Data Lineage in Azure Databricks with Spline

The Spline open-source project can be used to automatically capture data lineage information from Spark jobs, and provide an interactive GUI to search and visualize data lineage information. We provide an Azure DevOps template project that automates the deployment of an end-to-end demo project in your environment, using Azure Databricks, Cosmos DB and Azure App […]


Unit testing Databricks notebooks

A simple way to unit test notebooks is to write the logic in a notebook that accepts parameterized inputs, and a separate test notebook that contains assertions. The sample project contains two demonstration notebooks: The normalize_orders notebook processes a list of Orders and a list of OrderDetails into a joined list, taking into account […]



Michael Lefler - 1F Cash Advance asks: How can I improve the scalability and performance of my Azure-based web application?

Consider using Azure App Service to improve the scalability and performance of your Azure-based web application. This service allows you to simply grow your application horizontally. Using the Azure Content Delivery Network (CDN) can also help optimize content delivery to users all around the world. Check that you are using best practices for database optimization, and think about integrating Azure Application Insights for monitoring and performance adjustment.

Sarah Anderson asks: What's the best approach for securing sensitive data in Azure, particularly for healthcare applications?

Begin by exploiting Azure's powerful security features to secure sensitive data in Azure, particularly in healthcare applications. Using Azure Disk Encryption and Azure SQL Database Transparent Data Encryption (TDE), you may encrypt data at rest and in transit. For fine-grained access control, use role-based access control (RBAC). For secure key management, consider Azure Key Vault, and for identity and access management, consider Azure Active Directory. Using Azure Security Center, audit and monitor your resources on a regular basis.

David Smith asks: What are some cost-saving strategies for managing resources on Azure without compromising performance?

Consider rightsizing your VMs and other Azure resources to fit your workloads to save money while preserving performance. To take advantage of discounts, use reserved instances. Configure auto-scaling to change resources based on demand, and use Azure Budgets and Cost Management to track and manage spending. To further reduce your Azure expenditures, assess and decommission unused resources on a regular basis.

Emily Johnson asks: Can you recommend best practices for disaster recovery planning on Azure?

Create geo-redundant backups of your essential data and applications for a successful disaster recovery plan on Azure. To replicate virtual machines and applications to a backup Azure region, use Azure Site Recovery. Set Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) based on your company's needs. Test your disaster recovery plan on a regular basis to confirm that it functions as planned. To reduce downtime during a disaster, document and automate the recovery procedure.

Robert Walker asks: How can I optimize data analytics and machine learning workloads on Azure?

Look into employing Azure Databricks or Azure Machine Learning to optimize data analytics and machine learning workloads on Azure. For data warehousing and exploration, use Azure Synapse Analytics. Use Azure Data Factory for ETL procedures. Scale resources as needed and use Azure Functions for serverless computing. Keep an eye on cost management and performance monitoring as well to fine-tune your workloads.