Course description

Master modern data engineering with the DP-750 – Databricks Data Engineer course, designed for professionals who want to build scalable data pipelines, big data solutions, and cloud-based analytics platforms using Databricks. Learn how to work with Apache Spark, Delta Lake, data transformation workflows, real-time data processing, and enterprise data engineering practices in modern cloud environments. This hands-on training equips learners with in-demand skills in Databricks, big data engineering, data pipeline automation, cloud analytics, and scalable data architecture for AI and business intelligence applications.

What will i learn?

• Learn how to design and build scalable data engineering solutions using Databricks, Apache Spark, and cloud-based analytics platforms.
• Gain hands-on experience in creating automated data pipelines for batch processing, streaming data, and real-time analytics workflows.
• Understand how to work with Delta Lake, data lakes, data warehousing, and modern data architecture for enterprise environments.
• Explore data transformation, ETL/ELT processes, data integration, and optimization techniques for high-performance big data processing.
• Learn to manage structured and unstructured data using Databricks notebooks, Spark SQL, PySpark, and distributed computing concepts.
• Implement data governance, security, monitoring, and performance tuning best practices for reliable and scalable data platforms.
• Develop industry-ready skills for careers in Data Engineering, Big Data Analytics, Cloud Data Platforms, AI Data Pipelines, and enterprise analytics solutions.

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