The proliferation of business intelligence applications moves most organizations into an era where data becomes an essential part of the success factors. More and more business focus has thus been added to the integration and processing of data in the enterprise environment. Developing and maintaining Extraction-Transform-Load (ETL) processes becomes critical in most data-driven organizations. ...

Brown algae are multicellular marine organisms evolutionarily distant from both metazoans and land plants. The molecular or cellular mechanisms that govern the developmental patterning in brown algae are poorly characterized. Here, we report the first morphogenetic mutant, étoile (etl), produced in the brown algal model Ectocarpus siliculosus. Genetic, cellular, and morphometric analyses showed...

Business Intelligence (BI) applications require the design, implementation, and maintenance of processes that extract, transform, and load suitable data for analysis. The development of these processes (known as ETL) is an inherently complex problem that is typically costly and time consuming. In a previous work, we have proposed a vendor-independent language for reducing the design complexity ...

Extract-Transform-Load (ETL) programs process data from sources into data warehouses (DWs). Due to the rapid growth of data volumes, there is an increasing demand for systems that can scale on demand. Recently, much attention has been given to MapReduce which is a framework for highly parallel handling of massive data sets in cloud environments. The MapReduce-based Hive has been proposed as a D...

As the analytical capabilities and applications of e-business systems expand, providing real-time access to critical business performance indicators to improve the speed and effectiveness of business operations has become crucial. The monitoring of business activities requires focused, yet incremental enterprise application integration (EAI) efforts and balancing information requirements in rea...

As the analytical capabilities and applications of e-business systems expand, providing real-time access to critical business performance indicators to improve the speed and effectiveness of business operations has become crucial. The monitoring of business activities requires focused, yet incremental enterprise application integration (EAI) efforts and balancing information requirements in rea...

Modern software development methods such as Extreme Programming (XP) favor the use of frequently repeated tests, so-called regression tests, to catch new errors when software is updated or tuned, by checking that the software still produces the right results for a reference input. Regression testing is also very valuable for Extract–Transform–Load (ETL) software, as ETL software tends to be ver...

Actually, a set of ETL software (Extract, Transform and Load) is available to constitute a major investment market. Each ETL uses its own techniques for extracting, transforming and loading data into data warehouse, which makes the task of evaluating ETL software very difficult. However, choosing the right software of ETL is critical to the success or failure of any Business Intelligence projec...

The use of an electronically tunable lens (ETL) to produce controlled phase shifts in interferometric arrangements is shown. The performance of the ETL as a phase-shifting device is experimentally validated in phase-shifting digital holographic microscopy. Quantitative phase maps of a section of the thorax of a Drosophila melanogaster fly and of human red blood cells have been obtained using ou...

Enteropathy-type T-cell lymphoma (ETL) is a rare primary intestinal disorder, particularly in Japan, and there have been few reports on the endoscopic findings of the disease. Here we report detailed endoscopic findings of ETL based on double-balloon enteroscopy and capsule endoscopy. Double-balloon enteroscopy and capsule endoscopy may be useful tools for diagnosing and monitoring the effects ...