![]() Only a small percentage of companies had the discipline to design and implement the required data integration processes. ![]() It was intellectually very appealing, but there were crucial stumbling blocks to implementing this approach: The ETL layer staged all the data from the source systems and then directly parsed the data to the data marts. The conformed dimensions approach tied disparate data marts into a logical “single version of the truth” without the need for a DW, which appealed to those who still had a bias against DWs. Our recommendation is to use virtual information marts, which we describe in Chapter 14. What we need is a way to quickly create and change them, with low maintainability costs. We don’t recommend preventing the use of conformed dimensions. Teams that produce such deformed dimensions often are likely to avoid documenting them, adding more headaches for their successors. ![]() The end result of this approach is that the “conformed” dimension cannot sustain any further changes due to unclear and unmanageable changes to the structure and unclear or complex dependencies, and it becomes a “deformed” dimension: a nightmare requiring huge reengineering costs when touched in the future. This approach is practiced when developers want to avoid creating new conformed dimensions due to the amount of required testing of existing facts and dimensions. The opposite practice is to add more attributes and data into existing conformed dimensions in order to avoid adding new dimensions. ![]() We call this practice “dimension-itis,” which leads to an unmanageable number of dimensions that are all the same, somehow… nonconformed. In other cases, they copy the structure and data of existing conformed dimensions into new stars and extend them with new features, leaving the conformed dimension in the old model untouched (therefore, no testing is required) and adding nonconformed dimensions again. Instead, they create new, additional conformed dimensions to avoid the reengineering costs, leading to nonconformed dimensions. This overhead of maintaining conformed dimensions often leads to the practice that developers don’t touch existing conformed dimensions in order to avoid testing. Therefore, the use of conformed dimensions incurs a change impact that might limit the agility of the development team. Whenever the structure of the content of a conformed dimension is modified, the impact on each dependent star schema has to be reviewed and properly tested. This might and probably will occur in later sprints of the project. To support such conformed dimensions, it is required that any change to a conformed dimension should not break one of the dimensional stars which uses the conformed dimension. In order to support cross-process analysis between FactConnection and FactAirportVisit, it is crucial that both conformed dimensions have exactly the same structure and data. Both share two conformed dimensions, DimAirport and DimDate, which are shown in the center of the diagram. Each of them has a number of connected dimensions. In this example, there are two star schemas, with their fact tables in the center: FactConnection on the left and FactAirportVisit from Figure 7.1 on the right. Two star schemas connected by conformed dimensions (physical design). It is possible to build everything from a near microscopic scout ship to colossal dreadnoughts that are larger than a star.Ī sequel Star Ruler 2 was announced on Aug with a prospective launch date of late 2014.Figure 7.4. The most unusual feature of Star Ruler's ship building system is the ability to scale ships. Things like a bridge, life support, crew quarters, and power generators are necessary for most ships. For example, a 2.0 railgun will do half as much damage as a 4.0 railgun, which is the largest size, but will also consume half the power. Each component can be scaled, and its effects scaled with it. A station hull is very resilient, and offers the most component space, but cannot mount engines. For example, a Heavy hull is more resilient, but offers less space for components. Different hulls will fulfil different purposes. One of Star Ruler's most impressive components is the ship construction. Key differences from other games of the genre are: Detailed unit creation, behavior, and automation customization, physically modeled star systems and orbiting bodies, and a lack of traditional maintenance and unit count cap game mechanics. Star Ruler also features Newtonian mechanics in its ship movement. Gameplay occurs in a single space in real-time with the rate of time determined by the player. Generated systems may have orbiting planets, moons, asteroids, comets, or aggressive, capturable, NPC assets. The size of the in-game universe is only limited by the processing power of the user's computer. Star Ruler features a 1 to 10,000+ star system count galaxy of configurable shape.
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