Database Reference
In-Depth Information
Table 19.1
Examples of Project Success Criteria
Total project cost does not exceed initial budget by more than
Z
%.
Delivery schedule does not exceed project timeline by more than
Z
%
All high priority items identified in the BRD are delivered in the first
release.
Daily loads are complete by 6 a.m. daily.
Table 19.2
Examples of Business Objectives and Metadata
Business Objective
Stakeholder Success
Criteria
Measurement
Identify the Internet display
ads that are most successful in
driving customers to buy our
products online.
Marketing
Identifying Technical Challenges
No doubt you will encounter technical challenges while building and
implementing your big data solution. This section will help you identify
someofthosechallengesbeforeyougetstarted.We'lldiscussenvironmental
challenges that you will face and proposed solutions for them. We'll follow
that up with additional resources, helping to ensure that your team's skillset
is ready for implementing and supporting a big data environment.
Environmental Challenges
There are a few challenges that are specific to your environment that you
will have to take into account. Two of the challenges surround your data.
Planning for your data volume and the growth through incremental data
changes will be vital to your success. Within that data, understanding the
privacy laws that surround your data will be critical to both success of the
solution and avoiding missteps with governing authorities.
Data Volume and Growth
One of the technical challenges you need to tackle up-front is the initial data
volume and growth. You want to consider two important factors here:
