Zhan Zhang presents improvements made to bring HBase data efficiently into Spark with DataFrame support. The improvements include high performance by moving computation to data and reducing network overhead through partition pruning and column pruning. Full DataFrame support is provided, allowing Spark SQL and integrated language queries to run on existing HBase tables with Java primitive type support.