1,720,958 research outputs found
DESAIN ETL DENGAN CONTOH KASUS PERGURUAN TINGGI
Data Warehouse for higher education as a paradigm for helping high management in order to make an effective and efficient strategic decisions based on reliable and trusted reports which is produced from Data Warehouse itself. Data Warehouse is not a software, hardware or tool but Data Warehouse is an environment where the transactional database is modelled in other view for decision making purposes. ETL (Extraction, Transformation and Loading) is a bridge to build Data Warehouse and transform data from transactional database. In every fact and dimension table will be inserted with fields which represent the construction merge loading as an ETL (Extraction, Transformation and Loading) extraction. ETL needs an ETL table and ETL process where ETL table as table connectivity between tables in OLTP database and tables in Data Warehouse and ETL process will transform data from table in OLTP database into Data Warehouse table based on ETL table. The extraction process will be run with a table database as differentiate ETL process and an ETL algorithm which will be run automatically in idle transactional process, along with daily transactional database backup when the information system are not used
DESAIN ETL DENGAN CONTOH KASUS PERGURUAN TINGGI
Data Warehouse for higher education as a paradigm for helping high management in order to make an effective and efficient strategic decisions based on reliable and trusted reports which is produced from Data Warehouse itself. Data Warehouse is not a software, hardware or tool but Data Warehouse is an environment where the transactional database is modelled in other view for decision making purposes. ETL (Extraction, Transformation and Loading) is a bridge to build Data Warehouse and transform data from transactional database. In every fact and dimension table will be inserted with fields which represent the construction merge loading as an ETL (Extraction, Transformation and Loading) extraction. ETL needs an ETL table and ETL process where ETL table as table connectivity between tables in OLTP database and tables in Data Warehouse and ETL process will transform data from table in OLTP database into Data Warehouse table based on ETL table. The extraction process will be run with a table database as differentiate ETL process and an ETL algorithm which will be run automatically in idle transactional process, along with daily transactional database backup when the information system are not used
Perbandingan Penggunaan Database OLTP dan Data Warehouse
As a permanent storage for business process transaction, database is a crucial and the needed for the system. Using database often does not match with the ability and functionality and even is it possible as theory said about using transaction database and beyond the advantages and disadvantages, separating using between transactional database and database for decision making will mine the ability and the powerful database as much as possible. Beside that daily transaction will increase the database capacity month by month and year by year and will decrease the performance, especially for customer daily services. Separating between database transaction and database for decision making will decrease connection to daily database transaction and increase daily database transaction as which is run by application and will implicate the increasing customer satisfaction. Moreover making the strategic reports for decision making never ever become a nightmare and unimportant thing. Differentiation efficiency for saving the amount of data byte and effectiveness the query speed in sql statement in order to make the decision making reports will be used as an approach for justification
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
TATA KELOLA DATABASE PERGURUAN TINGGI YANG OPTIMAL DENGAN DATA WAREHOUSE
The emergence of new higher education institutions has created the competition in higher education market, and data warehouse can be used as an effective technology tools for increasing competitiveness in the higher education market. Data warehouse produce reliable reports for the institution’s high-level management in short time for faster and better decision making, not only on increasing the admission number of students, but also on the possibility to find extraordinary, unconventional funds for the institution. Efficiency comparison was based on length and amount of processed records, total processed byte, amount of processed tables, time to run query and produced record on OLTP database and data warehouse. Efficiency percentages was measured by the formula for percentage increasing and the average efficiency percentage of 461.801,04% shows that using data warehouse is more powerful and efficient rather than using OLTP database. Data warehouse was modeled based on hypercube which is created by limited high demand reports which usually used by high level management. In every table of fact and dimension fields will be inserted which represent the loading constructive merge where the ETL (Extraction, Transformation and Loading) process is run based on the old and new files.
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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