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eBook

Top Three Use Cases for Streaming Data Pipelines

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Today’s leading companies outpace their competitors by accessing and making better use of their most critical data.

But data silos hinder swift and informed decision making, ultimately impacting business and customer experience agility. In fact, 60% of tech leaders struggle with integrating multiple data sources—the biggest hurdle to accessing more real-time data. Here’s the good news: streaming data pipelines help get your data to the right place, at the right time, in the right format—so you can build data products faster, unlock endless use cases, and deliver more personalized customer experiences.

Our latest eBook explores legacy data pipelines challenges—and how streaming pipelines and existing tech partners can help you optimize how data flows through your company, and make it more accessible throughout your organization.

Read the “Top 3 Use Cases for Streaming Data Pipelines” eBook to:

  • Learn how Confluent—and our platform, working seamlessly with major cloud service providers like AWS, Microsoft Azure, and Google Cloud—makes it easy and cost-effective to build streaming data pipelines for your entire IT infrastructure

  • Understand how traditional data pipelines (think ETL and reverse ETL) get in the way of building better data products

  • Uncover how streaming data pipelines are built for real-time data access instead of processing data in batches

  • Hear how Confluent customers Amway, Picnic, SecurityScorecard, and Toolstation are driving endless use cases with streaming data pipelines

Additional Resources

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Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
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Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
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e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices