Pengantar Sistem Informasi Data Resource Management.
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Transcript of Pengantar Sistem Informasi Data Resource Management.
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Pengantar Sistem InformasiData Resource Management
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Outline
1. Data Governance2. Master Data vs Transaction’s Data3. The Database Approach4. DBMS5. Data WareHouse6. Big Data7. Career @Database Skill
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Data Governance• is an approach to managing information
across an entire organization.
DAMA International Tata Kelola Data IBM(Sunil Soares, 2011)
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Master Data vs Transaction’s Data
• Master data are a set of core data, such as customer, product, employee, vendor, geographic location, and so on, that span the enterprise information systems.
• Transaction data, which are generated and captured by operational systems, describe the business’s activities, or transactions.
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The Database Approach
Minimizes the following problems:• Data redundancy• Data isolation• Data inconsistency• Data security• Data integrity• Data independence
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Data Model• integration of concepts that used for data
explanation, data relation and data constraint to keep data integrity.
• Data Model = Logical Data Structure• Data Model types:– Hierarchy– Network– Relasional– Objek Oriented
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The Database Approach
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The Database Approach
AplikasiPenggajian Laporan
BerkasGaji
BerkasPegawai
AplikasiPelatihan Laporan
BerkasPelatihan
BerkasPegawai
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The Database Approach
AplikasiPenggajian Laporan
BerkasGaji
BerkasPegawai
AplikasiPelatihan Laporan
BerkasPelatihan
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Designing the Database
A data model is a diagram that represents entities in the database and their relationships.Entity-Relationship Modeling
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Various methods of ER-D
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ER-Diagram example
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DBMSSoftware used to create and manage a database; it also provides tools for ensuring security, replication, retrieval, and other administrative and housekeeping tasks.
Examples:
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Database in Action - Ms. Access
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DBMS in Action
AplikasiPenggajian
BerkasPegawai
AplikasiPelatihan
Laporan
Laporan
DBMS
PermintaanPemutahiran
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Data Warehouse
A central data repository containing information drawn from multiple sources that can be used for analysis, intelligence gathering, and strategic planning.
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Extract, Transform, Load
• Extract data from its home database• Transform and cleanse it so that it adheres to
common data definitions.• Load to the data warehouse location
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Big Data“collections of data that are so enormous in size, so varied in content, and so fast to accumulate that they are difficult to store and analyze using traditional approaches”
The 3 V concepts:• Volume. Data collections can take up petabytes of storage, and are
continually growing.• Velocity. Many data sources change and grow at very fast speeds.
The nightly ETL process often used for data warehouses is not adequate for many real-time demands.
• Variety. Relational databases are very efficient for structured information stored in tables, but businesses can benefit from analyzing semi-structured and unstructured data as well.
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Career @Database
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Explore this…
1) Normalization method2) DDL vs DML3) Data Mining4) Data Mart5) OLTP vs OLAP6) ORM
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Referensi
1) Patricia Wallace, Introduction to Information Systems, Prentice Hall (2014).
2) R. Kelly Rainer, Brad Prince & Casey G. Cegielski, Introduction to Information Systems Supporting and Transforming Business,Wiley (2013).