The document outlines a workflow for collecting and analyzing Twitter data using IBM's Bluemix platform, Node-RED, and various analytics tools. It details steps for data collection, sentiment analysis, and storage in DashDB for further exploration with R and Watson Analytics. The process emphasizes schema-on-read and integrates several IBM services for big data analysis.

1. © 2015 IBM Corporation1
Wilfried
Hoge
IT
Architect
Big
Data
@wilfriedhoge
Twi.er
Analy3cs
in
Bluemix

2. © 2015 IBM Corporation2
Collect
data
with
Node
Red
Add
sen:ment
with
Text
Analy:cs
In
BigInsights
Bring
data
to
DashDB
for
ad-­‐hoc
analysis
Analyze
with
R
In
RStudio
Analyze
with
WatsonAnaly:cs
Run
on
Bluemix

3. © 2015 IBM Corporation3
Start
from
Bluemix
Dashboard

4. © 2015 IBM Corporation4
Node
Red
applica3on
with
bound
services

5. © 2015 IBM Corporation5
Node
Red:
Collect
Twi.er
data
and
write
to
HDFS

6. © 2015 IBM Corporation6
Open
bound
Hadoop
service
–
BigInsights

7. © 2015 IBM Corporation7
Find
wri.en
Tweets
in
HDFS
–
JSON
format

8. © 2015 IBM Corporation8
Bring
schema
on-­‐read
to
the
data

9. © 2015 IBM Corporation9
Add
sen3ment
with
text
analy3cs
in
BigSheets

10. © 2015 IBM Corporation10
Twi.er
data
with
sen3ment
in
BigSheets

11. © 2015 IBM Corporation11
Copy
data
to
DashDB
for
further
analysis

12. © 2015 IBM Corporation12
Open
DashDB
from
Bluemix
Dashboard

13. © 2015 IBM Corporation13
Have
the
Twi.er
data
ready
for
analysis

14. © 2015 IBM Corporation14
Start
RStudio
directly
from
DashDB

15. © 2015 IBM Corporation15
Run
R
Scripts
on
Twi.er
data
in
DashDB

16. © 2015 IBM Corporation16
Ask
Watson
Analy3cs
to
help
analyzing

17. © 2015 IBM Corporation17
Watson
Analy3cs
suggests
a
result

18. © 2015 IBM Corporation18
What
is
Watson
Analy:cs?
What
is
DashDB?