Presented at JAX London 2013 as a last-minute addition to the schedule.

1. W
ELCOM TO
E
Tal end
Connec t
London
2013

2. Expl ori ng t he Tal end Uni f i ed B g D a t ool s et f or
i
at
Sent i m
ent Anal ys i s .

“Sentiment Analysis” aims to understand what people say about your
organisation on social media, eg. Twitter

Demonstrate interoperability of Talend tools

Demonstrate our Big Data capabilities

This is a shameless excuse to play with all the shiny tools in Talend’s box!

Not intended as a masterclass in Sentiment Analysis
© Talend 2012
2

3. Tal end’ s Uni que Int egrat i on
Sol ut i on
B t - of es
B
reed
Sol ut i on
s
+
Tal end
Uni f i ed
P at f orm
l
➜
➜
➜
➜
➜
Reduce costs
Eliminate risk
Reuse skills
Economies of scale
Incremental adoption
© Talend 2012
=
Uni que
Int egrat
i on
Sol ut i on
3

4. Anat om of a dem
y
o
Sentiment
TALEND
TALEND
ESB
ESB
(Stream)
(Stream)
TALEND
TALEND
BIG DATA
BIG DATA
(Integration)
(Integration)
HDFS
Dashboard
TALEND
TALEND
ESB
ESB
(Service)
(Service)
Map/Reduce
HADOOP
© Talend 2013
© Talend 2012
4

5. St ream ng Tw
i
eet s



An ESB Mediation Route to ‘stream’ tweet data from Twitter’s public API
Perfect example of Talend’s open standard extensibility
Apache Camel enterprise integration patterns
© Talend 2012
5

6. D o part 1.
em
© Talend 2012
Tw
eet t w
eet .
7

7. P
roc es s i ng i n H
adoop



Map/Reduce processing of data in-situ across Hadoop
Zero installation/configuration required
Thousands of graphical ETL developers can now be Big Data developers
© Talend 2012
8

8. D o part 2.
em
boot s …
© Talend 2012
John N
oakes t rem es i n hi s
bl
10

9. Expos e res ul t s as a Servi c e



Talend real-time Service exposes results held in a database
Same tooling and deployment platform as normal Data Integration
Request/Response model for end user dashboard
© Talend 2012
11

10. D o part 3.
em
© Talend 2012
W t er! Servi c e pl eas e …
ai
13

11. K
ey t akeaw
ays f rom t oday

Talend Unified Platform provides a broad toolset for data projects

Streaming Routes for pulling raw data from an API

Batch processing (including Map/Reduce, PIG, HIVE on Hadoop)

Real-time Services for provision to end user visualisation
There’s value in them there tools …

Big data skills no longer too costly

Shallow learning curve from data integration to data services and beyond

Yes, you can connect to it, and extract value from it
© Talend 2012
14

12. Thank You and on w t h t he s how
i
!