Technology trainings

Hands-on training in the platforms teams actually use.

Live, instructor-led programs across Snowflake, Databricks, Microsoft Fabric, Data Vault 2.0, modeling, engineering and AI for data teams. 30% concepts, 70% hands-on, with real business scenarios.

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1 training match your filters

DatabricksIntermediate

Databricks Lakehouse Engineering with PySpark

Build medallion-architecture pipelines on Databricks with PySpark and Delta Lake.

Duration
30 hrs
Mode
Live online
Starts
To be announced
Syllabus · 5 modules · Weekday evenings, 7–9pm IST
  1. Lakehouse fundamentals · 4h
    Workspace, clusters, notebooks, Delta Lake basics, medallion architecture
  2. PySpark for data engineering · 8h
    DataFrames, joins, window functions, UDF trade-offs, performance basics
  3. Delta Lake in depth · 6h
    MERGE, change data feed, schema evolution, OPTIMIZE and Z-ORDER, time travel
  4. Governance and quality · 5h
    Unity Catalog, expectations and data quality checks, lineage
  5. Orchestration and capstone · 7h
    Workflows, parameters, monitoring; capstone pipeline reviewed by the trainer
You will be able to: Build medallion (Bronze, Silver, Gold) pipelines with PySpark and Delta Lake · Handle incremental and historical loads, schema evolution and data quality checks · Govern data with Unity Catalog · Orchestrate and monitor jobs with Databricks Workflows
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