Unified Big Data Architecture (UDA)

As the volume, velocity, and variety of storage types of typical Big Data sets increase, extraction of information and business insight becomes more difficult. This course will cover a systematic approach in Unified Big Data Architecture that will help make this problem more tractable. Beginning with identification and evaluation of types of data and analyses, the data will then be sourced and processing techniques will be discussed. Using this information, a dimensions-based approach to assess the viability of a big data solution will be covered. Students will then develop a set of logical layers to the solution(s) that define the critical components of a big data solution. This logical layering begins with the acquisition of the data from various data sources and build-out for each step in the process with a continued focus on the end results of deriving business insight. Additional topics include the most common and recurring big data problems and solutions and the use of patterns to enable business and technical users to apply a structured approach to establishing the scope and defining a high-level solution for a big data problem.