In this paper, we argue that in many “Big Data” applications, getting data into the system correctly and at scale via traditional ETL (Extract, Transform, and Load) processes is a fundamental roadblock to being able to perform timely analytics or make real-time decisions. The best way to address this problem is to build a new architecture for ETL which takes advantage of the push-based nature o...

Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) processes are responsible for the extraction of data from heterogeneous operational data sources, their transformation (conversion, cleaning, normalization, etc.) and their loading into DWs. ETL processes are a key componen...

Extraction, Transformation, and Loading (ETL) processes are responsible for the operations taking place in the back stage of a data warehouse architecture 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...

The electron transport layer (ETL) plays a critical role in high efficiency perovskite solar cells. In this study, an anodic TiO2 nanotube film was transformed into a TiO2 nanotube network film, which maintained its advantage as an efficient ETL for perovskite solar cells. Compared with the mesoporous TiO2 nanoparticle ETL, the TiO2 nanotube network ETL can increase the efficiency of perovskite...

These instructions Poor performance can turn a successful data warehousing project into a failure. Consequently, several attempts have been made by various researchers to deal with the problem of scheduling the Extract-Transform-Load (ETL) process. In this paper present several approaches in the context of enhancing the data warehousing Extract, Transform and loading stages. To focus on enhanci...

ETL process (Extracting, Transforming, Loading) is responsible for extracting data from heterogeneous sources, transforming and finally loading them into a data warehouse. New technologies, particularly Internet and Web 2.0, generating data at an increasing rate, put the information systems (IS) face to the challenge of Big Data. These data are characterized by, in addition to their excessive s...

Many of the ETL products in the market today provide tools for design of ETL workflows, with very little or no support for optimization of such workflows. Optimization of ETL workflows pose several new challenges compared to traditional query optimization in database systems. There have been many attempts both in the industry and the research community to support cost-based optimization techniq...

Popular web templating languages embed general-purpose programming languages. The Extensible Templating Language was born out of questioning the fundamental assumption that the front-end markup-generating engine of a multi-tier web application requires all the power and expressiveness implied by that design. ETL restricts the set of language features to a useful subset that provide the necessar...

The software processes that facilitate the original loading and the periodic refreshment of the data warehouse contents are commonly known as Extraction-Transformation-Loading (ETL) processes. The intention of this survey is to present the research work in the field of ETL technology in a structured way. To this end, we organize the coverage of the field as follows: (a) first, we cover the conc...

Data Warehouses (DWs) are repositories containing the unified history of an enterprise used by decision makers for performance measurement and decision support. The data must be Extracted from heterogeneous information sources, Transformed and integrated to be Loaded (ETL) into the DW, using ETL tools, which are mainly procedural. This means that the knowledge of the procedures and adopted poli...