PinnedEduard PopainData Engineer ThingsA Practitioner’s Guide to Developing Data Engineering Solutions with DatabricksDevelopment Approaches, Environments, CI/CD and Testing with Databricks4d ago44d ago4
Eduard PopainData Engineer ThingsAzure Databricks in the Enterprise Context: Cost Management9 Ways to Optimise Your Databricks Costs You Won’t Find in the DocumentationJul 5Jul 5
Eduard PopainData Engineer ThingsAzure Databricks in the Enterprise Context: GovernanceEverything You Need to Know About Governance in Azure DatabricksJul 4Jul 4
Eduard PopainData Engineer ThingsAzure Databricks in the Enterprise Context: NetworkingA Comprehensive Overview of Network Security and Compliance with DatabricksJun 81Jun 81
Eduard PopainData Engineer ThingsThe 2023 Data Engineering Onboarding ReportWhat Data Engineers Feel About Today’s Onboarding ProcessJul 17, 20231Jul 17, 20231
Eduard PopainData Engineer ThingsFrom MVP to Production: Tips for a Successful Data Project TransitionHow to move your data product past the early stages.May 19, 20231May 19, 20231
Eduard PopainData Engineer ThingsSupercharging Performance with Partitioning in Databricks and Spark (Part 3/3)Why Every Data Engineer Needs to Understand Partitioning!May 13, 2023May 13, 2023
Eduard PopainData Engineer ThingsSupercharging Performance with Partitioning in Databricks and Spark (Part 2/3)Why Every Data Engineer Needs to Understand Partitioning!May 13, 20231May 13, 20231
Eduard PopainData Engineer ThingsSupercharging Performance with Partitioning in Databricks and Spark (Part 1/3)Why Every Data Engineer Needs to Understand Partitioning!May 13, 2023May 13, 2023
Eduard PopainData Engineer ThingsWhy Most Data Projects Fail in the Early Phases (and How to Avoid It)How expectation mismatch kill data projects at MVP.Apr 29, 2023Apr 29, 2023