GitHub topics: azuresynapse
kevchant/AzureDevOps-SynpaseServerlessSQLPool-dacpac
Allows you to create a dacpac for an Azure Synapse Analytics serverless SQL Pool using Azure DevOps
Size: 24.4 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

egoliveira1/NYC-payroll-project
Create high-quality data pipelines using Azure
Size: 682 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

NandanHegde15/Azure-DataFactory-Generic-Pipelines
Generic Pipelines / Templates for Data Factory / Synapse Pipelines w.r.t Different MSFT Offering Integrations / Use Cases
Size: 774 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 10 - Forks: 4

keval72/Tokyo-Olympics-Data-Analytics-Using-Azure
Explore the Tokyo Olympics data journey! We ingested a CSV from GitHub into Azure using Data Factory, stored it in Data Lake Storage Gen2, performed transformations in Databricks, conducted advanced analytics in Azure Synapse, and visualized insights using Synapse or Power BI.
Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

amanjot-git/AzureSQL
Learning Azure Data Fundamentals of Relational and Non Relational Data with Microsoft Learn Platform
Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MohamedIMAbdelal/BookingPredictor
This project aims to predict customer booking behaviors by classifying them into three categories: Booked and Canceled Booked and Checked Out Booked and Did Not Show
Language: Python - Size: 36.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 2

nazish555/Tokyo-Olympics-Azure-Data-Engineering-Project
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
Language: Jupyter Notebook - Size: 337 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sairajindroju/TokyoOlympicDataAnalytics-Azure
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.
Language: Jupyter Notebook - Size: 488 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Shashi42/Azure-End-to-End-Sales-Data-Analytics-Pipeline
This project builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2022LT Database.
Language: Jupyter Notebook - Size: 501 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

melvinlkl/tokyo-olympics-azure
Azure End-to-End Data Engineering Project
Size: 502 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shubhammirajkar/tokyo_olympics_de_project
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.
Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

esvs2202/Customer-Lifetime-value-Analysis-on-Amazon-Retail-sales-data
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
Language: TSQL - Size: 2.05 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

elastacloud/spark-cef-reader
A spark reader to read the Common Event Format (CEF) built using Scala and SBT and optimised for Databricks workloads
Language: Scala - Size: 103 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Nikhil-Pickle/End-to-End-Azure-Data-Engineering
Local SQL Database ---> Azure ---> Power BI
Size: 7.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

svSriramFF/Customer-Lifetime-Analysis-on-Retail-sales-data-of-Amazon
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.
Language: TSQL - Size: 4.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Kelum-senaka/azure_end_to_end_data_science_project
Azure for End to End Data Science Project
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sayantanbarat/Azure_Synapse_Project_NYC_TAXI_DATA
Azure_Synapse_Project_NYC_TAXI_DATA--Sayantan Barat
Language: TSQL - Size: 1.91 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

quyetnn1102/udacity-project2-azure-dwh
Language: TSQL - Size: 726 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
