Comparing Elasticsearch with Apache Doris: Part 2️⃣ #loganalysis #fulltextsearch #aggregation #joinquery #database
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Comparing Elasticsearch with Apache Doris: Part 1️⃣ #loganalysis #invertedindex #database
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Transform postgres to a vector database with its pgvector extension to run approximate nearest neighbor and find similar vectors of a given one super fast with traditional sql even in billions! 🎥 https://lnkd.in/eYgChrxx #machinelearning #deeplearning
Postgres As A Vector Database: Billion-Scale Vector Similarity Search With pgvector
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Best Selling Co-Author of “Apache Iceberg: The Definitive Guide” | Senior Tech Evangelist at Dremio (Data Lakehouse Evangelist) | Tech Content Creator
POSTGRES -> ICEBERG -> DASHBOARD Get hands on with me in this video where we seed some data in Postgres, ingest it into Iceberg with Dremio and building and connect to Apache Superset to build Dashboards. Dremio Hands-on: Ingesting Postgres Data into Apache Iceberg and Serving a Dashboard https://lnkd.in/eJ3H4tUc #DataEngineering #DataLakehouse #ApacheIceberg #ApacheSuperset #BIDashboards
Dremio Hands-on: Ingesting Postgres Data into Apache Iceberg and Serving a Dashboard
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Follow this easy tutorial where our own Sébastien Blanc shows you how to capture data changes from MySQL to Apache Kafka using Debezium. Check it out here 👉 https://lnkd.in/dXAatGUU
Enabling change data capture from MySQL to Apache Kafka® with Debezium
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Putting DuckDB in Postgres to Query Iceberg https://lnkd.in/e-ZRHHT3
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Apache Doris 2.1.4 is available now! 📣 It is optimized in terms of data lakehouse capabilities, query optimizer, and asynchronous materialized view, with higher usability and stability in query execution, semi-structured data analysis, Unique Key model, data ingestion/control, memory management, and privilege management. Just to list a few of the key improvements: 🎈The new query optimizer now supports high-concurrency point queries. 🎈Support native reader of Apache Paimon deletion vector, which largely improves data update/deletion efficiency. 🎈Access controller supports Data Mask with Hive Ranger plugin 🎈Support for transparent rewriting in single-table asynchronous materialized views 🎈Support fetching file lists of Hive/Hudi tables in batches (The list fetching latency for 1.2 million files has reduced from 390s to 46s.) ... Read more: https://lnkd.in/gr2nAd5F #opensource #database #dataengineer #bigdata #datalakehouse #OLAP #ApacheSoftwareFoundation
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"Chapters: 00:00 Introduction 01:12 Challenges with Elasticsearch and the Need for ParadeDB 02:29 Why Postgres? 06:30 Technical Details of ParadeDB's Search Functionality 18:25 Analytics Capabilities of ParadeDB 24:00 Understanding ParadeDB Queries and Transactions 24:22 Application Logic and Data Workflows 25:14 Using PG Cron for Data Migration 30:05 Scaling Reads and Writes in Postgres 31:53 High Availability and Distributed Systems 34:31 Isolation of Workloads 39:38 Database Upgrades and Migrations 41:21 Using ParadeDB Extensions and Distributions 43:02 Observability and Monitoring 44:42 Upcoming Features and Roadmap 46:34 Final Thoughts" https://lnkd.in/ezC8yRaf
SuperCharging PostgreSQL for Search and Analytics - ParadeDB (Philippe Noël)
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It should be illegal to create tables or collections using any of the following case: 1. camelCase 2. kebab-case 3. SCREAMING_SNAKE_CASE 4. UPPERCASE 5. PascalCase 6. Title Case Imagine you use any of the above on a postgres database and you eventually leave the project. You are leaving behind headache for maintainers. Stick to lowercase or snake_case.
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Had similar experience
It should be illegal to create tables or collections using any of the following case: 1. camelCase 2. kebab-case 3. SCREAMING_SNAKE_CASE 4. UPPERCASE 5. PascalCase 6. Title Case Imagine you use any of the above on a postgres database and you eventually leave the project. You are leaving behind headache for maintainers. Stick to lowercase or snake_case.
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We get there together! | Building win-win relationships | Emerging Tech | Open Source Software | OEM Partnerships
If you are looking for some insight on capturing data changes from #mysql to #kafka using #debezium then join this session. #data #aiven #confluent
Follow this easy tutorial where our own Sébastien Blanc shows you how to capture data changes from MySQL to Apache Kafka using Debezium. Check it out here 👉 https://lnkd.in/dXAatGUU
Enabling change data capture from MySQL to Apache Kafka® with Debezium
https://www.youtube.com/
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