seminar on this topic in First semester BE. about the data warehouse in social media sites. like Facebook, twitter,LinkedIn,

1. Data Warehouse in Social
Networks
By Narayan Dudhe

2. Feature of Data Warehouse
1. Non-Volatile
2. Time variant
3. Subject oriented
4. Integrated.
5. Itis support Dss

3. Why Social media is important?

4. challenges
Data volume growth is accelerating, making it cumbersome to capture and
analyze Web data
Unstructured social media data growth compounds the challenge, particularly as
it must be integrated with enterprise structured data
Multiple Web interaction platforms (PC, smartphone, tablet) further add to data
capture and integration challenges
Location and other smartphone sensor-based feeds also increase the complexity
of continuous/real-time data capture There is no single tool available to capture
and analyze all types of data

5. Social Media
Facebook
Twitter
Linkdin
etc

6. Data Extraction from Data Warehouse
1. By using ETL tool
2. -data extraction
3. -data cleaning
4. -data transformation
5. -data loading

7. Some examples of raw social media data can include:
● Shares
● Likes
● Mentions
● Impressions
● Hashtag usage
● URL clicks
● Keyword analysis
● New followers
● Comments

8. Twitter Analytics
● Engagement Rate: Total link clicks, Retweets, favorites and replies on your Tweet
divided by total impressions.
● Followers: Total number of Twitter followers.
● Link Clicks: Total number of URL and hashtag links clicked.
● Profile Visits: Total Twitter profile visits.
● Replies: How many times people replied to your Tweets.
● Retweets: Total Retweets received by others.
● Tweet Impressions: Total of times your Tweet has been viewed whether it was clicked
or not.
● Tweets: How many Tweets you’ve posted.

9. Thank You