Querying Live Data Using Open Source SQL Engines - A Comparison of Apache Flink, ksqlDB, and Other Tools
Explore real-time data querying using SQL engines like Apache Flink, ksqlDB, Trino, and RisingWave for streaming data analysis on Kafka and other message buses.
Why Lakehouse Architecture Now - Exploring Enterprise Data Warehouse Failures and the Need for Lakehouse Paradigm
Explore the shift from enterprise data warehouses to lakehouse architecture, focusing on benefits, challenges, and Starburst's role in powering SQL-based analytics on Delta Lake.
Delta Lake 2.0 Overview - New Features and Community Collaborations
Overview of Delta Lake 2.0 features, integrations, and community collaboration. Highlights include data skipping, Change Data Feed, column mapping, multi-cluster S3 writes, and support for various languages and platforms.
Getting Started with Delta Lake
Learn to create a Lakehouse architecture with Delta Lake, an open-source storage framework. Explore data reliability challenges, hands-on examples, and benefits for big data use cases in modern data engineering.
Cloud Agnostic Data Platform with DBT, Trino, Iceberg and MinIO
Explore a hands-on, cloud-agnostic data pipeline using TrinoDB, DBT, MinIO, and Apache Iceberg for scalable and lightweight analytics, suitable for both cloud and on-premise solutions.
Reducing Complexity and Increasing Performance with Trino
Discover how Trino's distributed SQL query engine revolutionizes data processing, featuring new capabilities like table procedures, polymorphic functions, and modern SQL features for enhanced performance.
Consuming Legend Data Models and Services Using BI, Python/ML and Other Tools
Explore integrating Legend data models with BI and ML tools. Learn about TDS protocol, query execution plans, and practical applications through demos of Pandas and Trino integrations.
Scaling Climate Data for FinTech with an Open Source Data Mesh
Explore how OS-Climate builds an open data platform for climate impact analysis using open-source tools. Learn about data mesh architecture, scalability challenges, and community-driven development.
Data Mesh for Instant Query - Why Trino on Data Mesh
Discover how modern data platforms are evolving from producer-centric to consumer-centric approaches, exploring Trino's role in data mesh architecture for efficient cross-platform data analysis and instant querying.
SQL 엔진을 더욱 강력하게 - 비정형 데이터 분석 정상에 서다
Discover how SK Hynix transforms unstructured semiconductor equipment data into structured formats using TrinoPy+, an enhanced SQL solution that enables seamless data preprocessing, analysis, and loading with single SQL queries.
Modern Industrial Data Platform - Technical Deep Dive
Dive into SKT's innovative approach to modern industrial data platforms, exploring on-demand data mesh architecture and active metadata management for enhanced data pipeline efficiency.
Reducing Complexity and Increasing Performance with Trino
Explore Trino's capabilities for efficient data querying across diverse sources, optimizing pipelines, and enhancing analytics performance in complex data environments.