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What is ETL-D

Emerging Perspectives in Big Data Warehousing
A language for the specification of source and target data models. It provides a uniform representation of the various data models involved in the transformations (either as their inputs or the results of their execution).
Published in Chapter:
Development of ETL Processes Using the Domain-Specific Modeling Approach
Marko Petrović (University of Belgrade, Serbia), Nina Turajlić (University of Belgrade, Serbia), Milica Vučković (University of Belgrade, Serbia), Sladjan Babarogić (University of Belgrade, Serbia), and Nenad Aničić (University of Belgrade, Serbia)
Copyright: © 2019 |Pages: 54
DOI: 10.4018/978-1-5225-5516-2.ch010
Abstract
ETL process development is the most complex and expensive phase of data warehouse development so research is focused on its conceptualization and automation. A new solution (model-driven ETL approach – M-ETL-A), based on domain-specific modeling, is proposed for the formal specification of ETL processes and their implementation. Several domain-specific languages (DSLs) are introduced, each defining concepts relevant for a specific aspect of an ETL process (primarily, languages for specifying the data flow and the control flow). A specific platform (ETL-PL) technologically supports the modeling (using the DSLs) and automated transformation of models into the executable code of a specific application framework. ETL-PL development environment comprises tools for ETL process modeling (tools for defining the abstract and concrete DSL syntax and for creating models in accordance with the DSLs). ETL-PL execution environment consists of services responsible for the automatic generation of executable code from models and execution of the generated code.
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