A multinational catering company, MMC, is studying the popularity of a new food product in relation to the weekday and then adjust their marketing strategy appropriately. MMC needs to collect the sales reports of this product from all branches which may be using different kinds of computer systems. As a result, data sources are numerous and in different formats. Now, MMC intends to use big data analytics to analyze the maximum sales figure of each product of each branch. MMC would adopt Hadoop and MapReduce as the software appliances. Before deployment, MMC wants to test the application development algorithm. Assume the following streams of 30 test transaction data have been transformed into standard format already and are grouped in entity with format bracketed in: (Product code, Branch code, Weekday, Sales amount) and each entity is separated by a space: (110,20,Sat,6000) (118,20,Fri,9000) (110,23, Wed, 10000) (118,20,Sat,25000) (118,23,Tue,3000) (1 10,23,Fri,8000) (110,20, Wed,4000) (118,20,Wed,4000) (110,23,Mon,20000) (118,23,Mon,2000) (118,23, Thu,5000) (110,23,Sun,50000) (118,20,Mon,3000) (118,20,Thu,6000) (1 10,20,Mon, 10000) (118,23,Sun, 15000) (1 10,23, Thu, 15000) (118,20, Tue,5000) (110,20,Fri,3000) (118,23,Fri,5000) (1 10,20, Thu,4500) (110,23,Sat,25000) (118,23, Wed,4000) (110,20, Tue,5000) (1 10,20,Sun,20000) (118,23, Sat,20000) (118,20,Sun, 10000) (110,23, Tue,20000) You are required to answer the following: a) Assume there are 3 data nodes to be used inside HDFS, based on Apache MapReduce technique, perform the splitting function and list your answers using appropriate diagrams. Explain your work. [2 marks]