Section 4: Big Data Analytics System Architectures.

The architectural view and advantages of a big data platform

  • Now that a big data system has been selected, provide the summary-level system architecture describing the major subcomponents to be used.
  • Discuss the advantages and rationale for choosing the particular subcomponents.
  • Discuss how this architecture aligns with other major business applications and data management systems within the organization.
  • Discuss new skills that may be required for your organization to utilize this platform.
  • Discuss how this new platform supports new forms of analysis and analytics.

Section 5: Big Data Analytics Techniques

  • Research the various analytics techniques that can be used within the industry, on both traditional data and big data.
  • Propose 3 types of analytics techniques that can be used by the previously proposed big data platform and underlying data within this platform.
  • Discuss the skills required to deliver this big data analytics solution.

Section 6: Big Data Analytics Value Creation

  • Discuss the value and opportunity for including a big data analytics platform within the organization, the future implications of business and big data technology alignment, and uncovering new capabilities that were not possible prior to its inclusion.
  • Discuss how the big data analytics platform allows for ad hoc querying to answer questions that may not have been possible without such a data management platform.
  • Discuss the implications to the traditional analyst role and how big data analytics may augment this role for the chosen organization.
  • Discuss the support model and required skills for maintaining and utilizing the big data analytics platform within your organization.