YoVDO

ETL - Extract Trino Load: A Case for Trino as a Batch Processing Engine

Offered By: Linux Foundation via YouTube

Tags

Big Data Courses Data Transformation Courses Data Engineering Courses Data Integration Courses Batch Processing Courses ETL Courses Trino Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the potential of Trino as a powerful batch processing engine in this 45-minute conference talk presented by Andrii Rosa from Starburst Data. Delve into the concept of ETL (Extract, Transform, Load) and discover how Trino can be effectively utilized for large-scale data processing tasks. Gain insights into the advantages and use cases of employing Trino for batch operations, and learn about its capabilities in handling complex data transformations and integrations across various data sources.

Syllabus

ETL - Extract Trino Load - A Case for Trino as a Batch Processing Engine - Andrii Rosa


Taught by

Linux Foundation

Tags

Related Courses

Delta Lake 2.0 Overview - New Features and Community Collaborations
Databricks via YouTube Why Lakehouse Architecture Now - Exploring Enterprise Data Warehouse Failures and the Need for Lakehouse Paradigm
Databricks via YouTube Scaling Climate Data for FinTech with an Open Source Data Mesh
Linux Foundation via YouTube Getting Started with Delta Lake
Linux Foundation via YouTube Consuming Legend Data Models and Services Using BI, Python/ML and Other Tools
Linux Foundation via YouTube