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PERKEMBANGAN
DATA WAREHOUSE
FIRDAUS SOLIHIN
UNIVERSITAS TRUNOJOYO
Pemicu Perkembangan DW
� Penambahan Fungsi DW
� Mengadopsi Banyak Tipe Data
� Visualisasi Data
� Paralel Processing
� Query Tools
� Data Warehousing and ERP
� Data Warehousing and KM
� Web-enabled Data Warehouse
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Penambahan Fungsi DW
Mengadopsi Banyak Tipe Data
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Visualisasi Data
Parallel Processing (hardware)
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Parallel Processing (Software)
� Menganalisa banyak task untukmengidentifikasi unit yang independent agar dapat di proses dalam urutan yang tepat(parallel)
� Mengidentifikasi unit2 kecil dan memastikandapat dieksekusi sesuai urutan
� Mengeksekusi unit independent dandependent sesuai urutan masing2
� Collecting, collating, dan consolidating hasilproses
Keuntungan Parallel
Processing
� Mampu menaikkan Performance dari query processing, data loading, dan index creation
� Tetap dapat digunakan walaupun adapenambahan perangkat tanpa aplikasi yang sedang dijalankan
� Tatap dapat berfugnsi walaupun beberapaperangkat paralell lain gagal bekerja
� Single logical view of the database even though the data may reside on the disks of
� multiple nodes
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Query Tools
� Flexible presentation—Easy to use and able to present results online and on reports in many different formats
� Aggregate awareness—Able to recognize the existence of summary or aggregate tables and automatically route queries to the summary tables when summarized results are desired
� Crossing subject areas—Able to cross over from one subject data mart to another automatically
Query Tools (cont)
� Multiple heterogeneous sources—Capable of accessing heterogeneous data sources on different platforms
� Integration—Integrate query tools for online queries, batch reports, and data extraction for analysis, and provide seamless interface to go from one type of output to another
� Overcoming SQL limitations—Provide SQL extensions to handle requests that cannot usually be done through standard SQL
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Data Warehousing and ERP
Data Warehousing and KM
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Web-enabled Data
Warehouse
