YoVDO

Application and Practice of Data Integration Technology at Xiaomi

Offered By: The ASF via YouTube

Tags

Data Integration Courses Big Data Courses Distributed Computing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the application and practical scenarios of data integration technology at Xiaomi in this 27-minute conference talk by Zheng Junyuan, a senior software development engineer. Gain insights into the evolution of Xiaomi's data platform, self-developed middleware engine capabilities, and platformization practices. Learn about the evolution route, overall service architecture, and service scale of data integration technology, as well as solutions for offline/real-time synchronization scenarios, multi-source heterogeneous synchronization, and link exception fault tolerance. Discover the implementation of stream-batch integration, engine task orchestration models, and optimization rules in practice. Understand the principles, technical capabilities, and design intentions behind Xiaomi's self-developed distributed engine. Examine platformization capabilities, including data quality and link monitoring, integration of heterogeneous data platforms, link data correction, and resource estimation. Delve into the practical aspects of data integration in the engine platformization process, providing valuable insights for professionals in the big data and distributed computing fields.

Syllabus

Application And Practice Of Data Integration Technology In Xiaomi


Taught by

The ASF

Related Courses

Web sémantique et Web de données
Inria (French Institute for Research in Computer Science and Automation) via France Université Numerique
Linked Data Engineering
openHPI
Implementing ETL with SQL Server Integration Services
Microsoft via edX
Advanced Manufacturing Enterprise
University at Buffalo via Coursera
Big Data Services: Capstone Project
Yandex via Coursera