Implementing a Data Analytics Solution with Azure Databricks (DP-3011)
This one-day, hands-on course introduces learners to building scalable data analytics solutions using Azure Databricks and Apache Spark. Participants will explore how to ingest, transform, and analyze large datasets using Spark DataFrames, Spark SQL, and PySpark. The course emphasizes practical skills in managing distributed data processing, optimizing Delta Lake tables, and orchestrating workloads with Lakeflow Jobs and pipelines. Learners will also gain experience in data governance and security using Unity Catalog and Microsoft Purview, ensuring their solutions are secure and production-ready. Through guided exercises and collaborative notebooks, participants will build confidence in designing ETL pipelines, enforcing data quality, and automating analytics workflows. Implementing a Data Analytics Solution with Azure Databricks (DP-3011) Benefits In this course, you will: Navigate the Azure Databricks workspace and identify key workloads. Ingest and explore data using Spark Dat