IoT with Talend- Integrating Real-Time Data Streams with Spark and Kafka

IoT with Talend- Integrating Real-Time Data Streams with Spark and Kafka

Date & Time
Thursday, 6 April, 2017 - 18:00 to 21:00
Food and beverages served?
Seminar room
Type of event
Public Event (Open for walk-ins)

Integrating Real-Time Data Streams with Spark and Kafka for data-driven organization. 

Join Talend as they bring you a deep, technical discussion on the real-world data science that underlies modern data-driven organization. Working from IOT real time-streaming data, and using tools that you can use yourself, Talend will walk through the process of building an analytics package, using Spark and Kafka to collect real-time instrumentation data and produce meaningful results in minutes. 


There will be some prizes to be won during QnA!!


Speaker’s bio:

SengJoo Lim

A Solutions Engineer at Talend, SengJoo brings over 16 years of diverse experience in pre/post sales solution architecting, customer/partners engagement, programme/project management and service delivery with specialization in new business demand creation especially cloud adoption, various technology consultation, programme development, project implementation and operation management. SengJoo has extensive knowledge on Data Integration, Application Integration, Data Quality, Cloud Integration and of course Big Data Integration.

Follow Talend:

Talend User Group in Singapore





DATE & AGENDA: Thursday, 6th April 2017

• 06:00 pm – Registration & Networking over snacks (sponsored by Talend)

• 06:50 pm – Introduction by CK 

• 07:00 pm – Talk & Demo by SengJoo

• 08:15 pm –  QnA 

• 08:30 pm - Networking continued


VENUE: NUS [email protected], 71 Ayer Rajah Crescent #02-01, SG139951


Note: Please note that photography and videography will be carried out throughout the event.  IoT SG, Event Sponsors, Supporters may use some or all of these images in its print publications, digital, social platforms and/or marketing channels. We also ask some personal information and questions during registration. This data is used to do further due diligence to improve the quality of events. This data may also be shared with sponsoring organisations, speakers to help them to collaborate more efficiently. We do not sell your data.