Download PSI-5-SFJ-Pertemuan 9 Data Management

Pengantar Sistem Informasi
Data Resource Management
Outline
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Data Governance
Master Data vs Transaction’s Data
The Database Approach
DBMS
Data WareHouse
Big Data
Career @Database Skill
Data Governance
• is an approach to managing information
across an entire organization.
DAMA International
Tata Kelola Data IBM(Sunil Soares, 2011)
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.
The Database Approach
Minimizes the following problems:
• Data redundancy
• Data isolation
• Data inconsistency
• Data security
• Data integrity
• Data independence
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
The Database Approach
The Database Approach
Aplikasi
Penggajian
Berkas
Gaji
Berkas
Pegawai
Laporan
Aplikasi
Pelatihan
Berkas
Pelatihan
Berkas
Pegawai
Laporan
The Database Approach
Aplikasi
Penggajian
Laporan
Berkas
Gaji
Berkas
Pegawai
Berkas
Pelatihan
Aplikasi
Pelatihan
Laporan
Designing the Database
A data model is a diagram that represents
entities in the database and their relationships.
Entity-Relationship Modeling
Various methods of ER-D
ER-Diagram example
DBMS
Software used to create and manage a database;
it also provides tools for ensuring security,
replication, retrieval, and other administrative and
housekeeping tasks.
Examples:
Database in Action - Ms. Access
DBMS in Action
Aplikasi
Penggajian
Laporan
Aplikasi
Pelatihan
Laporan
DBMS
Berkas
Pegawai
Permintaan
Pemutahiran
Data Warehouse
A central data repository containing information
drawn from multiple sources that can be used
for analysis, intelligence gathering, and strategic
planning.
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
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.
Career @Database
Explore this…
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Normalization method
DDL vs DML
Data Mining
Data Mart
OLTP vs OLAP
ORM
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).