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Article . 2015 . Peer-reviewed
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TEKNIK MIGRASI DATA LINTAS DBMS DENGAN MENGGUNAKAN METADATA

Authors: Dahliar Ananda; Muhammad Dwi Aldhi; Wahyu Hidayat;

TEKNIK MIGRASI DATA LINTAS DBMS DENGAN MENGGUNAKAN METADATA

Abstract

Proses migrasi data biasanya dibutuhkan saat adanya perubahan sistem, format, atau tipe storage. Saat ini telah dikenal beberapa teknik dan kakas untuk melakukan migrasi data, misalnya CSV file, ODBC, SQLDump dan sebagainya. Sayangnya tidak semua teknik tersebut dapat diimplementasikan untuk migrasi data antara dua DBMS yang berbeda. Dalam penelitian ini dipaparkan sebuah teknik migrasi data yang dapat digunakan untuk migrasi data lintas DBMS. Teknik migrasi data yang dipaparkan memanfaatkan metadata yang ada di masing-masing DBMS. Proses migrasi data yang dipaparkan di sini melalui tiga tahap yaitu capture, convert dan construct. Sebuah prototype dibangun untuk menguji teknik migrasi data ini. Dengan menggunakan schema HR dilakukan uji coba migrasi data lintas DBMS antara Oracle dan MySQL. Dengan menggunakan teknik ini, migrasi data full-schema membutuhkan waktu rata-rata 20,43 detik dari DBMS Oracle ke MySQL dan 12,96 detik untuk skenario sebaliknya. Adapun untuk migrasi data parsial dibutuhkan waktu rata-rata 5,95 detik dari DBMS Oracle ke MySQL dan 2,19 detik untuk skenario sebaliknya.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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