Kate Holterhoff, Ph.D.’s Post

Unlock the power of real-time data streaming with Apache Kafka! My latest article explores how this robust open-source platform is transforming businesses across industries and optimizing them. Discover how Apache Kafka can revolutionize your organization's growth and success. Whether you're a part of a product team or a tech enthusiast, this article will equip you with valuable insights to gain a competitive advantage. You can read it here 👉 https://lnkd.in/dnnCnZbb #apachekafka #kafka #dataprocessing #realtimedata #digitaltransformation #businessgrowth

RisingWave is an #opensource streaming #database in the processing layer of the modern #datalakehouse built for performance and scalability. RisingWave was designed to allow developers to run SQL on streaming data. It positions itself as an alternative to Apache Flink and ksqlDB, and plays well with other Kubernetes-native technologies in this space—particularly those also built for speed and scale. Databases and datalakes SME Brenna Buuck integrates RisingWave and MinIO using Docker Compose: https://hubs.li/Q02vQlj00

RisingWave is an #opensource streaming #database in the processing layer of the modern #datalakehouse built for performance and scalability. RisingWave was designed to allow developers to run SQL on streaming data. It positions itself as an alternative to Apache Flink and ksqlDB, and plays well with other Kubernetes-native technologies in this space—particularly those also built for speed and scale. Databases and datalakes SME Brenna Buuck integrates RisingWave and MinIO using Docker Compose: https://hubs.li/Q02vQkvN0

RisingWave is an #opensource streaming #database in the processing layer of the modern #datalakehouse built for performance and scalability. RisingWave was designed to allow developers to run SQL on streaming data. It positions itself as an alternative to Apache Flink and ksqlDB, and plays well with other Kubernetes-native technologies in this space—particularly those also built for speed and scale. Databases and datalakes SME Brenna Buuck integrates RisingWave and MinIO using Docker Compose: https://hubs.li/Q02vQlY-0

Curious about the tech behind real-time data processing at scale? My latest article dives into how RocksDB, a robust key-value store, powers Apache Kafka for high-throughput applications. Here’s why RocksDB is essential in Kafka: 1. Manages stateful stream processing — keeps track of events to ensure accurate results. 2. Powers fast, local reads — ideal for data-heavy operations. 3. Enables complex operations like joins and aggregations — crucial in finance, e-commerce, and gaming. 4. Supports custom state management — from session tracking to in-game currency tracking. But RocksDB isn’t limited to Kafka alone! With its LSM tree architecture and multi-threaded capabilities, it’s also a go-to choice in many other distributed systems. In the article, I unpack: - Real-world use cases - Code examples - Best practices and pitfalls Dive into the full story here 👉 https://lnkd.in/geMVbyR6 Let me know your thoughts on RocksDB’s role in stream processing! #RocksDB #ApacheKafka #DataEngineering #DistributedSystems

It’s baaack. Confluent’s second issue of Confluent Chronicles is here! Inside, you’ll find a clever, but relatable approach (if I do say so myself) to learn about the fundamentals of Apache Flink, stream processing, and Confluent. Our heroes, developer and architect team, Ada and Jax are struggling with decentralized data processing challenges and need a manageable, cost-effective stream processing solution for an important upcoming launch. They embark on their next adventure to learn why Apache Kafka and Apache Flink are better together. Get your copy now!

It’s baaack. Confluent’s second issue of Confluent Chronicles is here! Inside, you’ll find a clever, but relatable approach (if I do say so myself) to learn about the fundamentals of Apache Flink, stream processing, and Confluent. Our heroes, developer and architect team, Ada and Jax are struggling with decentralized data processing challenges and need a manageable, cost-effective stream processing solution for an important upcoming launch. They embark on their next adventure to learn why Apache Kafka and Apache Flink are better together. Get your copy now!

It’s baaack. Confluent’s second issue of Confluent Chronicles is here! Inside, you’ll find a clever, but relatable approach (if I do say so myself) to learn about the fundamentals of Apache Flink, stream processing, and Confluent. Our heroes, developer and architect team, Ada and Jax are struggling with decentralized data processing challenges and need a manageable, cost-effective stream processing solution for an important upcoming launch. They embark on their next adventure to learn why Apache Kafka and Apache Flink are better together. Get your copy now!

It’s baaack. Confluent’s second issue of Confluent Chronicles is here! Inside, you’ll find a clever, but relatable approach (if I do say so myself) to learn about the fundamentals of Apache Flink, stream processing, and Confluent. Our heroes, developer and architect team, Ada and Jax are struggling with decentralized data processing challenges and need a manageable, cost-effective stream processing solution for an important upcoming launch. They embark on their next adventure to learn why Apache Kafka and Apache Flink are better together. Get your copy now!

It’s baaack. Confluent’s second issue of Confluent Chronicles is here! Inside, you’ll find a clever, but relatable approach (if I do say so myself) to learn about the fundamentals of Apache Flink, stream processing, and Confluent. Our heroes, developer and architect team, Ada and Jax are struggling with decentralized data processing challenges and need a manageable, cost-effective stream processing solution for an important upcoming launch. They embark on their next adventure to learn why Apache Kafka and Apache Flink are better together. Get your copy now!