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4x Faster Search Query Performance with Rockset’s Row Store Cache

Rockset

In this blog post we will talk about how we made this step much faster, yielding a 4x speedup for customers' search-like queries. This blog presents how we improved the performance of search query CPU utilization and latency by analyzing search-related workloads and query patterns. These blocks contain multiple key-value pairs.

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Deployment of Exabyte-Backed Big Data Components

LinkedIn Engineering

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes. 0 missing blocks.

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Data Engineering Weekly #135

Data Engineering Weekly

The blog narrates LLM training options, Storage & retrieval, and the value chain to use LLM in your private data. The optimization around prefetching data with a separate thread, the decision not to support complex data types, and the complexity around Avro’s sequential block read are informative to know more about Avro.

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Data Engineering Weekly #150

Data Engineering Weekly

If we had the Data Mesh SQL Processor earlier, we would’ve been able to avoid spending engineering resources to build smaller building blocks such as the Union Processor, Column Rename Processor, Projection, and Filtering Processor. The blog is a classic case study for data engineers who like to build SQL-like abstractions.

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Data Engineering Weekly #134

Data Engineering Weekly

The author highlights the recent trend of increasing non-commercial & restrictive licenses. The author advocates avoiding the time-consuming regulatory process during the initial stages of the team by restricting data sourcing to its velocity. The questions are the founding block for any system optimization.

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PinCompute: A Kubernetes Backed General Purpose Compute Platform for Pinterest

Pinterest Engineering

PinPod is the basic building block for general purpose compute at Pinterest. Like the native Kubernetes Pod, PinPod inherits the Pod’s essence of being a foundational building block while providing additional Pinterest-specific capabilities. Then, the workload shards get propagated to member clusters for execution.

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Data Engineering Weekly #142

Data Engineering Weekly

Joe Reis, author of "The Fundamentals of Data Engineering," and Vinoth Chandar, creator of Apache Hudi and founder of OneHouse.ai. link] Sponsored: Great Data Debate–The State of Data Mesh Since 2019, the data mesh has woven itself into every blog post, event presentation, and webinar. 🚀 Stay tuned for all the details!