Sunday Live | OpenMLDB Pulsar Connector, efficiently connecting real-time data to feature engineering

The new Apache Pulsar surrounding ecology OpenMLDB Pulsar Connector is here! This Sunday (April 17) 10:00-12:00 , StreamNative and Apache Pulsar community engineers joined the OpenMLDB Meetup live online . Open up the upstream and downstream data ecology, from development principles to practical exercises, analyze the integration of OpenMLDB and Apache Pulsar.

The main content of this Meetup: facing the upstream data ecology of OpenMLDB, in-depth analysis of the cloud-native messaging platform Apache Pulsar; for real-time feature computing scenarios, introducing the feature development process based on OpenMLDB and the architecture of the machine learning feature computing platform; OpenMLDB Pulsar Connector practical exercise, Efficiently connect real-time data to feature engineering.

(Identify the QR code to join the group to watch the live broadcast)

Activity overview

Event time: April 16, 10:00-12:00

Format of the event: live online

Partner: StreamNative

Topic introduction

OpenMLDB Pulsar Connector Practical Exercise

In-depth analysis of cloud native message flow platform Apache Pulsar

The cloud-native era message queue and stream fusion system provides a unified consumption model and supports both message queue and stream scenarios. It can not only provide enterprise-level read and write service quality and strong consistency guarantee for queue scenarios, but also provide high-quality streaming scenarios. Throughput and low latency; adopting the storage and computing separation architecture, supporting enterprise-level and financial-level functions such as large clusters, multi-tenancy, millions of topics, cross-regional data replication, persistent storage, tiered storage, and high scalability.

GitHub address: http://github.com/apache/pulsar/

Scenario Keywords :

Asynchronous decoupling peak shaving and valley filling cross-city synchronous message bus

Stream storage Batch stream fusion Real-time data warehouse Financial risk control

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