Join Alan Simon for an in-depth discussion in this video What you should know, part of Transitioning from Data Warehousing to Big Data.
- You only need to have prior exposure to a couple of topics to get the most out of this course. You should understand the basics of data warehousing and business intelligence. Though if you're not very familiar with either of these disciplines, we'll cover the basics before we take a closer look at both the strengths and weaknesses of traditional data warehousing. Also, both data warehousing and big data exist to provide data driven insights to business users for the purpose of making informed decisions and then taking the most appropriate actions based on those decisions.
Just a basic understanding of using reports and dashboards to understand what's going on inside your organization or out in the marketplace is sufficient for our discussion. Finally, you don't need to know anything about big data or Hadoop since we cover the fundamentals in this course before we explore how to apply those technologies and approaches into the world of data warehousing and business intelligence.
- Exploring big data, Hadoop, and analytics
- Examining the shortcomings of traditional data warehousing
- Comparing big data architectures for next-generation data warehousing
- Understanding alternatives
- Building a roadmap
- Managing big data-driven projects
- Monitoring and measuring success