Joined June 2021
256 Photos and videos
ChistaDATA Inc. retweeted
15 Nov 2024
Replying to @deedydas
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
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ChistaDATA Inc. retweeted
15 Nov 2024
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.
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ChistaDATA Inc. retweeted
15 Nov 2024
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 #dba zurl.co/6jaj

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zurl.co/iwgT How do you implement row-level security in MariaDB? #MariaDB #DBATips #OpenSource #DBA #DataSecurity
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lnkd.in/gMDWfG5R How Long-Running Queries Negatively Influence PostgreSQL Execution Plans and Database Performance? hashtag#PostgreSQL hashtag#DBA hashtag#SQL hashtag#OpenSource hashtag#PostgreSQLTips
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zurl.co/fKPL Implementing an Oracle RMAN-Like Backup and Recovery Toolkit for ClickHouse #ClickHouse #OLAP #SQL #SQLTips #DBA #Analytics #ColumnStore #RealTimeAnalytics #Oracle #RMAN
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Use tools like Apache Avro or Protobuf to handle schema changes seamlessly in your data pipeline, ensuring backward compatibility. #SchemaManagement #DataPipelines #BigData #AI #ML #DataScience

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Reduce disk I/O bottlenecks by using compression and partitioning in your data pipelines. This speeds up data ingestion and processing! #DataEngineering #BigData #IOPerformance

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ChistaDATA Inc. retweeted
Projections in ClickHouse are a powerful feature designed to optimize query performance by precomputing and storing the results of specific queries or aggregations. #ChistaDATA @chistadata chistadata.com/performance-t…
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zurl.co/fOof Achieving Real-time Analytics with ChistaDATA's ClickHouse #ClickHouse #OLAP #SQL #SQLTips #DBA #Analytics #ColumnStore #RealTimeAnalytics
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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! 🎧
Replying to @Five9
@Five9 CTO and Head of AI, @jdrosen2, joined @MaribelLopez on "The AI with Maribel Lopez" podcast. They shared insights on the future of #TheNewCX, the impact #AI is having on the contact center experience today, and what's possible. Tune in: #CXNation livesocial.seismic.com/t6zUC…
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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
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zurl.co/B4Av Enhancing ClickHouse Performance: Strategic Insights on Partitioning #ClickHouse #OLAP #SQL #SQLTips #DBA #Analytics #ColumnStore #RealTimeAnalytics
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zurl.co/H9bz Why Delta Updates Are Not Recommended in OLAP Databases #ClickHouse #OLAP #SQL #SQLTips #DBA #Analytics #ColumnStore #RealTimeAnalytics
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zurl.co/4mwl Mastering Performance Tuning in ClickHouse: Tips for Inspecting Statistics Objects #ClickHouse #OLAP #SQL #SQLTips #DBA #Analytics #ColumnStore #RealTimeAnalytics
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zurl.co/hSxg Implementing a High-Performance 3-Node ClickHouse Cluster with ClickHouse Keeper for Read-Write Splitting and TTL-Based Archiving #ClickHouse #OLAP #SQL #SQLTips #DBA #Analytics #ColumnStore #RealTimeAnalytics
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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

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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
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ClickHouse’s built-in compression algorithms, like LZ4, reduce storage footprint without sacrificing query speed. Handle large datasets efficiently and cost-effectively. 💾 #ClickHouse #Compression #BigData #DataEfficiency
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