Data Engineering on Databricks (Advanced)

Corporate Training

Unlock the full potential of your Data Lakehouse with our Databricks Advanced Data Engineering Corporate Training program.

Spread over four half-days, this reasonably priced comprehensive course covers everything from basic to advanced data engineering. Conducted within a small group, this training provides essential recipes for building a scalable and secure Databricks Lakehouse.

Tailor designed for data professionals seeking to enhance their skills, our training provides hands-on experience with powerful and modern tools on Databricks.

Learn from professional trainers who have conducted over 250+ training programs and have trained thousands of data professionals around the globe.

Master data engineering on Databricks and drive your Data Lakehouse to success!!

This remote and instructor-led training will help prepare for the following Databricks Certifications and uplift skills to practice data engineering at industry scale and much more.

Partner

  • ✺ Day - 1

    Databricks Lakehouse Architecture || Fundamental Databricks Concepts || Delta Lake and Uniform || Introduction Apache Spark || Databricks Unity Catalog || Access Control on Databricks || Training Environment Set-Up

  • ✺ Day - 2

    Auto Loader and Bronze Ingestion Patterns || Streaming Design Patterns || Streaming joins || Deduplication and Quality Enforcement || Incremental Ingestion and SCD on Lakehouse || Clone for Development and Data Backup

  • ✺ Day - 3

    Databricks Workflow and Delta Live Tables || Stored and Materialized Views || User Defined Functions || Storing Data Securely || Granting Privileged Access to PII || Deleting Data in the Lakehouse || Delta Sharing || Reporting Integration || File Serve || Orchestration and Scheduling || Monitoring, Logging & Error handling || AI Powered Data Analytics

  • ✺ Day - 4

    Promoting Code with Repos || Programmatic Platform Interactions (Databricks CLI and REST API) || Managing Costs and Latency || Performance Tuning || Data Governance Best Practices with Unity Catalog || Automation through Terraform and Jenkins || Newly released and Upcoming features on Databricks || Intro to GenAI (SLM/LLM) on Databricks

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