data-architecture-a
What Are the Objectives of the Data Vault 2.0 Architecture? There are several objectives of the Data Vault 2.0 architecture; the ...
Fig. 6.3.2 Hadoop-based satellite. In other words, the idea is to allow the business to augment their current infrastructure by ...
Fig. 6.3.3 Hard and soft business rules. The idea is to separate data interpretation from data storage and alignment rules. By d ...
How Does Managed Self Service BI Fit in the Architecture? First, understand that self-service BI in and of itself is a misnomer. ...
Chapter 6.4 Introduction to Data Vault Methodology Abstract One of the most important components of the end-state architecture i ...
Fig. 6.4.1 Data Vault 2.0 methodology overview. The methodology for data vault projects is based on best practices pulled from d ...
applied to the methodology at the levels of key process areas (KPAs) and key performance indicators (KPIs). These pieces are nec ...
first managing the project. The road to agility is paved with metrics and well-defined/well-understood business processes. The D ...
The second component is the recording of business requirement meetings. All business requirement meeting “time” can be shortened ...
review process) can see sprint cycles drop to about 4 weeks. From there, it simply improves to 2 weeks as the team gets better a ...
The difference is that this “lifecycle” is now assigned to a 2-week sprint, with disciplined agile delivery (DAD) overseeing the ...
In order to reach full optimization (or full maturity) for the enterprise BI initiatives, all miniprojects or minisprints must r ...
Customer-focused Total employee involvement (within the reach of the enterprise BI team and business users) Process-centered In ...
Without the business taking action to close the gaps, TQM dissolves to simple data quality initiatives and does not contribute a ...
Chapter 6.5 Introduction to Data Vault Implementation Abstract One of the most important components of the end-state architectur ...
based and data-driven. What's So Important About Patterns? Patterns make life easier. In the enterprise BI world, patterns enabl ...
longer suffers reengineering because of changing requirements. Why Does Reengineering Happen Because of Big Data? Reengineering/ ...
Fig. 6.5.1 Architectural changes and reengineering. The design that is chosen by this team is to type it in by hand to a SQL pro ...
order to accomplish the task? Chances are the answer is no. The team must redesign, reengineer, and rearchitect the process desi ...
information, knowledge, and wisdom that should be recognized by the business intelligence community. Virtualization means many t ...
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