IoT Data Platforms: Processing IoT Data with Apache Kafka™

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The document discusses Confluent and Apache Kafka, an open-source platform for processing streaming data. Some key points: - Apache Kafka is used by Confluent to handle large volumes of streaming IoT and other data for many industries, with over 1.2 trillion messages per day. - Confluent was founded by the creators of Apache Kafka and has over 70% of active Kafka committers. Their platform allows connecting services via a shared distributed log and handling unlimited data streams. - The Confluent platform includes Apache Kafka core, along with additional tools like Schema Registry, Control Center, and Replicator for monitoring, administration and operations of streaming data pipelines.

Technology

11
IoT Data Platforms
Processing IoT Data with Apache Kafka™

22
Common Challenges with Internet of Things (IoT)
Systems are overwhelmed
by dramatic increases in
data volumes
The range of connected
devices is broad, no one
size-fits-all solution
Data streams must flow
both in and out of devices

33
More than 1
petabyte of data in
Kafka
Over 1.2 trillion
messages per day
Thousands of data
streams
Source of all data
warehouse &
Hadoop data
Over 300 billion
user-related events
per day

44
70% of active Kafka
Committers
Founded
September 2014
Technology developed
while at LinkedIn
Founded by the creators of
Apache Kafka
About Confluent and Apache Kafka™
Jay Kreps
CEO
Cheryl Dalrymple
CFO
Todd Barnett
VP WW Sales
Neha Narkhede
CTO, VP Engineering
Luanne Dauber
CMO
Chrix Finne
Head of Product

55
Kafka Adoption Spans Many Industries
Financial Services Enterprise Tech Consumer Tech
Entertainment & Media Telecom Retail Travel & Leisure

66
Connected Car and Swarm Intelligence Using Confluent
850 sensors feed
onboard processors
Regional data centers capture
swarm data in Kafka pipelines
Real-time traffic routing
across an entire geographic
region

77
IoT Value Chain and Confluent Platform
Sensors Data
M2M
Protocols
Local Data
Ingestion
IoT
Gateways
Data
Transmission
Confluent
Platform
Data
Aggregation
Data Ingestion
at Scale
Stream
Processing
Reporting
Actionable
Insights

88
The Confluent Advantage
Connect services via a
shared distributed log
Handle unlimited
stream of data
Backed by the people
that created Kafka
Operate with
confidence

99
Introducing Confluent CloudTM
A Way to Liberate Developers.

1010
“ Public cloud services that require
developers to program to proprietary
APIs will not succeed. ”
Neha Narkhede, Co-Founder and CTO at Confluent
https://www.confluent.io/blog/announcing-confluent-cloud-apache-kafka-as-a-service/

1111
Centrica Connected Home, Hive Home, and British Gas

1313
Confluent Platform: Enterprise Streaming based on Apache Kafka™
Database
Changes
Log Events loT Data Web Events …
CRM
Data Warehouse
Database
Hadoop
Data
Integration
…
Monitoring
Analytics
Custom Apps
Transformations
Real-time Applications
…
Apache Open Source Confluent Open Source Confluent Commercial
Confluent Platform
Confluent Platform
Apache Kafka™
Core | Connect | Streams
Data Compatibility
Schema Registry
Monitoring & Administration
Confluent Control Center
Operations
Replicator | Auto Data Balancing
Development and Connectivity
Clients | Connectors | REST Proxy

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Many cities are investing in technologies to transform their cities into smart city- environments in which data collection and analysis is utilized to manage assets and resources efficiently. Modern technology can help connect the right data, at the right time, to the right people, processes and systems. Innovations around smart cities and the Internet of Things give cities the ability to improve motor safety, unify and manage transportation systems and traffic, save energy and provide a better experience for the residents. By utilizing an event streaming platform, like Confluent, cities are able to process data in real-time from thousands of sources, such as sensors. By aggregating that data and analyzing real-time data streams, more informed decisions can be made and fine-tuned operations developed for a positive impact on everyday challenges faced by cities. Learn how to: -Overcome challenges for building a smarter city -Build a real time infrastructure to correlate relevant events -Connect thousands of devices, machines, and people -Leverage open source and fully managed solutions from the Apache Kafka ecosystem

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Vous apprendrez également à : • Créer plus rapidement des produits et fonctionnalités à l’aide d’une suite complète de connecteurs et d’outils de gestion des flux, et à connecter vos environnements à des pipelines de données • Protéger vos données et charges de travail les plus critiques grâce à des garanties intégrées en matière de sécurité, de gouvernance et de résilience • Déployer Kafka à grande échelle en quelques minutes tout en réduisant les coûts et la charge opérationnelle associés

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IoT Data Platforms: Processing IoT Data with Apache Kafka™

1. 11 IoT Data Platforms Processing IoT Data with Apache Kafka™

2. 22 Common Challenges with Internet of Things (IoT) Systems are overwhelmed by dramatic increases in data volumes The range of connected devices is broad, no one size-fits-all solution Data streams must flow both in and out of devices

3. 33 More than 1 petabyte of data in Kafka Over 1.2 trillion messages per day Thousands of data streams Source of all data warehouse & Hadoop data Over 300 billion user-related events per day

4. 44 70% of active Kafka Committers Founded September 2014 Technology developed while at LinkedIn Founded by the creators of Apache Kafka About Confluent and Apache Kafka™ Jay Kreps CEO Cheryl Dalrymple CFO Todd Barnett VP WW Sales Neha Narkhede CTO, VP Engineering Luanne Dauber CMO Chrix Finne Head of Product

5. 55 Kafka Adoption Spans Many Industries Financial Services Enterprise Tech Consumer Tech Entertainment & Media Telecom Retail Travel & Leisure

6. 66 Connected Car and Swarm Intelligence Using Confluent 850 sensors feed onboard processors Regional data centers capture swarm data in Kafka pipelines Real-time traffic routing across an entire geographic region

7. 77 IoT Value Chain and Confluent Platform Sensors Data M2M Protocols Local Data Ingestion IoT Gateways Data Transmission Confluent Platform Data Aggregation Data Ingestion at Scale Stream Processing Reporting Actionable Insights

8. 88 The Confluent Advantage Connect services via a shared distributed log Handle unlimited stream of data Backed by the people that created Kafka Operate with confidence

9. 99 Introducing Confluent CloudTM A Way to Liberate Developers.

10. 1010 “ Public cloud services that require developers to program to proprietary APIs will not succeed. ” Neha Narkhede, Co-Founder and CTO at Confluent https://www.confluent.io/blog/announcing-confluent-cloud-apache-kafka-as-a-service/

11. 1111 Centrica Connected Home, Hive Home, and British Gas

12. 1212 Kafka IoT

13. 1313 Confluent Platform: Enterprise Streaming based on Apache Kafka™ Database Changes Log Events loT Data Web Events … CRM Data Warehouse Database Hadoop Data Integration … Monitoring Analytics Custom Apps Transformations Real-time Applications … Apache Open Source Confluent Open Source Confluent Commercial Confluent Platform Confluent Platform Apache Kafka™ Core | Connect | Streams Data Compatibility Schema Registry Monitoring & Administration Confluent Control Center Operations Replicator | Auto Data Balancing Development and Connectivity Clients | Connectors | REST Proxy

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