Polars — Processing hundreds of GBs of textual data on a daily basis at MDPI
pola.rs
Polars — Processing hundreds of GBs of textual data on a daily basis at MDPI
The bank bought a Hadoop cluster with fifty server nodes and eight hundred processor cores that is capable of handling a petabyte of data.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
This HPA application takes data out of a Hadoop cluster and puts it into other parallel computing and in-memory software architectures. Macy’s also says it has achieved 70 percent hardware cost reductions. Kerem Tomak,
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
GitHub - readysettech/readyset: Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the...
readysettechgithub.com
LanceDB
LanceDB is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust 🦀 and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.
Both the database and the un... See more
LanceDB is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust 🦀 and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.
Both the database and the un... See more