Managing a Big Data Project
This section provides some useful information to help you get started to plan and manage your big data project.
Before you get started, you might want to ask yourself the following questions.
Lessons Learned & Best Practices
Before beginning any project, it is best practice to review historical records such as lessons learned for past similar projects.
Before beginning your project, it will prove beneficial to review best practices for big data projects.
If you read the lessons learned above, you will understand the importance of planning your big data project. Many projects fail due to inadequate attention devoted to the planning stage.
PM Skills & Competencies
It is also essential to understand the critical competencies required to successfully manage a big data project.
Another essential step is choosing the appropriate project management methodology for your big data project. Big data projects involve uncovering insights through experimentation and evidence-based findings, thus an iterative methodology lends itself well to such projects. For this reason, many use Agile for project delivery. (You may want to review such concepts as rolling wave planning and progressive elaboration.)
To gain an overview of big data related technologies, you may want to review the Technology Overview.
PM Knowledge Areas
Determining Production Readiness
About Patti Gilchrist
Patti Gilchrist is a Sr. Technical Manager with 25 years experience implementing strategic enterprise initiatives.
Patti has a reputation for effectively translating business problems into innovative solutions and creating strategic roadmaps to achieve business goals.