This is a event driven meta data ingestion tool that I am building with Azure leveraging several of Azure PaaS services.
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Updated
Dec 11, 2022 - JavaScript
This is a event driven meta data ingestion tool that I am building with Azure leveraging several of Azure PaaS services.
Content for What's new in Databricks talk
Notes about platforms such as Azure-Databricks, Apache Spark, Azure-DevOps etc.
Data Engineering Project using Tokyo Olympic Data
[👩🏫] In this repository I'll show you how to use Azure Databricks for development and training machine learning models, and build a MLOps pipeline to serving them with CI/CD process.
Get up and running quickly with Spark Structured Streaming on Azure Databricks using Azure Event Hubs
Azure DevOps extension for interacting with Azure Databricks via REST API
Terraform template which shows how to connect E2E from Azure Databricks to an HDInsight HBase cluster
A summative coursework for CSC8101 Engineering for AI
Data Engineering Project - Python, PySpark & SQL - Azure Data Factory (ADF), DataBricks, Synapse Analytics, Azure Data Lake Storage (ADLS) Gen2, Power BI, Tableau and Looker Studio
Analyzing NYC bike data with Azure Databricks
Mount file from Azure to Databricks and ETL transformation on the datasets
Import data from a CSV into a Hive partitioned and non-partitioned table
A simple pipeline to transform data within Azure Data Factory using Azure Databricks. Although it is written in Scala the same can be replicated in Python.
Pyspark tutorials
Azure Databricks notebook sample to connect Blob Storage of Azure Log Analytics
Azure pipeline for data analytics on Tokyo Olympics data
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