Azure Storage transfer tool and data movement library
An End-to-End ETL data pipeline that leverages pyspark parallel processing to process about 25 million rows of data coming from a SaaS application using Apache Airflow as an orchestration tool and various data warehouse technologies and finally using Apache Superset to connect to DWH for generating BI dashboards for weekly reports
A set of modules for deploying custom Git LFS servers on different infrastructure providers
Create web-APIs for long-running tasks. Job based task handling. Get the result with the job id later. FastTaskAPI creates threaded jobs and job queues on the fly. Router functionality for Runpod. Run services anywhere, be it local, hosted or serverless.
A python application that leverages Microsoft Azure to build a fully functional trading system.
MutableMapping implementations for common cloud storage solutions - use a bucket as a dict!
Here resides an end-to-end sample of using an NVIDIA Jetson platform as an Azure IoT Edge device with Live Video Analytics Edge and Azure Blob Storage. An open-source ML model is utilized to detect objects in an RSTP stream simulator. A Python web app is included for reviewing AI detections from Blob Storage.
🏋️♀️ Import inference data from Amazon S3, Azure Blob Storage, Google Cloud Storage and others to Aporia
A Pulumi component that synchronizes a local folder to Amazon S3, Azure Blob Storage, or Google Cloud Storage.
Utlised Azure services to orchestrate earthquake daily data pipeline from USGS, consisting of last 7 days of data. Data was transformed and loaded into Azure SQL database and finally Tableau dashboard was made.
An integrated chatbot application utilising OpenAI GPT models, hosted on Azure, with seamless connectivity to LINE messaging platform. Designed for modularity, scalability, and efficient logging with Azure Blob Storage.
A comprehensive NLP project using Azure AI Language service for custom text classification, integrated with Azure Blob Storage and containers. This project includes features for single-label classification, data labeling, and seamless model configuration through Language Studio, optimizing deployment efficiency.
Upload training images directly from Azure Blob storage to Azure Custom Vision Service
Azure function that extracts zip files uploaded to a specified blob container and sends the contents to the same or different container as specified.
Python scripts to use the Azure SDKs, plus a few general machine learning and related scripts.
A streaming toolkit with bottomless storage
Project 1 submission for the Udacity nanodegree course "Cloud Developer". It demonstrates the knowledge of Storage types (Blob and SQL Database) and Azure Active Directory techniques in a simple Content Management System.
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