Data integration aims at providing uniform access to heterogeneous data, managed by distributed source systems. Data sources can range from legacy systems, databases, and enterprise applications to web-scale data management systems. The materialized approach to data integration, extracts data from the sources, transforms and consolidates the data, and loads it into an integration system, where ...

Extract-transform-load (ETL) workflows model the population of enterprise data warehouses with information gathered from a large variety of heterogeneous data sources. ETL workflows are complex design structures that run under strict performance requirements and their optimization is crucial for satisfying business objectives. In this paper, we deal with the problem of scheduling the execution ...

Extract, transform and load (ETL) is the core process of data integration and is typically associated with data warehousing. ETL tools extract data from a chosen source, transform it into new formats according to business rules, and then load it into target data structure. Managing rules and processes for the increasing diversity of data sources and high volumes of data processed that ETL must ...

Data warehouse loading and refreshment is typically performed by means of complex software processes called extraction–transformation–loading (ETL). In this paper, we propose a system based on a suite of visual languages for mastering several aspects of the ETL development process, turning it into a visual programming task. The approach can be easily generalized and applied to other data integr...

In database management systems (DBMSs), query workloads can be classified as online transactional processing (OLTP) or analytical (OLAP). These often run within separate DBMSs. hybrid and (HTAP), both may execute the same DBMS. This article shows that it is possible to OLTP OLAP DBMSs, still support timely business decisions from queries running off fresh data. Several setups manage are analyse...

A novel multifunctional inverse opal-like TiO2 electron transport layer (IOT-ETL) is designed to replace the traditional compact layer and mesoporous scaffold layer in perovskite solar cells (PSCs). Improved light harvesting efficiency and charge transporting performance in IOT-ETL based PSCs yield high power conversion efficiency of 13.11%.

In the past few years, several conceptual approaches have been proposed for the specification of the main multidimensional (MD) properties of the data warehouse (DW) repository. However, most of them deal with isolated aspects of the DW and do not provide designers with an integrated and standard method for designing the whole DW life cycle (ETL processes, data sources, DW repository and so on)...

The problem of evolution in the ETL process is investigated. There is no good solution in spite of numerous attempts to solve this problem. A new model to provide data warehouse and ETL scenario evolution is suggested. This model unite two different models of evolution to provide more flexible solution.