Results 211 to 220 of about 13,089 (263)
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Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management, 2011
External data sources (EDSs) being integrated in a data warehouse (DW) frequently change their data structures (schemas). As a consequence, in many cases, an already deployed ETL workflow executes with errors. Since structural changes of EDSs are frequent, an automatic reparation of an ETL workflow after such changes is of a high importance.
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External data sources (EDSs) being integrated in a data warehouse (DW) frequently change their data structures (schemas). As a consequence, in many cases, an already deployed ETL workflow executes with errors. Since structural changes of EDSs are frequent, an automatic reparation of an ETL workflow after such changes is of a high importance.
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A semantic approach to ETL technologies
Data & Knowledge Engineering, 2011Data warehouse architectures rely on extraction, transformation and loading (ETL) processes for the creation of an updated, consistent and materialized view of a set of data sources. In this paper, we support these processes by proposing a tool that: (1) allows the semi-automatic definition of inter-attribute semantic mappings, by identifying the parts
Sonia Bergamaschi +4 more
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2017
Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from heterogeneous sources, their cleansing, customization and insertion into data warehouse. In fact, ETL are the key component of data warehousing process because incorrect or misleading data will produce wrong business decisions.
Assawer Zekri +3 more
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Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from heterogeneous sources, their cleansing, customization and insertion into data warehouse. In fact, ETL are the key component of data warehousing process because incorrect or misleading data will produce wrong business decisions.
Assawer Zekri +3 more
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Principles for an ETL Benchmark
2009Conditions in the marketplace for ETL tools suggest that an industry standard benchmark is needed. The benchmark should provide useful data for comparing the performance of ETL systems, be based on a meaningful scenario, and be scalable over a wide range of data set sizes.
Len Wyatt, Brian Caufield, Daniel Pol
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ETLator - a scripting ETL framework
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017ETL (Extract Transform Load) process is the industry standard term for data extraction, transformation and loading into the Data Warehouse (DW). ETL process is the most resource demanding process in DW implementation and typically has to be evolved and maintained for the duration of the DW. To facilitate the development and maintenance of ETL processes
Miran Radonic, Igor Mekterovic
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Journal of Logic, Language and Information, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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From ETL Conceptual Design to ETL Physical Sketching using Patterns
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018The ETL systems development has been the focus of many research works, addressing the complexity and effort required for their implementation and maintenance, and proposing several techniques that represent valuable contributions to improve the ETL final quality.
Bruno Oliveira 0001, Orlando Belo
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2014
Given that Hadoop-based Map Reduce programming is a relatively new skill, there is likely to be a shortage of highly skilled staff for some time, and those skills will come at a premium price. ETL (extract, transform, and load ) tools, like Pentaho and Talend, offer a visual, component-based method to create Map Reduce jobs, allowing ETL chains to be ...
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Given that Hadoop-based Map Reduce programming is a relatively new skill, there is likely to be a shortage of highly skilled staff for some time, and those skills will come at a premium price. ETL (extract, transform, and load ) tools, like Pentaho and Talend, offer a visual, component-based method to create Map Reduce jobs, allowing ETL chains to be ...
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On the conceptualization of ETL patterns
Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14, 2014Due to their complexity and importance on data warehousing systems development, ETL systems are being a strong research subject approaching several issues especially related to reduce implementation costs, and enhance decision-making processes abilities.
Bruno Oliveira 0001, Orlando Belo
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2019
ETL is an acronym for Extract/Transform and Load. ETL is the engine that drives your visual analytics. Without ETL you would be limited to the shape (existing layout) of the data you start with. In many cases this is OK, but as you progress in visual analytics, you will find yourself wanting to combine data sources, combine fields within data sources ...
Tim Costello, Lori Blackshear
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ETL is an acronym for Extract/Transform and Load. ETL is the engine that drives your visual analytics. Without ETL you would be limited to the shape (existing layout) of the data you start with. In many cases this is OK, but as you progress in visual analytics, you will find yourself wanting to combine data sources, combine fields within data sources ...
Tim Costello, Lori Blackshear
openaire +1 more source