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Azure Data Engineering with ADF, ADB, Synapse and PowerBI

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Partner: Udemy
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Description: Project Description:In today's data-driven world, organizations need robust platforms to efficiently collect, process, analyze, and visualize data to drive informed decision-making. This project aims to design and implement a unified data platform leveraging Microsoft Azure services including Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Power BI.Project Goals:Data Ingestion and Integration: Utilize Azure Data Factory to orchestrate the ingestion of data from various sources including databases, files, and streaming sources. Implement data integration pipelines to cleanse, transform, and load data into a centralized data lake or data warehouse.Scalable Data Warehousing: Deploy Azure Synapse Analytics (formerly SQL Data Warehouse) to create a scalable and performant data warehouse solution. Design and optimize data models to support complex analytical queries and reporting requirements.Advanced Analytics and Data Processing: Leverage Azure Databricks to perform advanced analytics, machine learning, and data processing tasks on large volumes of data. Develop Spark-based ETL processes, build predictive models, and perform data exploration and visualization using Python or Scala.Real-time Analytics and Streaming: Implement real-time data processing and analytics using Azure Stream Analytics or Azure Databricks streaming capabilities. Analyze streaming data from IoT devices, sensors, or social media platforms to gain insights and detect patterns in real-time.Business Intelligence and Reporting: Develop interactive dashboards and reports using Power BI to visualize insights derived from the unified data platform. Create rich visualizations, drill-down reports, and executive dashboards to empower business users with actionable insights.Project Deliverables:<
Category: IT & Software > Other IT & Software > Azure Synapse Analytics
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Price: 24.99
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Source: Impact
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