UNIT 3Data and Knowledge ManagementDefining Big Data.docx
- 1. UNIT 3 Data and Knowledge Management Defining Big Data Big Data Generally Consist of: – Traditional enterprise data – Machine-generated/sensor data – Social Data – Images captured by billions of devices located around the world Characteristics of Big Data • Volume • Velocity • Variety The Database Approach Database management system (DBMS) minimize the following problems: –Data redundancy
- 2. –Data isolation –Data inconsistency Data Hierarchy Bit Byte Field Record File (or table) Database Designing the Database Data model Entity Attribute Primary key Secondary keys
- 3. Entity-Relationship Modeling • Database designers plan the database design in a process called entity- relationship (ER) modeling. • ER diagrams consists of entities, attributes and relationships. – Entity classes – Instance – Identifiers Database Management Systems Database management system (DBMS) Relational database model Structured Query Language (SQL) Query by Example (QBE) Normalization • Normalization is a method for analyzing and reducing a relational database to its most streamlined form for: – Minimum redundancy – Maximum data integrity – Best processing performance
- 4. • Normalized data is when attributes in the table depend only on the primary key. Data Warehousing Data warehouses and Data Marts Organized by business dimension or subject. Multidimensional. Historical. Use online analytical processing. Benefits of Data Warehousing •End users can access data quickly and easily via Web browsers because they are located in one place. •End users can conduct extensive analysis with data in ways that may not have been possible before. •End users have a consolidated view of organizational data. Data Marts • A data mart is a small data warehouse, designed for the end-user needs in a strategic business unit (SBU) or a department.
- 5. Knowledge Management • Knowledge management (KM) • Knowledge • Intellectual capital (or intellectual assets) Knowledge Management System Cycle •Create knowledge •Capture knowledge •Refine knowledge •Store knowledge •Manage knowledge •Disseminate knowledge Develop a project proposal. Write a 2-page project proposal which states the rationale for the selected industry and company. You must submit one hardcopy of the project proposal for evaluation . The Project Proposal is worth 50 points of your final grade. Project Proposal Guidelines: · Identification of a non-U.S. company · Introduction of the company’s background · Identification of possible sources: · News reports · Scholarly sources · Public information about the company · Outline of the project plan and timeline · Discussion on potential problems and/or challenges for your project