In this blog, I would like to share experience to Integrate SAP Success factors with Data Lakes.
What is Data Lake?
A data lake is a centralized storage repository that holds vast amounts of raw, unprocessed data in its native format (structured, semi-structured, unstructured) from diverse sources, allowing organizations to store everything first and analyse later for advanced analytics, machine learning, and big data processing.
Data Lake Importance?
Data lakes are crucial for modern business because they centralize all data (structured, unstructured, streaming) in its raw form, enabling flexible, scalable, and cost-effective storage, breaking down data silos, and powering advanced analytics, machine learning (ML), and AI for faster, deeper insights and competitive advantage.
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