Build robust streaming data pipelines with MongoDB and Kafka P2
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Kafka is an event streaming solution designed for boundless streams of data that sequentially write events into commit logs, allowing real-time data movement between your services. The MongoDB database is built for handling massive volumes of heterogeneous data. Together MongoDB and Kafka make up the heart of many modern data architectures today. Database plays a critical role in event-driven architectures. While events flow through Kafka in an append-only stream, MongoDB helps the consumer to proactively make streams of data from the source systems available in real time. The MongoDB Connector for Kafka simplifies building a robust, streaming event pipeline.
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RDBMS vs. Flexible Data Model
Relational MongoDB
{ customer_id : 3,
first_name : ”Danilo",
last_name : ”Nobrega",
city : ”Stockholm",
phones: [
{
number : “46-64-223-9828”,
dnc : true,
type : “home”
},{
number : “46-173-555-
12144”,
type : “cell”
}]
}
Customer ID First Name Last Name City
0 Jonah Rosenboom Hamburg
1 Tim Schojohann München
2 Boris Bialek Zürich
3 Danilo Nobrega Stockholm
4 Ingo Marienfeld Düsseldorf
Phone Number Type DNC Customer ID
49-69-223-9828 home T 3
49-69-143-45986 home T 0
49-173-555-12144 cell (null) 3
49-69-777-1212 home T 1
49-175-698-1213 cell (null) 1
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Build robust streaming data pipelines with MongoDB and Kafka P2
- 2. MongoDB Adoption 90,000,000+ MongoDB Downloads 1 500,000+ Online Education Students 1m+ MongoDB Atlas Clusters 75,000+ MongoDB User Group Members 1,000+ Technology and Services Partners 17,500+ Customers Across All Industries DB-Engines Rankings Fastest Growing Database over the past decade Worldwide Activations
- 3. 3 Data which is accessed together, is stored together... Customer Product Contact Pricing Phone Phone Objects Tables isolated in several applications and domains Lead NameNameParts ARR Address Contact Roles SummaryCustomer Detail Specs How to build a flexible and scalable operational data store??
- 4. 4 RDBMS vs. Flexible Data Model Relational MongoDB { customer_id : 3, first_name : ”Danilo", last_name : ”Nobrega", city : ”Stockholm", phones: [ { number : “46-64-223-9828”, dnc : true, type : “home” },{ number : “46-173-555- 12144”, type : “cell” }] } Customer ID First Name Last Name City 0 Jonah Rosenboom Hamburg 1 Tim Schojohann München 2 Boris Bialek Zürich 3 Danilo Nobrega Stockholm 4 Ingo Marienfeld Düsseldorf Phone Number Type DNC Customer ID 49-69-223-9828 home T 3 49-69-143-45986 home T 0 49-173-555-12144 cell (null) 3 49-69-777-1212 home T 1 49-175-698-1213 cell (null) 1 49-162-767-444 cell F 2
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