Databricks Associate Developer: Apache Spark with Python
By External Provider
About this course
This course equips you with essential skills for working with Apache Spark using Python, preparing you for Databricks' certification exam. Apache Spark is a powerful open-source engine for processing large-scale data, and mastering it is a key asset in the data engineering and big data domain. Throughout the course, learners will gain hands-on experience with Spark's core components, including data processing, streaming, and machine learning. Practical examples and exercises will build confidence and ensure you're ready for real-world challenges. What sets this course apart is its strong focus on practical skills and real-world applications of Apache Spark. You'll not only learn the theory but also apply your knowledge in hands-on projects that reinforce the concepts. This course is ideal for aspiring data engineers, analysts, or scientists who want to achieve Databricks certification. A solid understanding of Python is required, and familiarity with Pyspark is beneficial, but not mandatory.
What you will learn
- Create and manipulate SQL queries in Apache Spark
- Build complex Spark functions using user-defined functions (UDFs)
- Develop real-time applications using Spark Streaming