Building a data warehouse in an energy trading company

Namen diplomskega dela je predstaviti projekt »Izgradnja podatkovnega skladišča v družbi za trgovanje energije«. Diplomsko delo je razdeljeno na tri sklope. V prvem sklopu so, z namenom boljšega razumevanja tematike v nadaljevanju diplomskega dela, na kratko predstavljene značilnosti trga z električno energijo na primeru slovenskega trga z električno energijo. V drugem sklopu (tretje poglavje) so v ospredju osnove podatkovnega skladišča, razlike med dimenzijskim in normaliziranim podatkovnim skladiščem ter opisi vrst analitičnih podatkovnih baz. V zadnjem sklopu je najprej na kratko opisano, kakšno je bilo stanje pred uvedbo podatkovnega skladišča v Skupini GEN-I in definicija njegove arhitekture. Nato so predstavljena orodja in procesi, s katerimi je bil načrtan dimenzijski in analitični model podatkovnega skladišča. V petem, šestem in sedmem poglavju sledi obravnava nekaterih najbolj zanimivih izzivov, ki so nastali pri implementaciji podatkovnega skladišča, kot so obravnavanje časovnih con, particioniranje tabel dejstev in indeksacije podatkovnega skladišča. Diplomsko delo se zaključi s sklepno besedo o učinkih in vplivu vzpostavljenega podatkovnega skladišča v Skupini GEN-I.The main objective of the thesis is to present a project »Building a data warehouse in an energy trading company«. Thesis is divided into three sections. The first section contains a brief introduction to the characteristics of the electricity market in the case of Slovenian market. Second section starts with theoretical background of data warehousing, its concepts of data retrieval, consolidation and periodicity. It also contains a description of differences between normalized and dimensional data warehouse and differences between various types of online analytical processing cubes. The last section is divided into several chapters. Fourth chapter contains a brief description of a situation regarding data fragmentation in company GEN-I before the data warehouse implementation, provides some basic information about the project, shows data warehouse architecture and provides definition of dimensional model. Fourth chapter is concluded with description of MOLAP database scheme. Fifth, sixth and seventh chapters contains a description of some of the most exciting challenges and their solutions which were encountered during the development and implementation of the data warehouse. Thesis is concluded with a final word about the impact the project had after introducing it to the end users