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Building a Real-Time Kafka + Cassandra Pipeline

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Building a Real-Time Kafka + Cassandra Pipeline
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The article discusses the integration of Apache Kafka and Apache Cassandra for building a real-time data pipeline. Kafka is used for high-throughput event streaming, while Cassandra provides scalable and fault-tolerant storage. An example is provided of a movie streaming company utilizing this combination to manage user data and enhance recommendations.

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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3709542) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } GeraldM Posted on May 24 Building a Real-Time Kafka + Cassandra Pipeline #dataengineering #cassandra #kafka Introduction Apache Kafka and Apache Cassandra pair effectively because they complement each other's strengths: Kafka handles high throughput, real-time event streaming and ingestion, while Cassandra provides scalable, fault tolerant and low-latency persistent storage for processed data.

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