Description
Quickly find solutions to common programming problems encountered whilst processing big data. Content is presented in the preferred problem-solution format. Look up the programming problem that you wish to have to unravel. Read the solution. Apply the solution immediately on your own code. Problem solved!
PySpark Recipes covers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You are going to discover ways to apply RDD to unravel daily big data problems. Python and NumPy are included and make it easy for new learners of PySpark to take note and adopt the model.
What You Will Learn
- Understand the advanced features of PySpark2 and SparkSQL
- Optimize your code
- Program SparkSQL with Python
- Use Spark Streaming and Spark MLlib with Python
- Perform graph analysis with GraphFrames
Who This Book Is For
Data analysts, Python programmers, big data enthusiasts