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adflab

Azure Data Factory hands-on lab, self-paced. Learn how to lift & shift SSIS packages to the Cloud with ADF. Build new ETL pipelines in ADF, transform data at scale, load Azure Data Warehouse data marts. Also walks through operationalizing ADF pipelines with scheduling and monitoring modules.

ambari-yarn-utils

Ambari YARN UTILS

az300

Study Notes for the AZ-300 exam

azure-cli

Command-line tools for Azure.

azure-databricks-workshop

Azure Databricks workshops with content on connectivity to Azure services, data engineering workflows and data sciences notebooks.

azure-event-hubs-spark

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

azure-iot-sdks

SDKs for a variety of languages and platforms that help connect devices to Microsoft Azure IoT services

azure-powershell

Microsoft Azure PowerShell

azure-quickstart-templates

Azure Quickstart Templates

azuredw_query_toolbox

Repository of queries that are helpful for managing your workload on an Azure SQL Data Warehouse instance.

data-engineer-learning-path

databricks-certified-data-engineer-associate-questions

This repo contains "Databricks Certified Data Engineer Associate" Questions and related docs.

hdinsight-docs

HDInsight Developer's Guide

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

landscape

Static Cloud Native Landscapes and Interactive Landscape that filters and sorts hundreds of cloud native projects and products, and shows details including GitHub stars, funding or market cap, first and last commits, contributor counts, headquarters location, and recent tweets.

machine-learning-by-andrew-ng-in-python

Documenting my python implementation of Andrew Ng's Machine Learning course

machinelearningnotebooks

Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.

ml-with-spark

Spark MLlib binary classification implementation using decision trees. Uses credit rating data for the classification.

security-analysis-tool

Security Analysis Tool (SAT) analyzes customer's Databricks account and workspace security configurations and provides recommendations that help them follow Databrick's security best practices. When a customer runs SAT, it will compare their workspace configurations against a set of security best practices and delivers a report.

shared

Code and shared files

spark-monitoring

Monitoring Azure Databricks jobs

spark_training

Exercise used for spark training.

streaming_ml

A simple POC implementing Lambda-architecture using Apache Spark with Spark Streaming and Apache Cassandra.

terraform-databricks-examples

Examples of using Terraform to deploy Databricks resources

terraform-databricks-sra

The Security Reference Architecture (SRA) implements typical security features as Terraform Templates that are deployed by most high-security organizations, and enforces controls for the largest risks that customers ask about most often.

terraform-provider-databricks

Databricks Terraform Provider