YouTube2Text

02 Database Systems PART1 — Transcript

by Mary Jane Samonte · 1,841 words · 384 segments · language en · Watch on YouTube

Full transcript

  1. 0:02good day welcome to another topic
  2. 0:04entitled database systems
  3. 0:06again this is dr mary jane zamonte from
  4. 0:08mapua university philippines
  5. 0:10organizations use data to keep track of
  6. 0:13their day-to-day operations
  7. 0:15such data is used to generate
  8. 0:17information which in turn
  9. 0:19is the basis for good decisions data is
  10. 0:22likely to be managed most efficiently
  11. 0:24when it is stored in a database in this
  12. 0:28chapter
  13. 0:28you will learn what a database is what
  14. 0:31it does
  15. 0:32and why it yields better results than
  16. 0:35other data management methods
  17. 0:37you will also learn about various types
  18. 0:39of databases
  19. 0:40and why databases design is so important
  20. 0:43so let's begin
  21. 0:51so why do we need databases in today's
  22. 0:54world
  23. 0:54data is ubiquitous from birth to death
  24. 0:58we generate and consume data also it is
  25. 1:01pervasive
  26. 1:02the trail of data starts with the birth
  27. 1:03certificate and continues all the way to
  28. 1:06a death certificate
  29. 1:07and beyond databases make data
  30. 1:10persistent and shareable
  31. 1:12in a secure way data is not only
  32. 1:14ubiquitous and pervasive
  33. 1:16it is also essential for organizations
  34. 1:18to survive
  35. 1:19and prosper all businesses have to keep
  36. 1:21this type of data and much more
  37. 1:24at the heart of all the systems are the
  38. 1:26collection storage
  39. 1:27aggregation manipulation dissemination
  40. 1:31and management of data
  41. 1:36virtually all modern visa systems rely
  42. 1:39on databases
  43. 1:41therefore a good understanding of how
  44. 1:43these structures are created
  45. 1:45in their proper uses vital to understand
  46. 1:48what drives database design you must
  47. 1:51understand the difference between
  48. 1:52data and information data
  49. 1:56consists of row facts the word raw
  50. 1:59indicates that the facts have not yet
  51. 2:01been processed
  52. 2:02to reveal their meaning information is
  53. 2:06the result
  54. 2:06of processing raw data to reveal its
  55. 2:09meaning
  56. 2:10data processing can be as simple as
  57. 2:12organizing data to reveal
  58. 2:15patterns are as complex as making
  59. 2:17forecasts
  60. 2:18or drawing inferences using statistical
  61. 2:21modelling
  62. 2:22to reveal meaning information requires
  63. 2:26context for example an average
  64. 2:29temperature reading of 105 degrees
  65. 2:31does not mean much unless you also know
  66. 2:35its context is this reading in degrees
  67. 2:38fahrenheit
  68. 2:39or celsius is this a machine temperature
  69. 2:42a body temperature or an outside air
  70. 2:45temperature
  71. 2:46information can be used as the
  72. 2:48foundation for decision making
  73. 2:55efficient data management typically
  74. 2:57requires the use of a computer database
  75. 3:00a database is a shared integrated
  76. 3:02computer structure
  77. 3:04that stores a collection of the
  78. 3:05following end user data
  79. 3:08it is row facts of interest to the end
  80. 3:11user
  81. 3:12metadata or data about data through
  82. 3:15which the end user data
  83. 3:16is integrated in manage the metadata
  84. 3:19describes
  85. 3:20the data characteristics and the set of
  86. 3:22relationships
  87. 3:24that links the data found within the
  88. 3:26database
  89. 3:27which presents a more complete picture
  90. 3:29of the data
  91. 3:30in the database itself for example
  92. 3:33the metadata component stores
  93. 3:35information such as the name of each
  94. 3:37data element
  95. 3:38the type of values and whether the data
  96. 3:42element can be left empty
  97. 3:44given this characteristics of metadata
  98. 3:48it is a database that describes as a
  99. 3:50collection of self-describing data
  100. 3:53a database management system or dbms
  101. 3:56is a collection of programs that manages
  102. 3:59the database
  103. 4:00structure and controls access to the
  104. 4:02data stored in the database
  105. 4:04in a sense a database assembles a very
  106. 4:07well organized
  107. 4:08electronic filing cabinet in which
  108. 4:11powerful software
  109. 4:12helps manage the cabinet's contents
  110. 4:19the bbms serves as the intermediary
  111. 4:23between the user in the database the
  112. 4:25database structure itself
  113. 4:27is stored as a collection of files and
  114. 4:30the only way to access the data in those
  115. 4:32files is through the dbms
  116. 4:35it enables data to be shared presents
  117. 4:37the end user with an integrated view of
  118. 4:39data
  119. 4:41provides more efficient and effective
  120. 4:43data management
  121. 4:44and improves sharing security
  122. 4:47integration access decision making
  123. 4:50productivity and many more figure 1.4
  124. 4:57emphasizes the point that the dbms
  125. 4:59presents the end user
  126. 5:01or application program with a single
  127. 5:03integrated view of the data
  128. 5:05in the database the dbms receives all
  129. 5:08application requests
  130. 5:10and translates them into the context
  131. 5:12operations required to fulfill those
  132. 5:14requests
  133. 5:16the dbms hides much of the databases
  134. 5:19internal complexity from the application
  135. 5:22programs and users
  136. 5:23the application program might be written
  137. 5:25by a programmer
  138. 5:26using a programming language it might be
  139. 5:29created through a dbms utility program
  140. 5:32having a dbms between the end user's
  141. 5:35application
  142. 5:36in the database offers some important
  143. 5:38advantages
  144. 5:40first the dbms enables the data
  145. 5:43in the dbms to be shared among multiple
  146. 5:45applications or users
  147. 5:47second the dbms integrates the many
  148. 5:50different users views
  149. 5:52of the data into a single all
  150. 5:54encompassing
  151. 5:55data repository
  152. 6:01a dbms can be used to build many
  153. 6:04different types of databases
  154. 6:06each database stores a particular
  155. 6:08collection of data
  156. 6:09and is used for a specific purpose the
  157. 6:12number of users determines whether the
  158. 6:14database is classified
  159. 6:16as a single user or multi-user
  160. 6:19a single user database supports only one
  161. 6:21user
  162. 6:22at a time if user a is using the
  163. 6:26database
  164. 6:27users b and c must wait until user a is
  165. 6:30done
  166. 6:31a single user database that runs on a
  167. 6:33personal computer
  168. 6:34is called a desktop database in contrast
  169. 6:38a multi-user database supports multiple
  170. 6:41users at the same time when the
  171. 6:44multi-user database supports
  172. 6:46a relatively small number of users
  173. 6:50can be fewer than 50 or specific
  174. 6:52department within an
  175. 6:54organization it is called a work
  176. 6:57group database when the database is used
  177. 7:00by the entire organization
  178. 7:02and supports many users which is more
  179. 7:05than 50.
  180. 7:08this is across many departments the
  181. 7:10database is known as
  182. 7:12an enterprise database
  183. 7:18location might also be used to classify
  184. 7:21the database for example
  185. 7:22a database that supports data located at
  186. 7:25a single site
  187. 7:26is called a centralized database a
  188. 7:29database
  189. 7:30that supports data distributed across
  190. 7:32several different sites
  191. 7:34is called a distributed database both
  192. 7:37centralized
  193. 7:38and decentralized databases require a
  194. 7:41well-defined infrastructure
  195. 7:43to implement and operate the database
  196. 7:45typically the infrastructure is owned
  197. 7:48and maintained by the organization
  198. 7:50that creates and operates the database
  199. 7:52but in recent years
  200. 7:54the use of cloud databases has been
  201. 7:56growing in popularity
  202. 7:58a cloud database is a database that is
  203. 8:01created
  204. 8:02and maintained using cloud data services
  205. 8:05such as microsoft azure or amazon aws
  206. 8:13a popular way of classifying databases
  207. 8:16is according to the type of data stored
  208. 8:18in them
  209. 8:18using this criterion databases are
  210. 8:21grouped into two categories
  211. 8:23general purpose and discipline specific
  212. 8:26general purpose databases contain a wide
  213. 8:29variety of data
  214. 8:30used in multiple disciplines for example
  215. 8:33a census database that contains general
  216. 8:36demographic data
  217. 8:37discipline specific databases contain
  218. 8:40data focus in specific subject areas
  219. 8:43like for academic or research purposes
  220. 8:46the most popular way of classifying
  221. 8:48databases today
  222. 8:50is based on how they will be used and on
  223. 8:53the time sensitivity of the information
  224. 8:56gathered from them for example
  225. 8:58transactions such as product or service
  226. 9:01sales
  227. 9:02payments and supply purchases reflect
  228. 9:04critical
  229. 9:05day-to-day operations such transactions
  230. 9:09must be recorded
  231. 9:10accurately and immediately a database
  232. 9:13that is designed
  233. 9:14primarily to support a company's
  234. 9:16day-to-day operations
  235. 9:18is classified as an operational database
  236. 9:22also known as an online transaction
  237. 9:24processing
  238. 9:25or oltp database transactional database
  239. 9:29or production database
  240. 9:35an analytical database focuses primarily
  241. 9:38on storing historical data
  242. 9:40and business metrics used exclusively
  243. 9:43for tactical
  244. 9:44or strategic decision-making analytical
  245. 9:47databases
  246. 9:48allow the end user to perform advanced
  247. 9:51analysis of business data using
  248. 9:54sophisticated tools
  249. 9:56typically analytical databases comprise
  250. 9:59two main components a data warehouse
  251. 10:03and an online analytical processing
  252. 10:05front end
  253. 10:07the data warehouse is a specialized
  254. 10:09database that stores data
  255. 10:11in a format optimized for decision
  256. 10:14support
  257. 10:15online analytical processing or orlap
  258. 10:19is a set of tools that work together to
  259. 10:21provide
  260. 10:22an advanced data analysis environment
  261. 10:25for retrieving
  262. 10:26processing and modeling data from the
  263. 10:29data warehouse in this recent time
  264. 10:33this area of database application has
  265. 10:35grown
  266. 10:37in importance and usage to the point
  267. 10:39that it has evolved
  268. 10:40into its own discipline business
  269. 10:43intelligence
  270. 10:44the term business intelligence describes
  271. 10:47a comprehensive approach
  272. 10:49to capture and process business data
  273. 10:52with the purpose of generating
  274. 10:54information
  275. 10:55to support business decision making
  276. 11:05databases can also be classified to
  277. 11:07reflect the degree to which the data is
  278. 11:09structured
  279. 11:10unstructured data is data that exists in
  280. 11:13its original state
  281. 11:15in a format that does not lend itself to
  282. 11:17the processing that yields
  283. 11:19information structured data
  284. 11:22is the result of formatting unstructured
  285. 11:24data
  286. 11:25to facilitate storage use and generation
  287. 11:28of information
  288. 11:30you apply structure or format based on
  289. 11:33the type of processing
  290. 11:34that you intend to perform on the data
  291. 11:37for example
  292. 11:38printed paper invoices can be scanned
  293. 11:41and saved
  294. 11:42in a graphic format as images for future
  295. 11:45retrieval and display
  296. 11:47most data which is classified as
  297. 11:51semi-structured
  298. 11:52have already been processed to some
  299. 11:54extent if you look at a typical web page
  300. 11:57they also use semi-structured and
  301. 12:00unstructured data
  302. 12:02unstructured and semi-structured data
  303. 12:04storage
  304. 12:05and management needs are being addressed
  305. 12:08through a new generation of databases
  306. 12:11known as
  307. 12:12xml extensible markup language
  308. 12:16is a special language used to represent
  309. 12:18and manipulate data elements
  310. 12:20in a text wall format an xml
  311. 12:24database supports the storage and
  312. 12:26management
  313. 12:27of same structured xml data
  314. 12:34why database design is important
  315. 12:36database design refers to the activities
  316. 12:39that focus on the design of the
  317. 12:41databases structure
  318. 12:42that will be used to store and manage
  319. 12:44end-user data
  320. 12:46data is one of an organization's most
  321. 12:50valuable assets well-designed database
  322. 12:54facilitates data management
  323. 12:56and generates accurate and valuable
  324. 12:58information
  325. 13:00poorly designed database can cause
  326. 13:02difficult to trace errors that may lead
  327. 13:05to poor decision
  328. 13:06making
  329. 13:10a brief explanation of the evolution of
  330. 13:13file system data processing
  331. 13:15can be helpful in understanding the data
  332. 13:17access limitations
  333. 13:19that databases attempt to overcome
  334. 13:22to be successful an organization must
  335. 13:24develop systems for handling
  336. 13:27core business tasks manual file systems
  337. 13:30was accomplished
  338. 13:31through a system of file folders and
  339. 13:33filing cabinets
  340. 13:35generating reports from manual file
  341. 13:38systems was slow
  342. 13:39and cumbersome data processing
  343. 13:42specialists was hired
  344. 13:44to create a computer-based system that
  345. 13:46would track
  346. 13:47data and produce required reports
  347. 13:50the user's desire for direct hands-on
  348. 13:53access to data
  349. 13:55help to fuel the adoption of personal
  350. 13:58computers for business use
  351. 14:00file system redox as a modern end user
  352. 14:03productivity tools
  353. 14:04includes spreadsheet programs such as
  354. 14:07microsoft excel
  355. 14:13the description of computer files
  356. 14:15requires a specialized vocabulary
  357. 14:18table 1.2 will help you to understand
  358. 14:21subsequent discussions more easily
  359. 14:24the term data said to be real facts
  360. 14:27it has little meaning unless it has been
  361. 14:29organized in some logical manner
  362. 14:32field a character group of characters
  363. 14:35that has a specific meaning a field is
  364. 14:38used to define and store data
  365. 14:41record a logically connected set of one
  366. 14:43or more fields
  367. 14:45that describes a person place your thing
  368. 14:47then file
  369. 14:49a collection of related records
  370. 14:55in figure 1.9 each file in the system
  371. 14:58use its own application program
  372. 15:01to store retrieve and modify data also
  373. 15:05each file was owned by the individual or
  374. 15:07the department that commissioned
  375. 15:09its creation the advent of computer
  376. 15:12files to store company data was
  377. 15:14significant
  378. 15:15it not only established a landmark in
  379. 15:18the use of computer technologies
  380. 15:20but also represented a huge step
  381. 15:28the next slide will continue the
  382. 15:29discussion of fundamentals of database
  383. 15:32regarding the problems with file system
  384. 15:34data processing

About this transcript

This page contains the full transcript of 02 Database Systems PART1 by Mary Jane Samonte, generated from the public captions YouTube serves with the video. The transcript has 1,841 words across 384 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.