I had a candidate do a very simple linked list question (find and remove a node) entirely via C template metaprogramming.
We made an offer but he turned us down saying the work would be too boring
For non programmers, SQL (structured query language) is usually used to get data in and out of tables.
Few people know it can be used as a full feature programming language and have the skill to do it.
It's like asking someone to take a picture and they draw a photorealistic one in pencil.
Using strace to troubleshoot #MySQL performance issues can be highly effective, especially for diagnosing low-level system calls and pinpointing issues like excessive I/O, network delays, and file access bottlenecks. strace captures and logs system calls made by a process, which helps you understand MySQL's interactions with the operating system. #MySQLPerformance@MinervaDB#dbazurl.co/6jaj
Reduce disk I/O bottlenecks by using compression and partitioning in your data pipelines. This speeds up data ingestion and processing! #DataEngineering#BigData#IOPerformance
Projections in ClickHouse are a powerful feature designed to optimize query performance by precomputing and storing the results of specific queries or aggregations. #ChistaDATA@chistadatachistadata.com/performance-t…
Great episode! 🎙️ Excited to hear how AI is transforming customer experiences at the contact center level. Looking forward to the future of #TheNewCX with @Five9 and how #AI will continue driving innovation. 🔥 #CXNation#AIForCX
Tuning in now! 🎧
Exciting move towards transparency and collaboration! 👏 Open-source public service code fosters innovation, accountability, and community-driven improvements. Hope more countries follow Switzerland's and Bulgaria's example! 🌍 #OpenSource#DigitalSovereignty#TechForGood
🇨🇭 Switzerland Goes Open Source: Switzerland mandates public service code to be open-sourced, following Bulgaria’s lead. The EMBAG law promotes transparency, allowing free use and distribution, with some security exceptions. #OpenSource#Switzerland#PublicServices
Vectorized query engines drastically accelerate #AI and #ML workloads by processing data in SIMD (Single Instruction, Multiple Data) fashion. This parallelism enables high-throughput, low-latency computations, crucial for large-scale #DataScience tasks and real-time analytics. 🚀 #BigData#DeepLearning#HPC#MachineLearning#AIResearch
With distributed processing, ClickHouse scales horizontally to handle petabytes of data while maintaining low-latency responses. Scale your real-time analytics effortlessly! 🏗️ #ClickHouse#Scalability#DistributedSystems#RealTimeData