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CS 440 Database Management Systems

CS 440 Database Management Systems. Current Trends in Data Management. Exciting Time for Data Management. Data is everywhere, everybody is generating and using it. It determines how we make decisions.

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CS 440 Database Management Systems

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  1. CS 440 Database Management Systems Current Trends in Data Management

  2. Exciting Time for Data Management • Datais everywhere, everybody is generating and using it. • It determines how we make decisions. • “Looking for a career where your services will be in high demand? ... Provide a scarce, complementary service to something that is getting ubiquitous and cheap. So what’s ubiquitous and cheap? Data. And what is complementary to data? Analysis.” Hal Varian, UC Berkeley, Chief Economist @ Google

  3. New Challenges in Databases Traditional RDBMS Functions Traditional Relational Data Traditional Users New Data/Info Management Functions? New Data Type? New Users?

  4. Properties of New Data Sets • Traditional data sets • Large, homogenous, integrated, static • Web changed everything • Easy to publish and access data • Social network and Web 2.0 changed everything • Easy to share data for indusial • Novel scientific devices, sensor networks, … changed everything • Easy to create large data sets in a short period of time • New data sets • Big, heterogeneous, scattered, evolving

  5. Ranking in DB Information Extraction Complex object indexing Stream data Data exploration and analytics Data integration New Types of Data • Text data • Multimedia data • Scientific data • Sensor data • Log data • Personal data • Social/network data • ... …

  6. New Users • Everyone: scientists, financial/think tank/… analysts, health provides, normal users, … • Usability has become very important • Easy to use query interfaces, such as keyword queries • Efficient and Effective visualization techniques • Usable data-centric languages for developers.

  7. New Hardware • Cheaper storage • Multicores and clusters • RAM is disk, CPU-cache is RAM • Novel buffer management, query processing and transaction management algorithms. • Rethinking the core engine: main memory databases

  8. Selected Current Topics • Usable databases • Ranking in databases • Scalable social and graph data analysis • Information extraction, text databases • Data Integration • Stream Data Processing • Scalable machine learning • Database applications on crowd sourcing • …

  9. Where to Look Further? • Take some graduate courses on data management. • Major DB conferences: SIGMOD/PODS, VLDB, ICDE, EDBT/ICDT. • Major DB journals: ACM TODS, IEEE TKDE, VLDBJ • Related communities • Information retrieval: SIGIR, CIKM • Data mining: KDD, ICDM • World Wide Web: WWW, WebDB

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