1 00:00:00,000 --> 00:00:05,081 We now continue our journey of big data technology having studied map produce and 2 00:00:05,081 --> 00:00:08,792 got started with a programming assignment last week. 3 00:00:08,792 --> 00:00:14,284 We now turn to distributed file systems, databases and most importantly, the 4 00:00:14,284 --> 00:00:19,372 emerging trends and directions which this technology is taking. 5 00:00:19,372 --> 00:00:27,180 I must warn you that, this week's lecture is rather broad, covers a lot of ground, 6 00:00:27,180 --> 00:00:31,751 and, is pretty scarce on deep detail examples. 7 00:00:31,751 --> 00:00:38,781 We're, we're just covering too much this week to afford too many examples. 8 00:00:38,781 --> 00:00:46,619 This week's lecture is therefore, much more of a high level overview of where big 9 00:00:46,619 --> 00:00:53,314 data technology came from and where it's going, will be very useful to graduate 10 00:00:53,314 --> 00:00:57,677 students. But, might leave some of you who don't 11 00:00:57,677 --> 00:01:04,700 have a strong background in operating systems, databases, etc., behind a little 12 00:01:04,700 --> 00:01:08,562 bit. But, I'm sure many of you will learn a lot 13 00:01:08,562 --> 00:01:15,830 and derive some fundamental insights into what big data is all about what the fuss 14 00:01:15,830 --> 00:01:21,014 about the technology is. At the same time, don't be disheartened if 15 00:01:21,014 --> 00:01:27,275 you start getting left behind because of a lack of, understanding of how database 16 00:01:27,275 --> 00:01:31,856 technology works. But, bear with me and pick up whatever you 17 00:01:31,856 --> 00:01:37,056 can from this lecture, which I think, really reflects my understanding and 18 00:01:37,056 --> 00:01:44,066 insight after talking to many people who are leaders in this field today.