Description

What is this course about:

This course covers all the fundamentals about Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building big data processing pipeline and data analytics applications.

This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom.  And much much more.

Who this course is for:

• Anyone who want to fully understand how Apache Spark technology works and learn how Apache Spark is being used in the field.
• Software engineers who want to develop Apache Spark 2.0 applications using Spark Core and Spark SQL.
• Data scientists or data engineers who want to advance their career by improving their big data processing skills.