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Build Online Data Lakehouse and Enable Cold/Hot Data Tiering Over MySQL Tech Stack

Build Online Data Lakehouse and Enable Cold/Hot Data Tiering Over MySQL Tech Stack Scan QR to continue learning QR codes are valid for 30 minutes

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Course Intro

As your data expands, you may notice that MySQL struggles with analytical queries involving large datasets, especially when performing operations like grouping, filtering, and summation on over ten million rows. To enhance performance and manageability, transitioning to a data warehouse solution can be beneficial. By integrating OLTP and OLAP systems, you can achieve real-time synchronization and effectively handle large volumes of data without sacrificing speed.

AnalyticDB for MySQL, combined with the Data Transmission Service (DTS), offers a robust solution by enabling real-time data synchronization from a variety of MySQL databases, including self-managed MySQL, ApsaraDB RDS for MySQL, and PolarDB for MySQL. This setup not only boosts performance for real-time analytics but also offers a cost-effective approach for handling terabyte-scale data. Additionally, the intelligent hot and cold data tiering feature helps to further reduce storage costs, ensuring your data infrastructure remains both efficient and economical.

Blog:

https://www.alibabacloud.com/blog/real-time-analytics-with-alibaba-cloud-high-performance-data-warehousing_602010

instructor

Solution Architect