This chapter extends the Stock Screener Application by a number of enhancements. We made changes to the data model to demonstrate the modeling by query techniques and how denormalization can help us achieve a high-performance application. We also tried the batch feature provided by Cassandra 2.0.

Note that the source code in this chapter is not housekept and can be refactored somehow. However, because of the limit on the number of pages, it is left as an exercise for the reader.

The Stock Screener Application is now running on a single node cluster.

In the next chapter, we will delve into the considerations and procedures of expanding it to a larger cluster, which is quite common in real-life production systems.