Apache Kafkaยฎ๏ธ ๋น„์šฉ ์ ˆ๊ฐ ๋ฐฉ๋ฒ• ๋ฐ ์ตœ์ ์˜ ๋น„์šฉ ์„ค๊ณ„ ์•ˆ๋‚ด ์›จ๋น„๋‚˜ | ์ž์„ธํžˆ ์•Œ์•„๋ณด๋ ค๋ฉด ์ง€๊ธˆ ๋“ฑ๋กํ•˜์„ธ์š”

Online Talk

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

์ง€๊ธˆ ์‹œ์ฒญํ•˜๊ธฐ

Available On-demand

Data pipelines continue to do the heavy-lifting in data integration. However, many organizations struggle to capture the enormous potential of their data assets as theyโ€™re locked away behind siloed applications and fragmented data estates.

Learn how to build streaming data pipelines to data warehouses to use real-time, enriched data. Whether your data is on-prem, hybrid, or multicloud, streaming pipelines help break down data silos and power real-time operational and analytical use cases.

During this hands-on session, we'll show you how to:

  • Connect using Confluentโ€™s fully managed PostgreSQL CDC Source connector to stream customer data to Confluent Cloud. We'll also use a fully managed sink connector to stream enriched data into Snowflake for subsequent analytics and reporting.
  • Process and enrich data in real time with ksqlDB, generating a unified view of customersโ€™ shopping habits.
  • Govern data pipelines using Schema Registry and stream lineage.

We'll have a Q&A to answer any of your questions. Register today and learn to build your own streaming data pipelines!

Additional Resources: