Topic: azuresynapse Goto Github
Some thing interesting about azuresynapse
Some thing interesting about azuresynapse
azuresynapse,Learning Azure Data Fundamentals of Relational and Non Relational Data with Microsoft Learn Platform
User: amanjot-git
azuresynapse,Transform data from on-premises SQL Server to Azure Delta Lake Storage for Analytics and Visualization
User: datacounsel
Home Page: https://github.com/DataCounsel/Azure-Data-Engineering
azuresynapse,Create high-quality data pipelines using Azure
User: egoliveira1
azuresynapse,A spark reader to read the Common Event Format (CEF) built using Scala and SBT and optimised for Databricks workloads
Organization: elastacloud
Home Page: https://www.elastacloud.com
azuresynapse,The aim of this project is to build a cost efficient Data Warehouse on Amazon's Retail sales data and perform Customer lifetime value analyses
User: esvs2202
azuresynapse,Contains solutions/versions of Batch Data Pipelines created on Azure Data Factory
User: ios00
azuresynapse,Practice with Azure Synapse Analytics/Databricks Pipeline
User: ios00
azuresynapse,Azure for End to End Data Science Project
User: kelum-senaka
azuresynapse,Allows you to create a dacpac for an Azure Synapse Analytics serverless SQL Pool using Azure DevOps
User: kevchant
azuresynapse,Implemented an end-to-end Azure data engineering solution to process Tokyo Olympics 2021 data, encompassing extraction, transformation, analytics, and visualization.
User: madanjatin18
azuresynapse,Azure End-to-End Data Engineering Project
User: melvinlkl
azuresynapse,Generic Pipelines / Templates for Data Factory / Synapse Pipelines w.r.t Different MSFT Offering Integrations / Use Cases
User: nandanhegde15
azuresynapse,This project leverages Azure Cloud services like Azure Data Factory, Azure Databricks, and Synapse Analytics to execute a data engineering workflow. Utilizing data sourced from the Olympic API on GitHub, it involves extracting raw data into Azure Data Lake Storage, transforming it with PySpark on Azure Databricks, and analyzing the transformed data
User: nazish555
azuresynapse,Local SQL Database ---> Azure ---> Power BI
User: nikhil-pickle
azuresynapse,Examples & Solutions from Azure Synapse course
User: petees
azuresynapse,
User: quyetnn1102
azuresynapse,Ingested Tokyo Olympic data into Azure Data Lake using Azure Data Factory. Enhanced data quality with Apache Spark on Azure Databricks. Optimized SQL queries on Synapse Analytics, reducing execution time. Developed engaging Power BI dashboards, boosting user engagement creating KPI's with DAX.
User: sairajindroju
azuresynapse,Azure_Synapse_Project_NYC_TAXI_DATA--Sayantan Barat
User: sayantanbarat
azuresynapse,This project builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2022LT Database.
User: shashi42
azuresynapse,Explore the Tokyo Olympics data journey! We ingested a GitHub CSV into Azure via Data Factory, stored it in Data Lake Storage Gen2, performed transformations in Databricks, conducted advanced analytics in Azure Synapse, and visualized insights in Synapse or Power BI.
User: shubhammirajkar
azuresynapse,The aim of this project is to build a cost efficient Data Warehouse on Amazon's Retail sales data and perform Customer lifetime value analyses.
User: svsriramff
azuresynapse,The repo simulates query load, optimizes performance, and offers practical guidance for building data warehouses with Azure Synapse Analytics. 🚀
User: tahhnik
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