Generic Pipelines / Templates for Data Factory / Synapse Pipelines w.r.t Different MSFT Offering Integrations / Use Cases
-
Updated
Feb 10, 2024
#
azuresynapse
Here are 22 public repositories matching this topic...
Local SQL Database ---> Azure ---> Power BI
-
Updated
Oct 13, 2023 - Jupyter Notebook
Allows you to create a dacpac for an Azure Synapse Analytics serverless SQL Pool using Azure DevOps
-
Updated
Apr 30, 2023
Create high-quality data pipelines using Azure
-
Updated
Nov 2, 2023
Practice with Azure Synapse Analytics/Databricks Pipeline
-
Updated
Nov 25, 2022
A spark reader to read the Common Event Format (CEF) built using Scala and SBT and optimised for Databricks workloads
-
Updated
Oct 28, 2023 - Scala
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.
python
sql
apache-spark
dashboard
azure
dataengineering
azuredatafactory
azuredatabricks
dataana
azuredatalakegen2
azuresynapse
synapseanalytics
-
Updated
Mar 5, 2024 - Jupyter Notebook
Transform data from on-premises SQL Server to Azure Delta Lake Storage for Analytics and Visualization
-
Updated
Jul 16, 2023 - Jupyter Notebook
Azure_Synapse_Project_NYC_TAXI_DATA--Sayantan Barat
-
Updated
Sep 30, 2022 - TSQL
This project builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2022LT Database.
azure
python3
azure-storage
powerbi
t-sql
ssms
azurestorage
transact-sql
azure-data-factory
pyspark-notebook
azuredatafactory
azure-databricks
azuredatabricks
azure-synapse-analytics
azuredatalakegen2
azure-synapse-serverless-sql
microsoft-entra
azuresynapse
azure-data-lake-gen2
-
Updated
Jan 24, 2024 - Jupyter Notebook
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.
-
Updated
Feb 7, 2024 - Jupyter Notebook
-
Updated
Jan 5, 2023 - TSQL
-
Updated
Nov 15, 2022 - TSQL
Contains solutions/versions of Batch Data Pipelines created on Azure Data Factory
-
Updated
Oct 26, 2022
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
-
Updated
Mar 10, 2024 - Jupyter Notebook
The repo simulates query load, optimizes performance, and offers practical guidance for building data warehouses with Azure Synapse Analytics. 🚀
cloud
azure
datascience
data-engineering
data-analytics
cloud-computing
datawarehousing
azurefunctions
machinelearning
streamprocessing
azuremachinelearning
azuresynapse
-
Updated
Apr 21, 2024 - TSQL
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.
-
Updated
Oct 8, 2023 - TSQL
Learning Azure Data Fundamentals of Relational and Non Relational Data with Microsoft Learn Platform
-
Updated
Mar 22, 2024 - Jupyter Notebook
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
-
Updated
Nov 9, 2023 - TSQL
Improve this page
Add a description, image, and links to the azuresynapse topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the azuresynapse topic, visit your repo's landing page and select "manage topics."