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- Designing and Implementing a Modern Data Architecture on Azure Cloud.
- Ingest Azure Event Hub Telemetry Data with Apache PySpark Structured Streaming on Databricks.
- Publish PySpark Streaming Query Metrics to Azure Log Analytics using the Data Collector REST API.
- Write Data from Azure Databricks to Azure Dedicated SQL Pool(formerly SQL DW) using ADLS Gen 2.
- Incrementally Process Data Lake Files Using Azure Databricks Autoloader and Spark Structured Streaming API.
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Category Archives: Python
Setting Up Jupyter Notebook to Run in a Python Virtual Environment.
1) Install Jupyter on the local machine outside of any existing Python Virtual environment: pip install jupyter –no-cach-dir 2) Create a Python Virtual environment. mkdir virtualenv cd virtualenv python.exe -m venv dbconnect 3) Change directory into the virtual environment and … Continue reading
Posted in Python
Tagged Jupyter Kernel, Jupyter Notebook, Python Virtual Environmet, Venv
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Programmatically Provision an Azure Databricks Workspace and Cluster using Python Functions.
Azure Databricks is a data analytics and machine learning platform based on Apache Spark. The first set of tasks to be performed before using Azure Databricks for any kind of Data exploration and machine learning execution is to create a … Continue reading
Automate Azure Databricks Job Execution using Custom Python Functions.
Introduction Thanks to a recent Azure Databricks project, I’ve gained insight into some of the configuration components, issues and key elements of the platform. Let’s take a look at this project to give you some insight into successfully developing, testing, … Continue reading
Chinny Chukwudozie, Cloud Solutions. 