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LIVE WEBINAR:
Build robust streaming data pipelines
with MongoDB and Kafka
Sandeep K.
CTO & Director, Ashnik
Paresh Saraf
Senior Solutions Architect, MongoDB
Ajit Gadge
Principal Solution Architect, Ashnik
Nagarajan
Technical Support Consultant, Ashnik
Webinar Covers
1. Event / Data streaming Platform – Drivers - Why? Where?
2. Key Components of Streaming architecture
3. MongoDB technology offerings and capabilities overview
4. Use cases / scenarios of building streaming platform using Kafka and MongoDB
5. Demo - Installing and configuring the MongoDB Connector for Kafka –
to build robust and reactive data pipelines
Real-time Business
Event-Streaming architecture enables you to
make your business real-time (“always on” )
Where do we see Event streaming applied
across organizations?
BFSI, Stock Exchange
Logistics and automotive industry
IoT devices and factories
Retail, Hospitality and Telecoms
Hospitals
Within the organizations
Microservices and Event driven architectures
Key components of Streaming Pipeline Architecture
Apache Kafka and MongoDB = FSA (Flexibility,
Scalability and Agility)
Let’s deep dive
Into the insights of MongoDB’s capabilities and
how we can build streaming pipeline using Kafka and MongoDB
Social
Media
Marketing ERP
Third
Party
API
Universal Message Queue
ETL
CDC
Main frame
RDBMS
STAGING -
RDBMS
ETL
Legacy System
New System Challenge's
• Data Access Locked
• Data in Silo
• Scalability
• On-Demand Access
• Managing Cost
• Cloud Data Strategy
Consumer
Systems
Core Insurance Data
Legacy System
+
New System
Consumers
• Microservices
• API’s
• DW
• Data Mart/BI
ODS Platform
CDC ETL
Message
Queue
Operational Data Model
Real Time Real Time
Build robust streaming data pipelines with MongoDB and Kafka
Demo time!
On your screen now
Q & A
Please write your questions in the chat box
THANK YOU FOR ATTENDING THE WEBINAR
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Build robust streaming data pipelines with MongoDB and Kafka

  • 1. LIVE WEBINAR: Build robust streaming data pipelines with MongoDB and Kafka
  • 2. Sandeep K. CTO & Director, Ashnik Paresh Saraf Senior Solutions Architect, MongoDB Ajit Gadge Principal Solution Architect, Ashnik Nagarajan Technical Support Consultant, Ashnik
  • 3. Webinar Covers 1. Event / Data streaming Platform – Drivers - Why? Where? 2. Key Components of Streaming architecture 3. MongoDB technology offerings and capabilities overview 4. Use cases / scenarios of building streaming platform using Kafka and MongoDB 5. Demo - Installing and configuring the MongoDB Connector for Kafka – to build robust and reactive data pipelines
  • 4. Real-time Business Event-Streaming architecture enables you to make your business real-time (“always on” )
  • 5. Where do we see Event streaming applied across organizations? BFSI, Stock Exchange Logistics and automotive industry IoT devices and factories Retail, Hospitality and Telecoms Hospitals Within the organizations Microservices and Event driven architectures
  • 6. Key components of Streaming Pipeline Architecture
  • 7. Apache Kafka and MongoDB = FSA (Flexibility, Scalability and Agility)
  • 8. Let’s deep dive Into the insights of MongoDB’s capabilities and how we can build streaming pipeline using Kafka and MongoDB
  • 9. Social Media Marketing ERP Third Party API Universal Message Queue ETL CDC Main frame RDBMS STAGING - RDBMS ETL Legacy System New System Challenge's • Data Access Locked • Data in Silo • Scalability • On-Demand Access • Managing Cost • Cloud Data Strategy Consumer Systems Core Insurance Data
  • 10. Legacy System + New System Consumers • Microservices • API’s • DW • Data Mart/BI ODS Platform CDC ETL Message Queue Operational Data Model Real Time Real Time
  • 12. Demo time! On your screen now
  • 13. Q & A Please write your questions in the chat box
  • 14. THANK YOU FOR ATTENDING THE WEBINAR
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