Leverage Cloud Platform and Data Integration Tools to Accelerate Data-Driven Insights

International Journal of Computer Science and Engineering

© 2024 by SSRG - IJCSE Journal

Volume 11 Issue 2

Year of Publication : 2024

Authors : Ankush Ramprakash Gautam

10.14445/23488387/IJCSE-V11I2P103

How to Cite?

Ankush Ramprakash Gautam, "Leverage Cloud Platform and Data Integration Tools to Accelerate Data-Driven Insights," SSRG International Journal of Computer Science and Engineering , vol. 11,  no. 2, pp. 20-24, 2024. Crossref, https://doi.org/10.14445/23488387/IJCSE-V11I2P103

Abstract:

This article critically examines data ingestion in the public cloud environment. Traditional data integration approaches often encounter challenges related to data availability from diverse sources within a project schedule, leading to delays and project failures. By leveraging the capabilities of public cloud providers and self-service Data Integration solutions, organizations can expedite the development of their Data Lakes and rapidly derive Data-Driven Insights. This empowers them to enhance operational efficiency, make informed decisions, and gain a competitive edge in their respective industries. The article explores the benefits of utilizing the public cloud for data ingestion and transformation and highlights the challenges associated with traditional data integration approaches. Our analysis provides valuable insights for practitioners seeking to optimize their data integration processes and maximize the value derived from their data.

Keywords:

Cloud, Data lake, Data integration, Data ingestion.

References:

[1] Return on Investment, Wikipedia, 2016. [Online]. Available: https://en.wikipedia.org/wiki/Return_on_investment
[2] Cloud Computing, Wikipedia. [Online]. Available: https://en.wikipedia.org/wiki/Cloud_computing
[3] The Data-Driven Enterprise of 2025, QuantumBlack AI by McKinsey. [Online]. Available:
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-data-driven-enterprise-of-2025
[4] Tim Stobierski, The Advantages of Data-Driven Decision-Making, Harvard Business School, 2019. [Online]. Available: https://online.hbs.edu/blog/post/data-driven-decision-making
[5] Data Lake, Wikipedia. [Online]. Available: https://en.wikipedia.org/wiki/Data_lake
[6] Google Cloud, Wikipedia. [Online]. Available: https://en.wikipedia.org/wiki/Google_Cloud
[7] Amazon Web Services, Wikiversity. [Online]. Available: https://en.wikiversity.org/wiki/Amazon_Web_Services
[8] Get to Insights Faster with Fully Automated Cloud Data Pipelines, Stitch. [Online]. Available: https://www.stitchdata.com/
[9] The Automated Data Movement Platform, FiveTran. [Online]. Available: https://www.fivetran.com/
[10] Data Engineering Market Study Wisdom of Crowd Series, Dresner Advisory Services, LLC, 2023. [Online]. Available: https://www.alteryx.com/wp-content/uploads/external-wisdom-of-crowdsr-data-engineering-market-study-report-licensed-to-alteryx-c-2023-dresner-advisory-services46.pdf
[11] Investment Case: Multiplying Progress through Data Ecosystems, Global Partnership for Sustainable Development Data, 2022. [Online]. Available: https://www.data4sdgs.org/resources/investment-case-multiplying-progress-through-data-ecosystems
[12] Charles Wang, What is Fivetran?, Fivetran, 2023. [Online]. Available : https://www.fivetran.com/blog/what-is-fivetran