Data Integration
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A comprehensive Overview of the Medallion Architecture
- September 3, 2024
- Posted by: Shibu P
- Categories: Cloud Datawarehouse, Data Analytics, Data Integration, Databricks
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Patient Condition Analytics: Data Integration, Analysis, and Prediction Using the KNIME Analytics Platform
- July 16, 2024
- Posted by: Alfred Romario
- Categories: AI/ML, Data Integration, Data Visualization, Healthcare Analytics, Snowflake
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Loading data from API to Table using Informatica’s Intelligent Data Management Cloud (IDMC)-CDI
- June 6, 2024
- Posted by: Sriramvel M
- Categories: Cloud Services, Data Integration, Informatica, Informatica CDI
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Databricks: Accelerating with Autoloader
- April 22, 2024
- Posted by: Arvind Nagarajan
- Categories: Cloud Services, Data Integration, Databricks
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Integrating Git with Snowflake and Streamlit to Empower Machine Learning
- April 15, 2024
- Posted by: Sriramvel M
- Categories: AI/ML, Data Analytics, Data Integration, Python library, Snowflake, Streamlit
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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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Snowflake Infrastructure Management : CI/CD Pipeline with Terraform/DBT and GitLab
- October 16, 2023
- Posted by: Sahana Ishwarya
- Categories: Cloud Datawarehouse, Data Integration, DevOps, Infrastructure as a Service, Snowflake
Introduction Managing Snowflake infrastructure is a formidable challenge, involving the provisioning of databases, schemas, sequences, and tables. In this blog, I’ll guide you on streamlining and ensuring consistency using Terraform/DBT as your infrastructure-as-code (IaC) tool. Join me as we create a CI/CD pipeline for Snowflake infrastructure with GitLab, Terraform/DBT, and Visual Studio Code. Prerequisites Before
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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
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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HR Analytics – Importance and Challenges
- October 28, 2019
- Posted by: Ananth Thyagarajan
- Categories: Analytics, BigQuery, Cloud Datawarehouse, Data Integration, HR Analytics, Power BI, Tableau, Talend
Organizations started embracing Human Resource Analytics knowing the importance of it. HR Analytics gives a plethora of Workforce related insights on Productivity, Turnover, Satisfaction, High Performing employee, etc.