Transformation pattern

Data transformation is the heart of data processing, which in turn supports the data analysis. Any framework that is built to perform data processing should have excellent data transformation capabilities in addition to seamless connectivity with various distributed and scalable data stores. These frameworks are built for specific data processing needs of the organizations by themselves, and they consist of a set of commonly available tools used in a specific way to achieve the data processing goals. Cassandra, in conjunction with Spark and a preferred programming language such as Scala, Java, Python, or R, can be used to perform very effective data transformation and data processing. When choosing the programming language, it is better to choose a functional programming language. In functional programming languages, functions are first-class citizens, and they can be used just like any other data type to pass it as parameters to functions and return functions from...