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These are the user uploaded subtitles that are being translated: 1 00:00:01,380 --> 00:00:04,080 In this lesson, we'll examine some of the database options 2 00:00:04,080 --> 00:00:06,270 available in Oracle 12c. 3 00:00:06,270 --> 00:00:08,880 Options are features that are available for the database 4 00:00:08,880 --> 00:00:10,440 at an additional cost. 5 00:00:10,440 --> 00:00:12,360 It's possible that a DBA might work 6 00:00:12,360 --> 00:00:14,730 the majority of their career and not even use 7 00:00:14,730 --> 00:00:16,710 any of these pay-for options. 8 00:00:16,710 --> 00:00:19,710 However, these options can be extremely useful and sometimes 9 00:00:19,710 --> 00:00:23,020 essential depending on the business needs of the company. 10 00:00:23,020 --> 00:00:25,920 So it's important to understand what's at our disposal. 11 00:00:25,920 --> 00:00:28,770 Oracle offers more options than we can cover here, 12 00:00:28,770 --> 00:00:30,900 but we'll look at some of the more common ones. 13 00:00:30,900 --> 00:00:34,050 We'll examine Oracle Advanced Security, Partitioning, 14 00:00:34,050 --> 00:00:37,950 Advanced Compression Option, and Oracle Multitenant. 15 00:00:37,950 --> 00:00:40,230 One of the most important options available to us 16 00:00:40,230 --> 00:00:42,330 is Oracle Advanced Security. 17 00:00:42,330 --> 00:00:45,120 Oracle Advanced Security or OAS adds 18 00:00:45,120 --> 00:00:48,540 some very important security aspects to the Oracle database. 19 00:00:48,540 --> 00:00:49,950 Let's think of an example. 20 00:00:49,950 --> 00:00:52,230 Even though the client-server model isn't as common 21 00:00:52,230 --> 00:00:54,570 as it once was, let's say that we're administering 22 00:00:54,570 --> 00:00:56,370 a client-server configuration. 23 00:00:56,370 --> 00:00:58,260 We have remote users in Canada that 24 00:00:58,260 --> 00:01:00,270 use a homegrown application to connect 25 00:01:00,270 --> 00:01:02,820 to our database in the United States. 26 00:01:02,820 --> 00:01:05,670 Of course, that kind of distance means that, at some point, 27 00:01:05,670 --> 00:01:07,260 the network traffic involved will 28 00:01:07,260 --> 00:01:08,850 be running across the internet. 29 00:01:08,850 --> 00:01:11,550 So that company data will be running over lines that 30 00:01:11,550 --> 00:01:13,680 are exposed to the internet. 31 00:01:13,680 --> 00:01:15,300 You might think that, by default, 32 00:01:15,300 --> 00:01:17,490 all of the traffic between the client and server 33 00:01:17,490 --> 00:01:19,590 would be encrypted, but you'd be wrong. 34 00:01:19,590 --> 00:01:23,320 All of that company data crosses the internet in plain text. 35 00:01:23,320 --> 00:01:25,890 If an attacker can get a fix on your traffic, 36 00:01:25,890 --> 00:01:28,170 your data could be intercepted, stolen, 37 00:01:28,170 --> 00:01:31,530 or tampered with unless that is you use Oracle Advanced 38 00:01:31,530 --> 00:01:33,300 Security OAS. 39 00:01:33,300 --> 00:01:35,460 With OAS, you can set up encryption 40 00:01:35,460 --> 00:01:37,530 between clients and database servers 41 00:01:37,530 --> 00:01:39,780 or between multiple databases themselves. 42 00:01:39,780 --> 00:01:41,730 In situations where data is synchronized 43 00:01:41,730 --> 00:01:45,600 across multiple geographic locations, OAS is crucial. 44 00:01:45,600 --> 00:01:48,330 OAS also provides for other security features 45 00:01:48,330 --> 00:01:51,780 such as transparent data encryption, TDE, 46 00:01:51,780 --> 00:01:53,760 which can encrypt data at rest. 47 00:01:53,760 --> 00:01:55,980 It also provides data redaction, which 48 00:01:55,980 --> 00:01:58,830 allows you to selectively hide sensitive data 49 00:01:58,830 --> 00:02:01,240 from unauthorized users. 50 00:02:01,240 --> 00:02:03,190 Oracle Partitioning is an impressive feature 51 00:02:03,190 --> 00:02:06,500 that allows you to split a table into more manageable pieces. 52 00:02:06,500 --> 00:02:07,930 So why would we need this? 53 00:02:07,930 --> 00:02:10,600 For small tables, we probably wouldn't gain anything 54 00:02:10,600 --> 00:02:11,710 from partitioning. 55 00:02:11,710 --> 00:02:14,780 But partitioning was created for very large tables. 56 00:02:14,780 --> 00:02:17,710 Let's say we have a table that contains 100 million rows. 57 00:02:17,710 --> 00:02:19,870 That may sound like a lot, but it's far more common 58 00:02:19,870 --> 00:02:20,980 than you might expect. 59 00:02:20,980 --> 00:02:23,230 This table contains customer transactions 60 00:02:23,230 --> 00:02:24,820 that go back 10 years. 61 00:02:24,820 --> 00:02:28,240 The data is distributed fairly evenly so each year has 62 00:02:28,240 --> 00:02:30,610 about 10 million rows. 63 00:02:30,610 --> 00:02:32,980 It is likely that the most important data 64 00:02:32,980 --> 00:02:36,460 is the most recent data, say the last two or three years. 65 00:02:36,460 --> 00:02:39,430 But every time a query is executed against the database, 66 00:02:39,430 --> 00:02:41,630 it has to look through all of the data, 67 00:02:41,630 --> 00:02:44,110 including the older less used data. 68 00:02:44,110 --> 00:02:46,810 What if there were a way to separate the newer 69 00:02:46,810 --> 00:02:49,270 data from the older data but still allow 70 00:02:49,270 --> 00:02:51,250 it to look like a single table? 71 00:02:51,250 --> 00:02:53,740 That's what partitioning enables us to do. 72 00:02:53,740 --> 00:02:56,170 We partition or separate the data 73 00:02:56,170 --> 00:03:00,340 based on a key column value for when the transaction occurred. 74 00:03:00,340 --> 00:03:02,960 So one partition would be this year's data. 75 00:03:02,960 --> 00:03:04,450 Another would be last year's. 76 00:03:04,450 --> 00:03:05,900 So on and so forth. 77 00:03:05,900 --> 00:03:08,170 Now, when we query for recent data, 78 00:03:08,170 --> 00:03:11,680 it searches based on the underlying partitioning scheme 79 00:03:11,680 --> 00:03:14,470 and ignores the data from every year except the one we're 80 00:03:14,470 --> 00:03:15,310 interested in. 81 00:03:15,310 --> 00:03:18,280 In our case, that's a 90% reduction 82 00:03:18,280 --> 00:03:21,130 in the amount of data that must be scanned. 83 00:03:21,130 --> 00:03:23,200 While optimal databases don't necessarily 84 00:03:23,200 --> 00:03:26,650 use a lot of CPU or memory, they can use tremendous amounts 85 00:03:26,650 --> 00:03:27,980 of disc space. 86 00:03:27,980 --> 00:03:30,310 Databases are storage mediums for data, 87 00:03:30,310 --> 00:03:32,450 and companies keep a lot of data. 88 00:03:32,450 --> 00:03:34,810 So one of the things that a DBA can struggle with 89 00:03:34,810 --> 00:03:36,970 is maintaining enough free space for data. 90 00:03:36,970 --> 00:03:39,520 On home computers, sometimes we can free up space 91 00:03:39,520 --> 00:03:42,430 by zipping up or compressing old files. 92 00:03:42,430 --> 00:03:44,200 Oracle offers an enterprise solution 93 00:03:44,200 --> 00:03:48,580 for this with the advanced compression option or ACO. 94 00:03:48,580 --> 00:03:51,700 ACO offers a number of different ways to compress 95 00:03:51,700 --> 00:03:53,860 and uncompress data on the fly. 96 00:03:53,860 --> 00:03:56,230 ACO is capable of significantly reducing 97 00:03:56,230 --> 00:03:59,060 the amount of disc space required for your database. 98 00:03:59,060 --> 00:04:01,780 However, you might think compressing and uncompressing 99 00:04:01,780 --> 00:04:03,160 data takes time. 100 00:04:03,160 --> 00:04:05,750 Wouldn't this affect the performance of data retrieval? 101 00:04:05,750 --> 00:04:07,870 If this was the kind of compressed and uncompressed 102 00:04:07,870 --> 00:04:10,360 utility that we're familiar with for home use, 103 00:04:10,360 --> 00:04:11,740 we'd probably be correct. 104 00:04:11,740 --> 00:04:15,010 But there's a reason that Oracle charges extra for ACO. 105 00:04:15,010 --> 00:04:18,670 It is an extremely advanced use of "on the fly" compression. 106 00:04:18,670 --> 00:04:21,790 The key reason that ACO can compress and uncompress data 107 00:04:21,790 --> 00:04:24,220 without interfering with normal processing 108 00:04:24,220 --> 00:04:27,220 is that its compression algorithms work in memory, not 109 00:04:27,220 --> 00:04:29,140 on disc like we're familiar with. 110 00:04:29,140 --> 00:04:32,090 Thus, the compress changes occur in memory, 111 00:04:32,090 --> 00:04:35,260 which is an order of magnitude faster than working on disc. 112 00:04:35,260 --> 00:04:37,840 As a result, ACO allows us to operate 113 00:04:37,840 --> 00:04:40,960 with a compressed database without significantly impacting 114 00:04:40,960 --> 00:04:42,110 performance. 115 00:04:42,110 --> 00:04:43,750 It can even use intelligent compression 116 00:04:43,750 --> 00:04:45,940 to determine which data should be compressed 117 00:04:45,940 --> 00:04:47,710 and which should be left alone. 118 00:04:47,710 --> 00:04:50,620 If data hasn't been accessed in a certain amount of time, 119 00:04:50,620 --> 00:04:52,960 it considers it a candidate for compression. 120 00:04:52,960 --> 00:04:55,090 With ACO, we can also create policies 121 00:04:55,090 --> 00:04:57,790 that specify our own condition as to when data should 122 00:04:57,790 --> 00:04:59,800 be compressed and for how long. 123 00:04:59,800 --> 00:05:02,110 This works with table data, backup data, 124 00:05:02,110 --> 00:05:03,980 and exported data as well. 125 00:05:03,980 --> 00:05:07,240 Finally, ACO can even compress data in network connections 126 00:05:07,240 --> 00:05:09,160 such as copying data from one database 127 00:05:09,160 --> 00:05:10,870 to another over a network. 128 00:05:10,870 --> 00:05:13,900 As a result, the amount of time required to copy the data 129 00:05:13,900 --> 00:05:16,400 can be significantly reduced. 130 00:05:16,400 --> 00:05:19,220 The most impressive new option for Oracle 12c 131 00:05:19,220 --> 00:05:21,230 is certainly Oracle Multitenant. 132 00:05:21,230 --> 00:05:23,450 Oracle Multitenant is a major advance 133 00:05:23,450 --> 00:05:25,250 that basically adds a virtualization 134 00:05:25,250 --> 00:05:27,360 layer to the 12c database. 135 00:05:27,360 --> 00:05:28,700 Why is this useful? 136 00:05:28,700 --> 00:05:31,880 Server virtualization can be very useful in situations 137 00:05:31,880 --> 00:05:34,730 where an organization wants to better utilize the server 138 00:05:34,730 --> 00:05:36,440 assets that they control. 139 00:05:36,440 --> 00:05:38,600 In a situation where an organization has 140 00:05:38,600 --> 00:05:42,740 10 physical servers that they can only utilize at about 10%, 141 00:05:42,740 --> 00:05:45,980 they may be able to reduce that number to two or three servers 142 00:05:45,980 --> 00:05:48,680 and create virtual machines that represent the 10 143 00:05:48,680 --> 00:05:50,120 servers they used to have. 144 00:05:50,120 --> 00:05:53,760 Oracle Multitenant does a similar thing for databases. 145 00:05:53,760 --> 00:05:55,280 One of the most frustrating problems 146 00:05:55,280 --> 00:05:57,980 that an Oracle DBA can deal with is the requirement 147 00:05:57,980 --> 00:06:00,260 for more and more databases. 148 00:06:00,260 --> 00:06:03,180 An organization keeps creating new applications. 149 00:06:03,180 --> 00:06:05,690 And those applications need additional databases. 150 00:06:05,690 --> 00:06:08,150 When you include the requirement for each application, 151 00:06:08,150 --> 00:06:11,930 to maintain a development, test, and production database, 152 00:06:11,930 --> 00:06:13,700 the number of databases you're managing 153 00:06:13,700 --> 00:06:16,010 can quickly spiral out of control. 154 00:06:16,010 --> 00:06:19,550 Every one of those new databases must be maintained, patched, 155 00:06:19,550 --> 00:06:21,380 and upgraded regularly. 156 00:06:21,380 --> 00:06:24,650 With Oracle Multitenant, we can reduce the amount of management 157 00:06:24,650 --> 00:06:26,300 needed for these databases. 158 00:06:26,300 --> 00:06:27,950 Multitenant lets us create what's 159 00:06:27,950 --> 00:06:29,840 known as a container database. 160 00:06:29,840 --> 00:06:32,330 We can think of this as a super database. 161 00:06:32,330 --> 00:06:34,010 Within the container database, we 162 00:06:34,010 --> 00:06:37,490 can create pluggable databases or subdatabases 163 00:06:37,490 --> 00:06:39,350 inside the super database. 164 00:06:39,350 --> 00:06:42,560 To the user, a pluggable database or PDB 165 00:06:42,560 --> 00:06:45,120 looks just like the database it expects to see. 166 00:06:45,120 --> 00:06:48,590 But under the hood, the PDB lives inside the container 167 00:06:48,590 --> 00:06:50,690 database or CDB. 168 00:06:50,690 --> 00:06:53,060 A lot of benefits arise from this architecture. 169 00:06:53,060 --> 00:06:56,060 Databases can be patched either separately or together. 170 00:06:56,060 --> 00:06:59,360 Databases can be cloned easily, either within a CDB 171 00:06:59,360 --> 00:07:01,280 or between different CDBs. 172 00:07:01,280 --> 00:07:04,160 An entire database can be migrated somewhere else 173 00:07:04,160 --> 00:07:06,350 by simply unplugging it from its container 174 00:07:06,350 --> 00:07:08,030 and plugging it into another. 175 00:07:08,030 --> 00:07:10,280 Overall, the amount of administration required 176 00:07:10,280 --> 00:07:12,410 is greatly reduced since the DBA can 177 00:07:12,410 --> 00:07:14,690 manage all of the pluggable databases 178 00:07:14,690 --> 00:07:16,730 from the container itself. 14517

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