Databricks offers several ways to ingest data, and the right choice depends less on which feature is newest than on where the data lives, how […]
Databricks Certifications
Databricks Data Engineer Associate: Lakeflow Spark Declarative Pipelines
The May 2026 Databricks Data Engineer Associate guide uses the Lakeflow Spark Declarative Pipelines terminology. In current Databricks documentation, the managed product is called Lakeflow […]
Databricks Data Engineer Associate: Unity Catalog Permissions and ABAC
In Databricks, Unity Catalog access control has two layers that are easy to confuse. Traditional privileges answer whether a principal can perform an action on […]
Databricks Data Engineer Associate: CI/CD for Data Engineering
Databricks CI/CD works best when teams separate three concerns: how engineers develop code, how Databricks resources are described, and how an automated system promotes a […]
Databricks Data Engineer Professional: Delta Sharing vs Lakehouse Federation
OpenSharing and Lakehouse Federation both let Databricks users work with data that is not simply a local managed table, but they solve opposite sides of […]
Databricks Data Engineer Professional: How Delta Lake Skips and Clusters Data
Databricks Delta Lake performance tuning is often described as a file-size problem, but the more important question is how much data a query can avoid […]
Databricks Data Engineer Professional: Monitoring Data Pipelines
Monitoring a Databricks data pipeline is not the same as checking whether the latest job run is green. A production pipeline can finish successfully while […]
Databricks Data Engineer Professional: Quarantining Bad Data
In Databricks, quarantining bad data is a recovery design, not simply a filter. A robust Databricks pipeline should be able to identify records that violate […]
Databricks GenAI Engineer Associate: Vector Search for RAG
Databricks retrieval-augmented generation succeeds or fails long before the final prompt reaches a language model. The retrieval layer has to find the right passages, apply […]
Databricks GenAI Engineer Associate: Model Serving for GenAI
Deploying a generative AI application on Databricks is not just a matter of placing a model behind an HTTP endpoint. The serving design determines which […]
Databricks GenAI Engineer Associate: MLflow for LLM Applications
Modern LLM applications are difficult to operate because the visible answer is only the last step in a chain of decisions. A production request may […]
Databricks GenAI Engineer Associate: Governing RAG & Agents with Unity Catalog
A RAG application or AI agent expands the security boundary of an ordinary analytics workload. The application may retrieve documents, query structured data, call functions, […]
How to Pass the Databricks Data Engineer Associate Exam: Expert Tips and Guide
In the ever-evolving world of data engineering, staying ahead of the curve is crucial. As organizations increasingly embrace AI and scalable data solutions, the need […]