filmov
tv
Unlocking Real-Time Data Insights: Leveraging Confluent Cloud on Azure
![preview_player](https://i.ytimg.com/vi/8Ms_W11JIgA/maxresdefault.jpg)
Показать описание
Traditional data pipelines face scalability and cost challenges due to monolithic design and batch processing. They assume all data must be stored in one location, leading to time-consuming, expensive, and error-prone processes.
Confluent Cloud on Azure provides a fully managed cloud-native data streaming platform that simplifies how you build real-time data flows with data streaming pipelines. Join our session to discover how to leverage data pipelines to capture changes to data in real-time, enrich them instantly, and send them to downstream systems.
Gain insights into data streaming use cases, including database pipelines and data warehouse pipelines. Learn how to deliver trustworthy, high-quality self-service access to data so developers can quickly innovate and bring new products to market faster.
Highlights:
- Use streaming data pipelines to gain real-time access to data on Azure instead of processing data in batches with extract, transform, and load (ETL) pipelines.
- Analyze data, ensure downstream compatibility, and make data instantly usable wherever needed.
- Simplify data flow development and iteration so you can boost developer productivity.
- Use Confluent Cloud with Azure Cosmos DB, Azure Synapse, and Azure Functions.
ABOUT CONFLUENT
#confluent #apachekafka #kafka
Confluent Cloud on Azure provides a fully managed cloud-native data streaming platform that simplifies how you build real-time data flows with data streaming pipelines. Join our session to discover how to leverage data pipelines to capture changes to data in real-time, enrich them instantly, and send them to downstream systems.
Gain insights into data streaming use cases, including database pipelines and data warehouse pipelines. Learn how to deliver trustworthy, high-quality self-service access to data so developers can quickly innovate and bring new products to market faster.
Highlights:
- Use streaming data pipelines to gain real-time access to data on Azure instead of processing data in batches with extract, transform, and load (ETL) pipelines.
- Analyze data, ensure downstream compatibility, and make data instantly usable wherever needed.
- Simplify data flow development and iteration so you can boost developer productivity.
- Use Confluent Cloud with Azure Cosmos DB, Azure Synapse, and Azure Functions.
ABOUT CONFLUENT
#confluent #apachekafka #kafka