Global FAQ
BXP Frequently Asked Questions
Fast answers for learners, managers, and technical stakeholders reviewing the BXP journey.
Do learners get a Databricks environment for labs and exercises?
Yes. BXP includes a managed Databricks training environment with pre-configured workspace and cluster setup so participants can run labs, capstones, and exercises throughout the entire journey.
Which modules are available in the full BXP journey?
The journey is structured as Ignite, Learn, Apply, Grow, and Lead. Each module builds on the previous level and increases depth across analytics, engineering, governance, and enablement capability.
What capability areas does BXP cover?
BXP covers Lakehouse fundamentals, Delta Lake, Unity Catalog governance, SQL and PySpark delivery, orchestration patterns, MLflow operationalization, FinOps awareness, and cross-team enablement practices.
Is BXP relevant for both individuals and teams?
Yes. BXP supports individual upskilling paths and team enablement tracks, including coordinated kick-off, recap, and company-context guidance.
How hands-on is the learning model?
BXP is strongly hands-on. Learners execute practical labs, project scenarios, and module capstones in managed Databricks environments with coaching support.
How do we decide which module is the right entry point?
Entry depends on current maturity: Ignite for business-first entry, Learn for practitioner ramp-up, Apply for professional delivery, Grow for architecture and scale, and Lead for organizational enablement and capability multiplication.
Can companies discuss tailored enablement options?
Yes. Team and B2B options can be discussed through the team enablement contact links on the website.