Industry relevant Curriculum
Job-Ready Training
Capstone projects & case studies
Flexible Learning
| Day | Duration | Module | Topics Covered |
|---|---|---|---|
| Day 1 | 4 Hours | Introduction & Setup | Databricks overview, Lakehouse architecture, Workspace setup, Cluster creation, DBFS |
| Day 2 | 4 Hours | Notebooks & Data Ingestion | Python/SQL Notebooks, Visualizations, Mount ADLS, Read from Azure SQL/Blob |
| Day 3 | 4 Hours | Delta Lake & Table Management | ACID, Schema enforcement, MERGE, OPTIMIZE, Bronze/Silver/Gold strategy |
| Day 4 | 4 Hours | Data Engineering with Spark | Joins, Aggregations, Window functions, Partitioning, Bad record handling |
| Day 5 | 4 Hours | Streaming & Auto Loader | Structured Streaming, Auto Loader, Watermarking, Checkpointing |
| Day 6 | 4 Hours | Unity Catalog & Security | Managed/external tables, Access control, Lineage, Token management |
| Day 7 | 4 Hours | BI, SQL & Databricks SQL | Databricks SQL, Dashboards, Power BI integration, Delta Live Tables |
| Day 8 | 4 Hours | Data Governance & Quality in Databricks | Data expectations, Constraints, Expectations in DLT, Unity Catalog auditing, Alerting & Monitoring |
| Day 9 | 4 Hours | Performance Tuning & Optimization | Caching, Broadcast joins, Z-Ordering, File sizing, Cluster config tuning, Query optimization |
| Day 10 | 4 Hours | Real-time Retail Analytics Project | Streaming ingestion, Bronze-Silver-Gold pipeline, Fact/Dim tables, BI dashboard |
Courses taught by experienced professors and industry professionals.
Get the best of worlds Hirekeyz’s certification and Support for Databricks Certification.
40+ Hours of learning of new tools, models and projects.
Access to videos, quizzes, and discussions for an engaging learning experience.
Access quality education without the high cost of traditional classrooms.
Get access to recorded videos and assessments.
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