Remove state-rebalancing-structured-streaming
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How Rockset Handles Data Deduplication

Rockset

This blog post discusses data duplication, how it plagues teams adopting real-time analytics , and the deduplication solutions Rockset provides to resolve the duplication issue. Stop Duplication During ETL Jobs Stream-processing ETL jobs is another deduplication method. This involves deduplication during data stream consumption.

Kafka 52
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Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion

Rockset

Rockset is a database used for real-time search and analytics on streaming data. In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. lower latency than Elasticsearch for streaming data ingestion.

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How Rockset Separates Compute and Storage Using RocksDB

Rockset

In this blog, we’ll walk through how Rockset provides compute-storage separation while making real-time data available to queries. If we add or remove a node from the hot storage layer, the number of collection slices that will change owner while rebalancing will be proportional to 1/N where N is the number of nodes in the hot storage layer.

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Reflections on Event Streaming as Confluent Turns Five – Part 1

Confluent

When you finally understand log-structured merge trees, it’s a rewarding feeling. When Apache Kafka ® consumer group rebalancing clicks, you feel good. This is one of those intellectual influences that sometimes passes beyond notice, but it’s something that’s definitely happening with event streaming. Just as one should.

Kafka 9