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Ea – extra note

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This is consisted of big data, fast data and relational schema

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Ea – extra note

  1. 1. Hiranthi Tennakoon UCSC – University of Colombo
  2. 2. CONTENT…. • RELATIONAL SCHEMA • STAR SCHEMA • BIG DATA • FAST DATA • SCHEMA ON READ – SCHEMA ON WRITE
  3. 3. RELATIONAL SCHEMA • In the relational model, every tuple must have a unique identification or key based on the data • Foreign key • Primary key
  4. 4. RELATIONAL SCHEMA There are two intersection entities in this schema: student/course and employee/course. these handle the two many-to-many relationships: 1) between student and course 2) between employee and course. In the first case, a student may take many courses and a course may be taken by many students. similarly, in the second case, an employee (one of the types of teachers) may teach many courses and a course may be taught by many teachers
  5. 5. RELATIONAL SCHEMA
  6. 6. STAR SCHEMA • In computing, the star schema is the simplest style of data mart schema. • The star schema consists of one or more fact tables referencing any number of dimension tables. • The star schema is an important special case of the snowflake schema, and is more effective for handling simpler queries • In data warehousing and business intelligence , a star schema is the simplest form of a dimensional model • Optimized for querying large data sets and are used in data warehouses and data marts to support cubes, business intelligence and analytic applications, and ad hoc queries.
  7. 7. BIG DATA WHO USE BIG DATA? • NASA • WAL-MART • AMAZON FOR WHAT THEY USE BIG DATA? • TO MEET THEIR BUSINESS/ STRATEGIC OBJECTIVES
  8. 8. WHAT IS BIG DATA THE INFORMATION OWNED BY YOUR COMPANY, OBTAINED AND PROCESSED THROUGH NEW TECHNIQUES TO PRODUCE VALUE IN THE BEST WAY POSSIBLE. 3 v’s • volume • value • velocity • It's a lot of data produced very quickly in many different forms. this could involve customer transactional histories, production databases, web traffic logs, online videos, social media interactions,
  9. 9. WHAT IS UNIQUE ABOUT BIG DATA? • It represents both significant information - which can open new doors - and the way this information is analyzed to help open those doors. • Combing the data to find value • Make the best use of information to improve their business capabilities
  10. 10. FAST DATA CONCEPT – FROM DATA AT REST TO DATA IN MOTION Measure volume in terms of time • The number of megabytes per second • Gigabytes per hour • Terabytes per day • Value of fast data : • React to data instant is arrives
  11. 11. DATA-ON-READ DATA-ON-WRITE schema on write schema on read when data is shared with people who are having different interest on data, have to think about all of these constituencies in advance and define a schema that has something for everyone can present data in a schema that is adapted best to the queries being issued have to do an extensive data modeling job and develop and über-schema that covers all of the datasets that you care about, have to think whether the schema will handle the new data set do not need to do such modelling exercises can load your data as-is and start to get value from it right away – important when dealing with structured, unstructured, semi – structured data

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