Project Management for
Big Data
Project Management in the world of “Big Data” is a delicate dance
involving maximizing assets, anticipating and solving problems, controlling the
liabilities. In these cases, an agile methodology is almost a necessity
due to the constantly evolving nature of big data projects. The agile process
typically consists of 15 minute “stand up” SCRUM meetings multiple times per
week. The SCRUM meeting between team members and stakeholders, involves the system
architecture, service integration, data analytics and reporting teams. The regular face to
face or direct communication about the project between team members allows for
the team to work together and adapt to solve problems and address changing
needs.
It is a more flexible and holistic approach than traditional
project management. Scrum utilizes the awareness that a problem cannot be fully
comprehended or defined. This allows more project focus to be placed on
optimizing a team's ability to provide deliverables by enabling the team to
respond to emerging requirements and to adapt to constantly evolving changes.
The complexity of data and evolving nature of technology for Big
data projects require agile methodology, strong Project management and and a skilled team, which goes without saying.
Want
to learn more about Project Management and Agile Methodology for your big data projects?
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