This repo contains code specific to the SQL-driven spark aggregation framework to be executed in the Databricks cluster that integrates with the Azure storage account.

Data files for azure cloud data engineering project

Azure Data Lake Gen2 with azcopy

Code/Utility to recursively traverse a given Azure Data Lake Gen2 account and find the size of various Containers and Folders

Deploy apache spark in client mode on Kubernetes cluster, integrate with Jupyter notebook through Jupyterhub server.

"Explore Formula 1 data analytics with this project. Leveraging the Ergast API, it utilizes Databricks Spark for ingestion, transformation, and analysis. ADLS acts as the storage layer, while Power BI visualizes the ADLS presentation layer. Uncover insights in the world of Formula 1 through powerful data analytics."

Azure Data Lake Gen2 Backup Sync

Data Engineering Project on Supply Chain ETL. Creating a dynamic ADF pipeline to ingest both Full Load and Incremental Load data from SQL Server and then transform these datasets based on medallion architecture using Databricks.

Implemented Azure Databricks for real-time data processing and governance using Unity Catalog, Spark Structured Streaming, Delta Lake features, Medallion Architecture, and end-to-end CI/CD pipelines. Focused on incremental loading, compute cluster management, maintaining data quality, and creating workflows.

Creating a pipeline that will automatically create View of data in Synapse, whenever data arrives in ADLS Gen2.

Azure ADLS Gen2 CLI Tool

Using SAS to authenticate and access to ADLS Gen 2 from Azure Databricks

Implementation of most useful services of Azure Data Platform.

COVID19-ADF is a project that leverages Azure services to collect, analyze, and visualize COVID-19 data. With seamless data integration and advanced analytics, it provides valuable insights into the pandemic's impact, enabling informed decision-making in the fight against COVID-19.

POC projects working on Cloud Platforms

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.

This sample demonstrates how to create a Linux Virtual Machine in a virtual network that privately accesses a blob storage account using an Azure Private Endpoint.

Repository for all blog scripts and code

Procedimento para criação de um Azure Data Lake Storage usando Terraform, através de uma assinatura MS Learn Sandbox

Fluentd output plugin for Azure Datalake Storage Gen2 (append support)