Data ingestion is the process of loading data from external sources into a database. There are different methods of data ingestion depending on the type and frequency of the data, such as batch ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can ...

Its columnar memory format is optimized for modern CPUs and GPUs, enabling high-speed data access and manipulation, which is beneficial for processing time series data. Apache Parquet, on the ...

Abstract: Big Data query systems represent data in a columnar format for fast, selective access, and in some cases (e.g. Apache Drill), perform calculations directly on the columnar data without row ...

The Apache Arrow project is a standard for representing columnar data for in-memory processing, which has a different set of trade-offs compared to on-disk storage. In-memory, access is much faster ...

“Now they have added blended analytic-transaction processing support that leverages the performance advantage of columnar data management together with vector search in support of applications ...

I want to search over a cyclic structured set of data. Think "cities" belonging to "states" which are adjacent to other states which contain cities. NOTE: This project was developed on macOS. It is ...