Last updated 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 223.20 MB | Duration: 1h 3m[/center]
Empower Your Data Engineering Journey: Master Azure Databricks and PySpark for Scalable, Efficient, and Data Processing
What you'll learn
Gain a comprehensive knowledge of Azure Databricks, starting with the basics.
Learn to navigate the platform, understand its architecture, and leverage its key features for efficient big data processing.
Explore PySpark, the Python API for Apache Spark, from the ground up. Understand the core concepts of distributed data processing, transformations, and actions
Dive into real-world scenarios that replicate industry challenges.
Through practical examples and case studies, learn how to apply Azure Databricks and PySpark to solve common data processing issues, ensuring readiness
Build a live project from scratch, guiding students through the entire project lifecycle.
From data ingestion and cleaning to advanced analytics and visualization, students will apply their knowledge in a practical setting, reinforcing key concepts.
Discover optimization strategies and best practices to enhance the performance of your Azure Databricks and PySpark projects.
Learn how to troubleshoot common issues, implement efficient coding practices, and maximize the capabilities of the platform for streamlined data processing.
Requirements
No prerequisites
- Kood: Vali kõik
https://www.udemy.com/course/mastering-azure-databricks-and-pyspark-from-basic-to-pro
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