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A REFERENCE BIG DATA ARCHITECTURE FOR INTERNET OF THINGS IOT

A session at IoT Slam® 2016 Second International Internet of Things Conference (Virtual Event)

We are already in the era of ‘connected things’ — our mobile phones, computers, tablets and wearables sync and talk via ‘cloud’. IoT presents a lots of challenges; especially data coming in at high volume and high velocity — imagine billions of devices each sending readings every few seconds or minutes. All this data need to be stored and analyzed. Plus we need to think about security, privacy and compliance.

In this talk we will present a reference data architecture for IoT. We draw on industry’s best practices on Big Data including Lambda architecture patterns. Lambda architecture outlines generic, scalable and fault-tolerant data processing. We will illustrate a potential data pipeline and discuss how each stage might be implemented and technology choices at each stage.

Speaker:

Sujee Maniyam
Founder at Elephant Scale

Sujee Maniyam is a seasoned Big Data practitioner and teaches Big Data technologies (Hadoop, Spark, NoSQL and Cloud). He is an open source contributor and author of ‘Hadoop illuminated’ (an open-source book on Hadoop) and ‘HBase Design Patterns’. Sujee is a frequent speaker at various conferences and meetups. He also advises and mentors various firms.

Sujee is a founder and principal at Elephant Scale that specializes in training around Big Data technologies. Sujee’s work can be found @ http://sujee.net

About the speaker

This person is speaking at this event.
Sujee Maniyam

Founder / Principal at Elephant Scale

Sujee Maniyam is a seasoned Big Data practitioner and teaches Big Data technologies (Hadoop, Spark, NoSQL and Cloud). He is an open source contributor and author of ‘Hadoop illuminated’ (an open-source book on Hadoop) and ‘HBase Design Patterns’. Sujee is a frequent speaker at various conferences and meetups. He also advises and mentors various firms.

Sujee is a founder and principal at Elephant Scale that specializes in training around Big Data technologies. Sujee’s work can be found @ http://sujee.net

1 attendee

  • Sujee Maniyam

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