We can analyze data quickly now. The data can be any size. The basic skills you need are R language skills and Machine learning for analyzing the data. MapReduce Techniques The MapReduce techniques and parallel processing in Hadoop allow us to cheaply and efficiently implement MapReduce on Internet scale problems. We use SQL like tools Pig and Hive. NoSQL We analyze so-called NoSQL storage solutions exemplified by HBase for their critical features: speed of reads and writes, data consistency, and ability to scale to extreme volumes. Data Architect Requirements Data architects develop, analyze and administer data for businesses, schools and other organizations. They need sophisticated design and development skills to collect data and translate it for use in computer applications and systems. Most data architects have a bachelor's degree in information technology (IT), as well as years of experience in the IT field. Experience with programs such as Microsoft Excel, Ac...