So, what you should have learned so far,
in this introductory lecture, is what big
data is all about, what is web
intelligence, and what is big data
analytics.
You should be able to answer simple
questions that may arise in casual
conversations these days about any of
these topics already.
To test your understanding, we have a
small quiz.
So, please complete that quiz before
Monday.
Last but not least, please remember to
fill the survey questionnaire so that I
get to know all of you better.
Before wrapping up the week, I'll give you
a preview of what's to come in the next
few weeks.
The next week is all about search and
finding stuff.
The basic elements of web search, page
rank, and indexing will be covered next
week.
Normally, this is not a part of what we
consider big data, or web intelligence.
However, I feel it's really important to
understand how the web works, how big data
and web scale is stored and can be easily
accessed because it's otherwise impossible
to deal with other kinds of big data
unless one understands these basics.
So, next week, we'll cover search and
indexing, ranking, and some relationships
to human memory, which might be
interesting to some of you.
Searching structured data using search
techniques rather than data base ones and
then get into some slightly advanced
topics as well, in particular, object
search, where we will study locality
sensitive hashing and touch upon
associative memory.
Both topics very relevant to big data.
At the same time, searching, indexing, and
ranking will be really warm-up exercises
easier than the weeks that follow where
you'll get into little more Mathematics
with machine learning and information
theory, followed by big data technology
where we need to understand how databases
and distributed systems actually work.
So, the next week might seem a little
easy-going to some of you, and probably
will get many of you up to speed so that
you're able to handle the challenges of
the following weeks.
So I look forward to see all of you next
week for our first full-blown lecture.
See you then.