HomeArticles by: Sriramvel M

Sriramvel M

  • Machine Learning Simplified: Unveiling Snowflake Cortex’s Classifier Function 

    • May 2, 2024
    • Posted by: Sriramvel M
    • Categories:
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  • Integrating Git with Snowflake and Streamlit to Empower Machine Learning

    • April 10, 2024
    • Posted by: Sriramvel M
    • Categories: AI/ML, Data Analytics, Data Integration, Python library, Snowflake, Streamlit
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  • Unveiling the future: Empowering Predictions with Snowflake Cortex ML Time Series Forecasting

    • March 7, 2024
    • Posted by: Sriramvel M
    • Categories: AI/ML, Data Analytics, Snowflake, Streamlit
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  • Loading data from API to Table using Informatica’s Intelligent Data Management Cloud (IDMC)-CDI

    • March 1, 2024
    • Posted by: Sriramvel M
    • Categories: Cloud Services, Data Integration, Informatica, Informatica CDI
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  • Dynamic Update and Trigger of a Mapping task in IDMC-CDI using Postman

    • March 1, 2024
    • Posted by: Sriramvel M
    • Categories: Cloud Services, Data Integration, Informatica, Informatica CDI
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  • Snowpark-Based Forecasting for Hospital Readmissions : A Proactive Approach

    • March 1, 2024
    • Posted by: Sriramvel M
    • Categories: AI/ML, Analytics, Data Analytics, Healthcare Analytics, Hospital Dataanalytics, Python library, Snowflake
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  • Revolutionizing Attendance Tracking: Efficient Prompt Engineering with LLMs for Seamless Natural Language to SQL Conversion

    • March 1, 2024
    • Posted by: Sriramvel M
    • Categories: AI/ML, Analytics, Data Analytics, Generative AI, Large Language Models, Python library
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  • RAG based LLM assistant using Streamlit, OpenAI and Llama Index

    • February 14, 2024
    • Posted by: Sriramvel M
    • Categories: AI/ML, Analytics, Generative AI, Large Language Models, Snowflake, Streamlit
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  • Ingesting Data into Oracle Autonomous Data Warehouse using IDMC-CDI

    • July 19, 2023
    • Posted by: Sriramvel M
    • Categories: Autonomous Datawarehouse Cloud, Data Integration, Informatica
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    The objective of this blog is to help people understand how and by what means we can develop an architecture in IDMC for the successful table load from Oracle On-Prem to Oracle Autonomous Data Warehouse. In this blog post, we will guide you through the step-by-step process on how this process works with

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