7. #DataOps IoT Challenges
Enormous Volumes of Data
“500 billion connected devices by 2025”
Its Management and Analysis will become
harder and continue to break traditional tools
9. How to implement a Streaming
Architecture for IoT Time-Series
data and Real-Time insights?
10. Infrastructure Layer
Where the Data lives
Self-service Data Access,
Multi-tenancy,
Security, Governance to
Accessibility & Visibility
for ALL
11.
12. IoT & kafka
High Volumes, N devices & irregular intervals
Real Time Analytics & Microservices
Multiple sources of data & long term storage
An open source streaming framework with messaging
semantics where records are key-value pairs
Unlimited streams of data, async transfers
Producers & Consumers decoupled operation
Kafka Streams API
Processing and analysing data in motion
Kafka Connect API,
Move data with pluggable reusable & scalable connectors
26. Lenses Box
● Always Free for Developers
● Single Broker setup with the
ecosystem services
● 25+ Open source Kafka
connectors
● Synthetic Data generators and
running examples
● Lenses intuitive UI
● The powerful Lenses SQL
● Works on your Laptop, works
on Cloud