Introduction Traditional relational databases, such as MySQL and PostgreSQL, often face performance bottlenecks when handling large-scale data. Data warehouses require complex deployment and maintenance. A “newcomer” in the database field—DuckDB—is changing the way we analyze data with its unique charm. What is DuckDB? In simple terms, DuckDB is anembedded, in-process, OLAP database. Embedded: This means … Read more
1. Background SIMD stands for (Single Instruction Multiple Data), representing the ability to operate on a batch of data with a single instruction, allowing parallel operations on multiple sets of data with a set of instructions. This technology was first applied in video acceleration decoding, where Intel’s Pentium series introduced MMX (Multi-Media Extensions) technology to … Read more
【Abstract】 The banking industry widely uses databases, facing common challenges such as a variety of databases in non-core applications, complex SQL queries, and large volumes of historical data. These issues pose significant challenges for replacing domestic databases in non-core important systems. This article starts from the characteristics and transformation difficulties of these business systems, analyzes … Read more
Evaluation of a novel signature for PARP inhibitor sensitivity prediction using real-world data. Evaluation of a novel PARP inhibitor sensitivity biomarker using real-world data. First Author: Emily Vucic, Zephyr AI Background Tumors with homologous recombination repair deficiencies (HRD+) are susceptible to PARP inhibitors (PARPi) which exploit a synthetic lethality by targeting an essential base excision … Read more