Name: How to Build Streaming Pipelines for Cloud Databases
Start: 2024-01-08T04:37:00Z
End: 2024-01-08T04:37:29.000Z
Location: BrightTALK
Rating: 0

"Fluent" in Confluent
Get ready to set your data in motion. Confluent provides the complete set of tools needed to connect and process data streams throughout your entire business in order to build smart, real-time applications.

Learn about how Confluent is the most widely used tool for event-driven microservices.

Lack of expertise and resources, transitioning difficulties, unpredictable outages, securing streaming data, governance issues, and scaling obstacles are all-too-common elements that impede successful Apache Kafka deployments in organizations like yours. 

In order to surmount these roadblocks, our panel of experts in this webinar will equip you with the knowledge needed for a seamless Kafka deployment. It’s time to embark on a transformative journey to Kafka success. 

In this enlightening session, "Top 6 Reasons Kafka Projects Fail and How to Overcome Them,” you’ll delve into the powerful capabilities of Apache Kafka and gain valuable insights on overcoming common Kafka deployment challenges via real-world examples and practical strategies.

Save your spot now to unlock the full potential of Kafka, enabling you to focus on building exceptional customer experiences and enhancing business efficiency through data-driven operations. Don't miss this opportunity for a successful Kafka journey!

Top 6 Reasons Kafka Projects Fail and How to Overcome Them

Unlock the potential of your data assets by learning how to build streaming data pipelines that bridge siloed applications and fragmented data estates. In this hands-on session, discover how to connect Confluent's fully managed PostgreSQL CDC Source connector to stream customer data to Confluent Cloud and use a sink connector to stream enriched data into Snowflake for real-time analytics. The session also covers processing and enriching data with ksqlDB, creating a unified view of customer behavior, and governing data pipelines using Schema Registry and stream lineage.

Show Me How: Build Streaming Data Pipelines for Real-Time Data Warehousing

Join Confluent experts Andrew Sellers, Staff Technologist, and David Peterson, Principal Solutions Engineer, in a groundbreaking webinar delving into the latest blog post by Confluent CPO Michael Drogalis—'GPT-4 + Streaming Data = Real-Time Generative AI.' Gain practical insights into working with AI, unravel the inner workings of ChatGPT and generative AI, and learn how to seamlessly integrate this transformative technology into your business workflows. Don't miss your chance to be part of this live conversation, unlocking the true potential of real-time generative AI and revolutionizing your approach to customer engagement.

GPT-4 + Streaming Data = Real-Time Generative AI

Discover how event-driven architecture (EDA) and event-driven microservices can revolutionize modern application development by completely decoupling architecture and eliminating interservice dependencies. This webinar addresses the limitations of monolithic and existing microservices approaches, showcasing a Strangler Fig pattern for application modernization. Featuring a demo and use case with Confluent's managed connectors, ksqlDB for real-time data processing, and Elasticsearch Sink connector for dynamic dashboard updates, this session provides insights into building highly scalable, contextually aware, and resilient event-driven microservices. Register today to learn and apply these principles to transform your application architecture!

Breaking the Monolith: Unlocking the Power of Event-Driven Microservices

Explore the nuances of implementing a data mesh architecture and overcome challenges, particularly in the context of legacy data pipelines, by adopting a modern approach that incorporates streaming data. This webinar offers insights from analyst Michele Goetz on best practices for building a data mesh and outlines principles for constructing enhanced data pipelines for this architecture, as shared by Mike Agnich, VP of Product at Confluent. Additionally, learn from Lumen's experience on leveraging streaming pipelines to implement a data mesh and architect a democratized data marketplace. Don't miss this opportunity to delve into the concept and real-life implementation of a data mesh—join us and bring your questions!

Data Mesh: From Concept to Implementation

In this webinar, discover how legacy data pipelines are hindering organizations from maximizing the value of their data in the era of real-time streaming. Using the story of a bank leveraging an Oracle database, RabbitMQ, and MongoDB Atlas, the session showcases a live demo of Confluent's managed connectors for Oracle CDC Source and RabbitMQ Source, ksqlDB for real-time data merging and analysis, and the MongoDB Atlas sink connector for loading transformed data. Gain insights into the challenges of batch-based pipelines and unlock the benefits of streaming data pipelines to empower modern, real-time operational use cases.

How to Build Streaming Pipelines for Cloud Databases

Streaming

Cloud Architecture

Data Architecture

Apache Kafka

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Cloud Computing

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How to Build Streaming Pipelines for Cloud Databases

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