Load the data directly into a data warehouse and perform SQL queries to analyze customer behavior patterns.

Use Apache Spark to read the data from the relational database, perform necessary transformations, and store the transformed data in a distributed file system for further analysis.

Use a MapReduce approach to process the data in Apache Spark, as it is more suitable for batch processing.

Use Apache Spark's machine learning libraries to directly predict customer behavior patterns without any data transformation.