Join Alan Simon for an in-depth discussion in this video What you should know, part of Big Data Foundations: Program Management.
- You only need to have prior exposure to a couple of topics, and then you'll get the most out of Manage Your Organization's Big Data Program. You should understand the basics of big data and analytics, such as the three Vs of big data, volume, variety and velocity, and how technology featuring those characteristics offers significant advances over earlier generation data warehousing and data marts. You should have a cursory familiarity with components such as the Hadoop distributed file system or HDFS, MapReduce, and also leading Hadoop vendors such as Cloudera, Hortonworks, Pivotal, IBM, and others.
Finally, you should have a basic understanding of the complexity of enterprise-scale applications and systems as compared to smaller scale ones, which is why managing a big data program can be challenging.
Interested in leading the charge? Manage Your Organization's Big Data Program is for business intelligence professionals who are tasked with implementing a big data and analytics program at their companies. Alan Simon explains the role of program managers, their desired skills, and the people they need on their core team. After the preliminary steps—defining program direction, budget, and initial projects—Alan helps map project milestones and define the KPIs to help track their progress. In chapter 6, you survey the risks to the program, from financial and technological standpoints. By the end of the course, you'll have the skills to be successful in a big data leadership role—and drive data-driven insights throughout the enterprise.
- What makes a good big-data program manager
- How to recruit members of a big data team
- Defining the program direction
- Creating an initial list of projects
- Identifying allies and adversaries
- Determining program milestones
- Managing milestone progress
- Assessing program risks