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Databricks ETL Pipeline for retrieving and processing NI TestStand test results, featuring a well-documented notebook for ETL operations, Data Lake for storage, Spark SQL+Python for transformations, and Power BI as the final visualization of factory metrics.
An application developed to give real-time insights on machine health using Iot sensors by tracking and monitoring parameters such as temperature, pressure, current and humidity.
This repository contains code for an end-to-end IoT data pipeline using Azure services. It ingests, processes, and stores IoT device data from AWS S3 to Azure Data Lake Storage and Azure SQL Database, leveraging Azure Data Factory and Azure Functions for seamless integration and automation.
We have dataset of IPL from 2008 to 2020 and we have to visualize analytics on Power BI dashboard. We have to upload that dataset into data lake. After that we have to process that data through pipeline and produce modeled data in warehouse. So, that we will be able to analyze the data in Power BI through pre-defined dashboards.
An E2E solution of the Data Resources on Azure using the Snapshot Serengeti dataset. This E2E solution focuses Azure Synapse Analytics, Power Bi & the Azure Data Factory.