ETL System Research Articles

Arriving at the Results by Comparing with Traditional Approach to My Approach in Deriving Function Points for ETL Operations

It can be hard to guess how much data will need to be put into the data warehouse when the whole history of the transaction system is moved there. This is especially true when the transfer process could take weeks or even months. The ETL system's parts must be broken down into its three independent stages, nevertheless, when estimating a big starting load. Data extraction from source systems, Creating the dimensional model from data, Loading the data warehouse and timing estimates for the extraction process. Surprisingly, data extraction from the source system may take up the majority of the ETL procedure. Online transaction processing (OLTP) systems are simply not built to return those massive data sets from the data warehouse's historic load, which extracts a tremendous quantity of data in a single query. However, the daily incremental loads and the breath-of-life historic database loads are very different. In any case, fact-table filling requires data to be pulled in a different way than what transaction systems are able to do. ETL extraction procedures frequently call for time-consuming techniques like views, cursors, stored procedures, and correlated subqueries. It is essential to anticipate how long an extract will take to begin before it does. Calculating the extract time estimate is challenging. Due to the hardware mismatch between the test and production servers, estimates based on the execution of the ETL operations in the test environment may be greatly distorted. Sometimes working on certain projects where an extract task would run continuously and until it eventually failed, at which point it would be restarted and run once more until it failed. Without producing anything, days or even weeks passed. One must divide the extract process into two simpler steps in order to overcome the challenges of working with large amounts of data. Response time for queries. the interval between when the query is conducted and when the data starts to be returned. It is pertinent that effort arrival for ETL Operations for Data Marts and DWH projects in terms of Function Points which is a scientific way is essential. In the last paper, I have talked about general System Characteristics to arrive at Value Adjustment Factor. In this paper, I came up with results. I compared my findings with the conventional FPA on industrial projects in order to evaluate the Function Point Analysis’s suitability for Data Mart projects. I outline the strategy, implementation, and outcomes analysis of this validation in this section.

ETL Maturity Model for Data Warehouse Systems: A CMMI Compliant燜ramework

The effectiveness of the Business Intelligence (BI) system mainly depends on the quality of knowledge it produces. The decision-making process is hindered, and the user’s trust is lost, if the knowledge offered is undesired or of poor quality. A Data Warehouse (DW) is a huge collection of data gathered from many sources and an important part of any BI solution to assist management in making better decisions. The Extract, Transform, and Load (ETL) process is the backbone of a DW system, and it is responsible for moving data from source systems into the DW system. The more mature the ETL process the more reliable the DW system. In this paper, we propose the ETL Maturity Model (EMM) that assists organizations in achieving a high-quality ETL system and thereby enhancing the quality of knowledge produced. The EMM is made up of five levels of maturity i.e., Chaotic, Acceptable, Stable, Efficient and Reliable. Each level of maturity contains Key Process Areas (KPAs) that have been endorsed by industry experts and include all critical features of a good ETL system. Quality Objectives (QOs) are defined procedures that, when implemented, resulted in a high-quality ETL process. Each KPA has its own set of QOs, the execution of which meets the requirements of that KPA. Multiple brainstorming sessions with relevant industry experts helped to enhance the model. EMM was deployed in two key projects utilizing multiple case studies to supplement the validation process and support our claim. This model can assist organizations in improving their current ETL process and transforming it into a more mature ETL system. This model can also provide high-quality information to assist users in making better decisions and gaining their trust.

OVERVIEW OF OPTIMIZATION METHODS FOR PRODUCTIVITY OF THE ETL PROCESS

One of the important aspects in management and acceleration of processes, operations in databases and data warehouses is ETL processes, the process of extracting, transforming and loading data. These processes without optimizing, a realization data warehouse project is costly, complex, and time-consuming. This paper provides an overview and research of methods for optimizing the performance of ETL processes; that the most important indicator of ETL system's operation is the time and speed of data processing is shown. The issues of the generalized structure of ETL process flows are considered, the architecture of ETL process optimization is proposed, and the main methods of parallel data processing in ETL systems are presented, those methods can improve its performance. The most relevant today of the problem is performance of ETL processes for data warehouses is considered in detail.

OVERVIEW OF OPTIMIZATION METHODS FOR PRODUCTIVITY OF THE ETL PROCES

One of the important aspects in management and acceleration of processes, operations in databases and data warehouses is ETL processes, the process of extracting, transforming and loading data. These processes without optimizing, a realization data warehouse project is costly, complex, and time-consuming. This paper provides an overview and research of methods for optimizing the performance of ETL processes; that the most important indicator of ETL system's operation is the time and speed of data processing is shown. The issues of the generalized structure of ETL process flows are considered, the architecture of ETL process optimization is proposed, and the main methods of parallel data processing in ETL systems are presented, those methods can improve its performance. The most relevant today of the problem is performance of ETL processes for data warehouses is considered in detail.

Business Intelligence for the Programs of the Secretaries of Health, Education and Planning in a Territorial Entity

Territorial entities in Colombia are bound by the law to register and report to different instances the control information of the government programs they administer. However, so much information is distributed on various state and owned platforms that the result is processed and generated in different formats. This situation makes the comprehensive management of territorial data difficult, since, although the information exists, it is isolated, and its analysis is carried out independently by each party responsible for the process. The objective of this research is the Implementation of a business intelligence model that allows integration and analysis of data from the programs of the Health, Education, and Planning ministries for a Territorial Entity. Ralph Kimball's methodology was used, implementing a star topology model in the Datamart using MySQL as a database manager, an ETL system was built with the Pentaho tool which allows the extraction, transformation, and loading of the data in the Datamart. The cubes, reports and Dashboard are obtained with the management of tools such as Pentaho and Power BI, thus it is possible to make a correct interpretation of the resulting information. After applying Business Intelligence, it is possible to generate an adequate analysis of the information, allowing decision-making and application of new strategies to solve specific problems using control panels, visualization of indicators and generation of reports.

Ethane to liquids via a chemical looping approach – Redox catalyst demonstration and process analysis

The inability to economically transport ethane from distributed shale gas production sites results in the “rejection”, i.e. flaring or reinjection, of this important petrochemical feedstock. Therefore, a technology capable of efficiently converting geographically isolated ethane into transportable liquid fuels would effectively exploit this abundant yet wasted resource. We proposed a modular ethane-to-liquids (M−ETL) system that employs a chemical looping-oxidative dehydrogenation (CL-ODH) scheme to convert ethane into olefins via cyclic redox reactions. The olefins would subsequently undergo oligomerization to form mid-distillate liquid fuels. In this study, a sodium molybdate promoted CaTi0.1Mn0.9O3 core-shell redox catalyst (CaTi0.1Mn0.9O3@Na2MoO4) is presented as a potentially viable, redox-active catalyst for the CL-ODH of ethane to ethylene. Performance data were collected from 1,600 + hours (>4,000CL-ODH cycles) of packed bed operations at varying temperatures and space velocities. 52 – 58% single-pass olefin yields at 725 and 730 °C were obtained with relatively low (2.5 – 8%) COx selectivity. The experimental data were used as inputs to an ASPEN Plus® based M−ETL system model to evaluate its performance. Sensitivity analyses were performed on the CL-ODH and oligomerization sections of the M−ETL system, and the results were used to inform economic analysis of the process. The techno-economic analysis (TEA) indicates that the introduction of recycle to the system provides flexibility for profit generation for both high (Xethane = 0.75) and low (Xethane = 0.58) conversion cases. Additionally, TEA results demonstrate that electrical cogeneration can be economically attractive under certain scenarios.

Highly efficient planar heterojunction perovskite solar cells with sequentially dip-coated deposited perovskite layers from a non-halide aqueous lead precursor.

High-performance planar heterojunction (PHJ) perovskite solar cells (PrSCs) with MAPbI3 perovskite films were fabricated using a facile, environmentally benign, efficient and low-cost dip-coating deposition approach on a bilayered ZnO/TiO2 electron transport system from aqueous non-halide Pb(NO3)2. Outstanding performance of PrSCs was achieved due to the PHJ configuration of FTO/TiO2/ZnO/MAPbI3/spiro-OMeTAD/MoO3/Ag. These PHJ PrSCs exhibited better performance and stability with thinner ZnO layers in contrast to those with mesoporous TiO2 scaffolds, indicating that the thickness of the ZnO layer in the PHJ architecture significantly affected the surface coverage, morphology, crystallinity, and stability of the MAPbI3 perovskite films processed by dip-coating deposition.

Improved Use of ETL Tool for Updation and Creation of Data Warehouse From Different RDBMS

ETL plays a very important role in any organization in the perspective of taking critical business decisions. The companies can use ETL tool to analyze their business data and answer complex business queries which Transactional databases cannot answer. ETL is a method of moving the data from various sources into a data warehouse. If the data source is changed, ETL facilitates updates on data warehouse automatically. Hence there is a need for welldesigned and documented ETL system for the success of a Data Warehouse project. The Proposed paper shows the execution of ETL operation using Visual Studio 2017 with SQL Server and PowerBi with MS Excel. All the ETL operation steps executed using Visual Studio 2017 with SQL Server and PowerBi with MS Excel provides the improved results for all types of Complex Business Analytics and Queries on top of Data Warehouse. A comparison of these two technologies are carried out.

1886P - Streamlining multi-omic and artificial intelligence analysis through interrogative biology and baicis for translational precision medicine applications in clinical oncology

Background: Despite advances in high throughput molecular technologies, increased availability of clinical information, and access to complex population level datasets, translating this information into causal and actionable clinical guidance in oncology remains a challenge. Methods: The BERG Interrogative Biology platform deconstructs the established paradigm by using patient biology to guide the entire drug development process from R&D to clinic, leading to improved clinical outcome. In order to properly characterize the molecular phenotype of patients or disease states, this platform allows for systematic interrogation of each biological sample by high-throughput multi-omic technologies such as proteomics, lipidomics and metabolomics. This is then combined with further analytical methods that allows for assessment of sample quality through statistical, environmental/demographic influence, sample handling, and pharmacological impact markers to elucidate causal molecular signal from inherent noise. Results: BERG ETL System uses a proprietary data-driven algorithm to automatically extract, normalize, correct eventual systematic errors, align and unify all data sources and types, outputting a harmonized molecular and/or clinical profile, which can be used for summary reports such as patient dashboards, standard analysis such as statistics and machine learning, and to be analyzed by BERG’s Artificial Intelligence (AI) Technology, bAIcis. When applied to clinical trial information, bAIcis uses a multi-layer method to identify clinical and molecular markers that can stratify patients based on trial outcomes such as “Response to Treatment”, “Quality of Life” or “Adverse Events” as well as identification of disease drivers. Conclusions: Using this approach a comprehensive understanding of causal drivers, predictive biomarkers aligned with therapeutic benefit, and identification of adverse event populations in cancer indications can be elucidated. This is streamlined through an AI driven platform based on quality metric to support precision medicine in oncology drug development. Editorial acknowledgement: Khampaseuth Thapa, Berg, LLC. Legal entity responsible for the study: Berg, LLC. Funding: Berg, LLC. Disclosure: L. Rodrigues, M.A. Kiebish, G. Miller, L. Zhang, V. Vemulapalli, V.K. Vishnudas, V.R. Akmaev: Employee, and stock owner: Berg, LLC. R. Sarangarajan: Co-founder, employee and stock owner: Berg, LLC. N.R. Narain: Co-founder, President, CEO, and stock owner: Berg, LLC.

Foundry: a message-oriented, horizontally scalable ETL system for scientific data integration and enhancement.

Data generated by scientific research enables further advancement in science through reanalyses and pooling of data for novel analyses. With the increasing amounts of scientific data generated by biomedical research providing researchers with more data than they have ever had access to, finding the data matching the researchers' requirements continues to be a major challenge and will only grow more challenging as more data is produced and shared. In this paper, we introduce a horizontally scalable distributed extract-transform-load system to tackle scientific data aggregation, transformation and enhancement for scientific data discovery and retrieval. We also introduce a data transformation language for biomedical curators allowing for the transformation and combination of data/metadata from heterogeneous data sources. Applicability of the system for scientific data is illustrated in biomedical and earth science domains.

Drilling Material Data Warehouse ETL System Research Based on Crowd-Sourcing

Drilling material data warehouse is an important platform for assisting drilling engineering decision support and data analysis. The construction of high-efficiency and high-quality enterprise-level data warehouse puts high requirements on data quality. The operation targets of oil and gas drilling engineering are buried underground, and there are difficulties in data obtaining. This causes many uncertain data in the oil and gas drilling business database. At the same time, the business database in one area is quite different from those of other areas due to geographical environmental impacts ,so the database selection and integration strategy is uncertain . In order to solve these uncertain problem, this paper proposes building a drilling materials data warehouse ETL system based on crowd-sourcing, and improve the data quality of the data warehouse, thereby improving the efficiency of data warehouse construction.

Duomenų migravimo iš OLTP į OLAP duomenų bazę greitaveikos tyrimas

Duomenų sinchronizacija tarp kelių sistemų yra vienas iš dažniausiai pasitaikančių procesų. Iš esamų duomenų norima atlikti analizę, kuria naudojantis būtų galima priimti tam tikrus sprendimus, padėsiančius pateikti išvadas apie organizacijų veiklas. Šiame darbe analizuojamas duomenų migravimo procesas tarp „Oracle“ ir „Microsoft SQL Server“ duomenų bazių valdymo sistemų naudojantis skirtingomis duomenų įkėlimo metodologijomis ir sistemų teikiamomis technologijomis.

Efficient polymer solar cells enabled by low temperature processed ternary metal oxide as electron transport interlayer with large stoichiometry window.

Highly efficient organic photovoltaic cells are demonstrated by incorporating low temperature solution processed indium zinc oxide (IZO) as cathode interlayers. The IZOs are synthesized using a combustion synthesis method, which enables low temperature processes (150-250 °C). We investigated the IZO films with different electron mobilities (1.4×10(-3) to 0.23 cm2/(V·s)), hydroxide-oxide content (38% to 47%), and surface roughness (0.19-5.16 nm) by modulating the ternary metal oxide stoichiometry. The photovoltaic performance was found to be relatively insensitive to the composition ratio of In:Zn over the range of 0.8:0.2 to 0.5:0.5 despite the differences in their electrical and surface properties, achieving high power conversion efficiencies of 6.61%-7.04%. Changes in composition ratio of IZO do not lead to obvious differences in energy levels, diode parameters and morphology of the photoactive layer, as revealed by ultraviolet photoelectron spectroscopy (UPS), dark current analysis and time-of-flight secondary ion mass spectrometry (TOF-SIMS) measurements, correlating well with the large IZO stoichiometry window that enables efficient photovoltaic devices. Our results demonstrate the robustness of this ETL system and provide a convenient approach to realize a wide range of multicomponent oxides and compatible with processing on flexible plastic substrates.

Design of Marine Data Warehouse ETL System

ETL refers to the process of data extracting, transformation and loading and is deemed as a critical step in ensuring the quality, data specification and standardization of marine environmental data. Marine data, due to their complication, field diversity and huge volume, still remain decentralized, polyphyletic and isomerous with different semantics and hence far from being able to provide effective data sources for decision making. ETL enables the construction of marine environmental data warehouse in the form of cleaning, transformation, integration, loading and periodic updating of basic marine data warehouse. The paper presents a research on rules for cleaning, transformation and integration of marine data, based on which original ETL system of marine environmental data warehouse is so designed and developed. The system further guarantees data quality and correctness in analysis and decision-making based on marine environmental data in the future.

Towards a Low Cost ETL System

Data Warehouses store integrated and consistent data in a subject-oriented data repository dedicated especially to support business intelligence processes. However, keeping these repositories updated usually involves complex and time-consuming processes, commonly denominated as Extract-Transform-Load tasks. These data intensive tasks normally execute in a limited time window and their computational requirements tend to grow in time as more data is dealt with. Therefore, we believe that a grid environment could suit rather well as support for the backbone of the technical infrastructure with the clear financial advantage of using already acquired desktop computers normally present in the organization. This article proposes a different approach to deal with the distribution of ETL processes in a grid environment, taking into account not only the processing performance of its nodes but also the existing bandwidth to estimate the grid availability in a near future and therefore optimize workflow distribution.

Design and Implementation of a Data Warehouse ETL Tray Program

This paper presents an ETL system for a data warehouse designed for a PVC profile manufacturing enterprise. The system implements the data extraction, data transformation and load from the data sources of ERP system, CRM system and production line operation data collection system. The ETL requirements are discussed. The system design and implementation methods, including system structure, functions, data processing methods as well as tray program implementation are addressed.

Design and Realization of ETL System on Digital Library Environment

Design and Realization of ETL System on Digital Library Environment