthcare-and-life-sciences/
[8] The Snowflake Website, 2023. [Online]. Available: https://www.snowflake.com/en/solutions/industries/manufacturing/
[9] The Snowflake Website, Government and Education Data Cloud. [Online]. Available: https://www.snowflake.com/en/solutions/industries/public-sector/
[10] The Snowflake Website, Retail Data Cloud. [Online]. Available: https://www.snowflake.com/en/solutions/industries/retail-cpg/
[11] The Snowflake Website, Financial Services Data Cloud. [Online]. Available: https://www.snowflake.com/en/solutions/industries/financial-services