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Current trends in DBMS


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Current trends in DBMS

  1. 1. Current trends in database<br />
  2. 2. Definition<br />Data base management system is a system in which “related data”is stored in an “efficient” and “compact” manner.<br /> “Efficient”=data which is stored in the DBMS is accessed in <br /> very quick time<br /> “compact”=means that the data which is stored in DBMS <br /> covers very little space in the computer‘s memory <br />“related data“=the data which is stored in the DBMS <br /> is about some particular topic.<br />
  3. 3. <ul><li>A DBMS is a set of software programs that controls the organization, storage, management, and retrieval of data in a database.
  4. 4. The DBMS accepts requests for data from an application program and instructs the operating system to transfer the appropriate data.
  5. 5. In large systems, a DBMS allows users and other software to store and retrieve data in a structured way.
  6. 6. Many DBMS packages provide Fourth-generation programming language (4GLs) and other application development features.</li></li></ul><li>Database Servers<br />Database servers are computers that hold the actual databases and run only the DBMS and related software. Database servers are usually multiprocessor computers, with generous memory and RAID disk arrays used for stable storage.<br />
  7. 7. History of DBMS<br /><ul><li>1960 – First DBMS by Charles Bachman at GE</li></ul>IBMs Information Management System (IMS)<br /><ul><li>1970 – E.F Codd introduced the RDBMS
  8. 8. 1980 – Relational model became popular and accepted as the main database paradigm. SQL, ANSI SQL, etc.
  9. 9. 1980 to 1990 – New data models like ODBMS, ORDBMS powerful query languages, etc. Popular vendors are Oracle, SQL Server, IBM DB2, Informix, etc.</li></li></ul><li>Why changing trends???<br /><ul><li>Difficulties with RDBMS storage and usage
  10. 10. Demand for data in forms other than just text
  11. 11. Adoption of e-Business causes rise in online DBMS capacity demand.
  12. 12. Growth in e-commerce and enterprise portals</li></ul>….Creates market for open source DBMS.<br /><ul><li>Demand for access through mobile devices</li></ul>….Mobile database suites<br />
  13. 13. What are the current trends ??<br /><ul><li>Multimedia Databases
  14. 14. Distributed Database
  15. 15. Document-oriented Databases
  16. 16. Mobile & embedded Databases</li></li></ul><li>Multimedia Databases<br /> Multimedia data typically means <br />digital images <br />audio<br />video<br />animation and graphics <br /> The acquisition, generation, storage and <br /> processing of multimedia data in computers<br /> and transmission over networks have grown<br /> tremendously in the recent past.<br />
  17. 17. Multimedia Databases<br />Contents of MMDB <br />Media data - actual data representing images, audio, video that are captured, digitized, processed, compressed and stored. <br />Media format data - Contains information pertaining to the format of the media data after it goes through the acquisition, processing, and encoding phases. <br />E.g. sampling rate, resolution, frame rate, encoding scheme etc.<br />
  18. 18. Multimedia Databases<br />Contents of MMDB <br />3. Media keyword data (content descriptive data ) Contains keyword descriptions, relating to the generation of the media data. <br />E.g., for a video, includes the date, time, place <br /> of recording , person who recorded, scene that <br /> is recorded etc.<br />
  19. 19. Multimedia Databases<br />Contents of MMDB <br />Media feature data(content dependent data) - <br /> Contains the features derived from the media data. A feature characterizes the media contents. <br />E.g., info about the distribution of colors, the <br /> kinds of textures and the different shapes <br /> present in an image.<br />
  20. 20. Multimedia Databases<br />Querying parameters<br />The media keyword data and media feature data are used as indices for searching purpose. The media format data is used to present the retrieved information.<br />
  21. 21. Multimedia Databases<br />
  22. 22. Multimedia Databases<br />Some Examples <br /><ul><li>Multimedia Search Engine
  23. 23. Search Engine for Sounds
  24. 24. Image Search</li></ul> e.g. filter image by color<br />
  25. 25. Multimedia Databases<br />Applications of Multimedia Database<br />Streaming data<br />Interactive video<br />Digital Libraries<br />Image retrieval<br />
  26. 26. Multimedia Databases<br />1. Streaming data<br /><ul><li>Data stream
  27. 27. Data streaming
  28. 28. Used generally in</li></ul> Electronics<br /> Telecommunications<br /> Computer architecture.<br /><ul><li> they require</li></ul> bandwidth, time dependent, no time lag <br /><ul><li>Source and sink </li></li></ul><li>Multimedia Databases<br />1. Streaming Data<br /><ul><li>modes of transmission</li></ul> asynchronous, synchronous, isochronous<br /><ul><li> characteristics</li></ul>time<br />strongly periodic, weakly periodic, aperiodic<br />var. of consecutive packet amount<br />strongly regular, weekly regular, irregular<br />continuity<br />connected data streams, unconnected data streams<br />
  29. 29. Multimedia Databases<br />2. Interactive video<br /><ul><li>The term interactive video usually refers to a technique used to blend interaction and linear film or video.</li></ul>Example<br />
  30. 30. Multimedia Databases<br />Interactive video in<br />Added text with video<br />
  31. 31. Multimedia Databases<br />3. Digital Libraries<br /><ul><li>Collections are stored in digital formats </li></ul> (not as print, or other media)<br /><ul><li>The digital content may be stored locally, or accessed remotely via computer networks.
  32. 32. A digital library is a type of information retrieval system.</li></ul>Example<br />
  33. 33. Multimedia Databases<br />World Digital Library @ US Library of Congress, Washington D.C.<br />
  34. 34. Multimedia Databases<br />4. Image Retrieval<br />
  35. 35. Distributed Databases<br />A distributed database is a collection of multiple, logically interrelated databases of the same system distributed over various sites of a computer network.<br /> Sometimes "distributed database system" is used to refer jointly to the distributed database and the distributed DBMS.<br />
  36. 36. Distributed Databases<br />2 aspects of a distributed database:<br /><ul><li>1.Distribution :</li></ul> Data are not resident at the same site, so that we can distinguish a distributed database from a single, centralized database.<br /><ul><li>2.Logical correlation : </li></ul> Data have some properties which tie them together, so that we can distinguish a distributed database from a set of local databases or files which are resident at different sites of a computer network.<br />
  37. 37. Distributed Databases<br />
  38. 38. Distributed Databases<br />Examples<br /><ul><li>Cloud computing services
  39. 39. All major social and professional networking sites use distributed databases</li></li></ul><li>Document-oriented database<br /><ul><li>Each record (document) might have a different </li></ul> format (number and size of fields)<br /><ul><li>Don’t store data in tables with uniform sized </li></ul> fields for each record. Instead, each record is <br /> stored as a document that has certain <br /> characteristics. <br /><ul><li>Any number of fields of any length can be </li></ul> added to a document. <br /><ul><li>Fields can also contain multiple pieces of data.</li></li></ul><li>Document-oriented database<br /><?xml version="1.0" encoding="ISO-8859-1" ?> <br /> <Student><br />  <FirstName>Anna</FirstName> <br />  <Address>Denver</Address> <br />  <Hobby>singing</Hobby> <br />  </Student><br />A document:<br />FirstName=“Anna“, <br />Address=“Denver“<br />Hobby="singing"<br />Another document :<br />FirstName=“Anurag", Address=“Thane“<br />Hobby=“dancing”<br />NickName=“mishra”<br />How will the XML<br />Look like<br /><?xml version="1.0" encoding="ISO-8859-1" ?> <br /> <Student><br />  <FirstName>Anurag</FirstName> <br />  <Address>Thane</Address> <br />  <Hobby>dancing</Hobby><br /> <NickName>mishra</Nickname> <br />  </Student><br />How will the XML<br />Look like<br />
  40. 40. Document-oriented database<br /><ul><li>All XML databases are doc-oriented DBs
  41. 41. Apache's CoucheDB is an example of a free & </li></ul> open source document-oriented database<br /><ul><li>There are various other such providers</li></li></ul><li>Mobile & embedded database<br /><ul><li>Many daily-use devices contain </li></ul> databases<br /><ul><li>TVs, washing machines, mobile phones
  42. 42. e.g. Android phones with SQLite </li></ul> database<br /><ul><li>Embedded databases in cars, </li></ul> airplanes etc.<br /><ul><li>manage configurations &</li></ul> store sensor data<br /><ul><li>e.g. db4o object database </li></ul> used in BMW Car IT system<br />
  43. 43. Data is highly valuable for every business organization. <br />The trends just depict mere examples of what is in store for us in the future.<br />